Yvonne's Tips For Teacher Blog

Yvonne's Tips For Teacher Blog

Saturday, April 19, 2025

Post 517: AI's Role in Equitable Access To Education at Christian Universities

 

AI’s Role in Equitable Access to Education at Christian Universities
by Yvonne Ho

Summary:
This article explores how artificial intelligence (AI) can help bridge the digital divide in Christian universities, focusing on how AI can offer equitable access to educational resources for underserved populations. Through case studies, the article demonstrates the impact of AI-driven tools in supporting distance learners, first-generation students, and those from disadvantaged backgrounds, all while aligning with Christian principles of justice and equality.

The California Department of Education is actively pursuing initiatives that leverage AI to address the digital divide in education. Their "Closing the Digital Divide Initiative" aims to eliminate disparities in access to computing devices and connectivity among students in California (California Department of Education, 2023). AI tools have the potential to improve access for marginalized populations by offering features like language translation for multilingual students, voice typing for students with disabilities, and organizational tools that support executive functioning. For instance, some universities are employing AI-powered chatbots to assist students with navigating admissions, financial aid, and academic advising. Georgia State University found that students who used their AI chatbot were 3% more likely to re-enroll, with the greatest impact seen among low-income and first-generation students (Zhang, 2022).

At Los Angeles Pacific University (LAPU), the IT team, including key contributors like Daniel Terrones, Mike Wilday, and George Hanshaw, collaborated with the Nectir platform to create Spark, an AI course assistant. Spark helps students brainstorm essay ideas, comprehend difficult concepts, complete assignments, and receive feedback on essay revisions. Unlike ChatGPT, which pulls information from the internet, Spark is specifically trained using the syllabus, lectures, and open educational resources (OER) textbooks from each individual course. As a result, Spark offers tailored assistance that mirrors the knowledge and teaching style of the professor (Ho, 2024). Deployed across all LAPU courses within just four weeks in Spring 2024, Spark enables every LAPU student to access equitable educational resources, fostering inclusivity.

The name "Spark," coined by Mike Wilday, embodies the idea that AI should ignite students’ imagination and curiosity. Each Spark is uniquely trained for its corresponding course, meaning that a Spark chatbot for an English 101 class cannot assist with assignments from a psychology course. This specialization creates the experience of having a 24/7 virtual tutor, which is particularly beneficial for disadvantaged and first-generation students.

For example, consider a scenario with Joe Doe, a student whose first language is Spanish. He struggles with comprehending his psychology textbook due to language barriers. Joe consults Spark, asking for an explanation of a difficult psychological theory in Spanish. Spark provides the explanation in Joe’s native language, enabling him to keep pace with his peers. Additionally, if Joe needs help translating his Spanish responses into native-level English, Spark can assist, thereby leveling the playing field for Joe, an English-as-a-Second-Language (ESL) student (Ho, 2024). This aligns with Christian values of equity and fairness.

Similarly, Jane Doe, a native English speaker who dislikes reading, struggles with her psychology coursework. She turns to Spark, requesting an explanation of complex psychological concepts in simple, easy-to-understand language. Spark explains the concepts in a manner relatable to Jane’s life, sparking her understanding and boosting her confidence. With this newfound comprehension, Jane can actively participate in class discussions and feel a sense of belonging (Ho, 2024).

Another example involves Jack Doe, a non-traditional student who works the graveyard shift. When Jack sits down to complete his online assignments at 3 a.m., his instructors are unavailable. However, Jack can turn to Spark, which, unlike a human professor, is always accessible. Spark offers Jack detailed instructions for his assignments in a tone that mimics his professor's, enabling Jack to work at his own pace without the constraints of traditional class hours (Ho, 2024).

Finally, Joan Doe, a student who has consistently struggled with writing, enters her English 101 course with little confidence. When she encounters writer’s block, she uses Spark to brainstorm ideas for her persuasive essay. Through a series of probing questions, Spark helps Joan articulate her thoughts, and together, they craft her first essay. By the end of the course, Joan’s writing has improved, and she develops a newfound appreciation for writing. When Joan expresses concern about losing Spark’s help after the course, her professor reassures her that Spark is available in every LAPU course (Ho, 2024).

In education, AI tools help create more equitable access for underserved students, aligning with Christian values of fairness and justice. By offering personalized learning experiences, AI can assist students who struggle, such as those learning English as a second language, by providing translation services or simplifying complex ideas. This tailored support ensures that every student has the opportunity to succeed, regardless of their background or abilities. Christian teachings emphasize the importance of defending and uplifting the marginalized, as seen in Proverbs 31:8-9, which states, "Speak up for those who cannot speak for themselves, for the rights of all who are destitute. Speak up and judge fairly; defend the rights of the poor and needy" (Proverbs 31:8-9, New International Version). In the same way, AI provides a voice for students who may not be able to advocate for themselves in traditional learning environments.

AI also plays a vital role in supporting students with disabilities, offering tools such as voice typing or text-to-speech to ensure accessibility for all. This focus on inclusion reflects Christian values of unity and equality, as everyone is given a fair chance to achieve their potential. Just as the Bible teaches that we are all equal in God's eyes, regardless of our circumstances, AI ensures that education is accessible to all. Galatians 3:28 reminds us that "There is neither Jew nor Gentile, neither slave nor free, nor is there male and female, for you are all one in Christ Jesus" (Galatians 3:28, New International Version). In this spirit, AI helps bridge the gap, allowing every student, regardless of ability, to participate fully in their education.

For students from disadvantaged backgrounds or those juggling work and family responsibilities, AI's 24/7 availability provides crucial support. Many non-traditional students cannot adhere to regular school hours, but AI allows them to access learning tools at any time, fostering an environment of inclusivity and equity. This flexibility ensures that all students, including those with non-traditional schedules, have equal opportunities to succeed. The Bible encourages us to treat others as we would want to be treated, and Luke 6:31 states, "Do to others as you would have them do to you" (Luke 6:31, New International Version). By offering constant support, AI reflects this principle of fairness and compassion.

Furthermore, AI offers a non-judgmental space for students to ask questions and seek help without fear of embarrassment. This is especially beneficial for students who may feel hesitant to ask questions in front of their peers, allowing them to grow in confidence and understanding. The Bible instructs believers not to show favoritism or discrimination, as seen in James 2:1, which states, "My brothers and sisters, believers in our glorious Lord Jesus Christ must not show favoritism" (James 2:1, New International Version). AI creates an inclusive learning environment, treating all students equally and helping them reach their potential without fear of judgment.

Thus, AI supports the marginalized by leveling the playing field, particularly for students from underserved communities. By providing tools that enhance understanding and participation, AI enables these students to succeed alongside their peers, reflecting the Christian call to defend and uplift the disadvantaged. Isaiah 1:17 calls on us to "Learn to do right; seek justice. Defend the oppressed. Take up the cause of the fatherless; plead the case of the widow" (Isaiah 1:17, New International Version). In this way, AI aligns with Christian principles by offering underserved students the resources and support they need to thrive in their educational journey.

In conclusion, integrating AI into the classroom helps close the digital divide by providing students with around-the-clock support, particularly benefiting first-generation, ESL, and non-traditional students. AI tools like Spark offer a non-judgmental, always-available resource that enables students to seek help without fear of ridicule. By fostering an inclusive learning environment, AI helps even the playing field, which aligns with Christian values of equity and equality. As Proverbs 3:5-6 suggests, trusting in God and utilizing the tools He provides, such as AI, can help all students succeed in their academic journeys (New International Version, 1978).

References
California Department of Education. (2023). Closing the digital divide initiative.
https://www.cde.ca.gov/
Zhang, W. (2022). AI chatbots and student success: Evidence from Georgia State University. Journal of Educational Technology, 35(1), 45-62.

 

Post 516: Summary of my Study of ESL and AI in Christian Universities

 

The study titled "From Barriers to Bridges: Generative AI for ESL Students in Christian Higher Education" by Yvonne Ho explores the use of artificial intelligence (AI) to assist English as a Second Language (ESL) students in Christian universities. The research focuses on the unique challenges faced by these students, such as language barriers and cultural integration, which impact their academic success and social integration. It posits that AI-driven language learning tools can offer personalized support, real-time feedback, and adaptability to individual learning styles, thereby fostering an inclusive and compassionate educational environment that aligns with Christian values. The study also addresses the ethical implications of using AI in language education, ensuring that these tools reflect the mission of Christian institutions and contribute to the cultural and spiritual growth of ESL students.

ESL students in Christian universities face several primary challenges, including:

1. Academic Writing Demands: They struggle with writing academic papers due to issues like grammatical errors, limited vocabulary, and difficulties with syntactical structures .

2. Cultural Adjustment: Navigating the norms and expectations of a faith-based educational setting can be difficult, particularly for students from diverse cultural or religious backgrounds. This can lead to feelings of isolation or confusion as they balance their cultural identities with the university's religious norms .

3. Access to Resources: Many ESL students find that while some language assistance is available, it may not adequately meet their unique needs, making it harder for them to succeed academically and integrate into the community .

4. Participation in Class Discussions: There is often a reluctance to participate in discussions due to fears of judgment or misunderstanding, which can further contribute to feelings of isolation .

These challenges can hinder their academic success and overall integration into the university community

AI technologies can enhance language learning for ESL students in several ways:

1. Personalized Instruction: AI-driven tools can provide tailored lessons that cater to individual learning styles and needs, allowing students to practice language skills at their own pace .

2. Real-Time Feedback: These tools can offer immediate feedback on language use, enabling students to learn from their mistakes and reinforce correct language practices .

3. Opportunities for Intercultural Communication: AI platforms can facilitate connections with native speakers, enhancing cultural understanding and language practice opportunities .

4. Overcoming Language Barriers: AI-powered tools, such as translation services, can assist students in overcoming language challenges during group projects and discussions, promoting effective collaboration .

5. Increased Engagement: Using interactive AI applications can make language learning more engaging, motivating students to participate actively in their language acquisition journey .

Overall, AI contributes significantly to fostering an inclusive and effective learning environment for ESL students.

The ethical considerations discussed regarding the use of AI in education include:

1. Bias and Inclusivity: It is crucial to design AI systems that avoid perpetuating linguistic or cultural stereotypes. Training AI on diverse datasets can help ensure that tools are accessible and effective for all students, regardless of their background (.

2. Data Privacy: Protecting the personal information of students is paramount. AI systems must comply with data protection regulations, and institutions should establish clear policies regarding data collection, storage, and usage to maintain students' privacy .

3. Human Mentorship: While AI can provide valuable support, it should complement rather than replace human mentorship. Emotional support, cultural understanding, and individualized guidance must continue to be provided by human educators .

4. Impact on Teacher-Student Dynamics: The integration of AI might affect the interactions between teachers and students, and careful consideration is needed to ensure that the educational process is not undermined by technology .

These ethical considerations aim to maximize the potential of AI in education while safeguarding students' rights and well-being.

The Quantitative Data Analysis section discusses the evaluation of AI tool adoption among ESL students through structured surveys.

Hypothesis The central hypothesis of the study is that Spark usage will increase over time as students become more familiar with the AI tool and its functionalities .

Methods:

- A mixed-methods approach is employed, utilizing both quantitative survey data and qualitative feedback from Week 8 Forum posts and emails.

- The survey evaluates students' usage frequency, satisfaction, and learning outcomes related to the AI tool Spark, across multiple academic terms (Summer I, Fall I, and Fall II 2024) (.

Results:

- Numbers indicate varying adoption rates and satisfaction levels across different course sections. For example, Section 04 in the Summer Session I had an adoption rate of 85% with high effectiveness ratings (99% helped understand material), while Section 01 in Fall showed lower satisfaction at 50% despite a high adoption rate (90%) .

Conclusions:

- The analysis suggests that while many students are adopting the AI tool, satisfaction and effectiveness in enhancing learning vary significantly between course sections.

- Higher usage is correlated with increased satisfaction and positive learning outcomes, supporting the hypothesis that familiarity with the AI tool leads to better academic experiences.

The results indicate a positive trend in AI adoption but highlight the need for further improvement in user experiences and support in specific sections.

Trends based on Quantitative Data

Based on the quantitative data, several trends can be observed regarding student attitudes toward AI tools like Spark:

1. Increasing Adoption Rates: The data indicates a general upward trend in the adoption rates of AI tools across the academic terms. For instance, significant percentages of students reported using AI multiple times, suggesting growing familiarity and acceptance of these tools over time (Page 19).

2. High Satisfaction Levels: A substantial portion of students expressed satisfaction with AI's availability and effectiveness in supporting their learning. For example, the data shows that high percentages of respondents agreed that AI helped them understand course material and clarified doubts, indicating a positive attitude toward its utility in their studies (Pages 17-19).

3. Enhanced Learning Experiences: The trends reflect that many students felt that AI tools enhanced their overall learning experiences. Reports on satisfaction and learning enhancement reveal that a considerable number of students agree or strongly agree with these statements (Page 18).

4. Utilization for Academic Support: The frequency of use data suggests that students are increasingly turning to AI not just for occasional help but as a consistent resource for academic support, further illustrating a trend of reliance on AI in their educational experiences (Page 18).

5. Positive Longitudinal Impact: As students navigate through their courses and become more accustomed to the AI tools, the hypothesis suggests that their usage and positive attitudes toward these tools will likely continue to grow, highlighting an emerging trend of integration within the learning process (Page 19).

The quantitative data demonstrates a positive trajectory in student attitudes toward AI, characterized by rising adoption, high satisfaction levels, and an acknowledgment of the benefits AI tools bring to their academic journeys.

Results from the Qualitative Data

The Qualitative Data Results, derived from Week 8 Forum comments, provide valuable insights into student attitudes toward AI tools such as chatGPT and Spark.

Students generally expressed a favorable attitude toward the use of AI in their learning experience. Key points from the qualitative feedback include:

1. Perceived Benefits: Many students highlighted that AI tools offered significant support in clarifying coursework, facilitating understanding of complex material, and providing additional resources for study .

2. Enhanced Engagement: Participants noted that the interactive nature of AI tools increased their motivation to engage with course content and participate actively in discussions .

3. Concerns and Limitations: While students appreciated the benefits, some raised concerns about the accuracy of AI-generated content and potential over-reliance on these tools, indicating a desire for balance between AI support and human instruction (Page 25).

4. Feedback on Usability: Students provided suggestions on improving AI interface usability and responsiveness, emphasizing the need for intuitive design that accommodates varying levels of tech proficiency

The qualitative analysis captures a generally positive reception of AI tools among students, alongside constructive criticism, suggesting that educators should focus on addressing usability concerns while maximizing the benefits of AI in education

Your quantitative data is  considered valid and consistent due to several key factors:

1. Structured Methodology: The surveys were designed with clear questions that align closely with the research objectives, ensuring that the data collected directly reflects the students' experiences and perceptions of the AI tool

2. Diverse Data Sources: The study employed a mixed-methods approach, combining quantitative survey results with qualitative feedback. This triangulation of data enhances the credibility and validity of the findings as it provides multiple perspectives on the same issue (

3. Large and Representative Sample: The data collected from multiple sections and academic terms allows for a comprehensive analysis of trends and behaviors across a wider student population, increasing the reliability of the results

4. Statistical Analysis: A robust statistical analysis was applied to determine the adoption rates, satisfaction levels, and perceptions of effectiveness, which supports the consistency of the results over time and across different segments

5. Comparative Framework: By comparing results across different terms and sections, the study can demonstrate patterns of change and consistency in student engagement with the AI tool, strengthening the overall findings

These factors collectively contribute to the validity and consistency of your quantitative data, reinforcing confidence in the conclusions The qualitative data is considered valid and consistent for several reasons:

1. In-depth Feedback: The use of open-ended responses in Week 8 Forum comments allows students to express their thoughts and experiences in their own words, providing deeper insights into their attitudes toward AI tools like chatGPT and Spark . This richness of data lends credibility to the findings.

2. Diverse Perspectives: The qualitative analysis captures a range of student experiences and opinions, reflecting the diversity within the student population. This variety helps ensure that the data is representative of different viewpoints, enhancing its validity

3. Sustained Engagement: The feedback was collected at a critical point in the course (Week 8), allowing for a thorough evaluation of students' ongoing experiences with the AI tools. This context helps ensure that the feedback is timely and relevant

4. Alignment with Quantitative Data: The insights gathered from qualitative data complement and support the quantitative findings, reinforcing the overall conclusions drawn in the study. This alignment helps confirm the consistency of the data across different research methods.

5. Thematic Analysis: A systematic approach to analyzing the qualitative data, focusing on common themes and insights, enhances the reliability of the findings. By identifying patterns in the responses, researchers can effectively validate the attitudes expressed by students drawn from the analysis.

 

Post 515: From Barriers to Bridges: Generative AI for ESL Students in Christian Higher Education

 

From Barriers to Bridges: Generative AI for ESL Students in Christian Higher Education by Yvonne Ho, MA, ESL, UCLA

Absract:
This study explores the potential of artificial intelligence (AI) to bridge the language gap for English as a Second Language (ESL) students in Christian universities. By taking advantage of AI-driven technologies, this research aims to develop innovative language learning tools and strategies that cater to the unique needs and cultural backgrounds of ESL students within a faith-based educational context. The study will investigate how AI can personalize language instruction, provide real-time feedback, and enhance intercultural communication skills. This research will examine the ethical implications of AI in language education and explore ways to ensure that AI-powered tools align with the values and mission of Christian institutions. The findings of this study have the potential to revolutionize language learning for ESL students, fostering academic success, cultural integration, and spiritual growth within Christian university communities. (Ho, 2024)

 Introduction: Background and Significance

In Christian universities, English as a Second Language (ESL) students face a unique set of challenges. Language barriers often hinder their academic success and social integration, while cultural adjustments can make it difficult to feel connected to their new environments (Lessard-Clouston, 2015). These students must not only master the English language but also navigate a new academic system and build relationships in a community with different cultural norms. For these reasons, supporting ESL students requires thoughtful strategies that go beyond traditional language instruction. One promising solution is the integration of Artificial Intelligence (AI) into language learning, which can offer personalized, scalable, and flexible tools to help students overcome these obstacles).

AI-driven language learning tools can provide ESL students with targeted support, enabling them to practice language skills at their own pace and receive real-time feedback. These tools can be tailored to individual learning styles and needs, making them a valuable resource for students who may struggle in traditional classroom settings (Li, 2016). Furthermore, AI technologies align with the Christian values of inclusivity, compassion, and service by providing equitable educational opportunities for all students, regardless of their linguistic or cultural backgrounds. By fostering an environment where ESL students can thrive academically and socially, AI supports the mission of Christian universities to promote love, respect, and mutual understanding.

The objective of this paper is to explore the potential benefits of AI-driven language learning tools for ESL students in Christian universities. By examining current research and the integration of AI with Christian educational values, this paper will demonstrate how AI can enhance both language acquisition and the broader academic experience for ESL students. The thesis is that AI technologies can play a crucial role in addressing the unique challenges faced by ESL students while fostering an inclusive and compassionate learning environment. (Ho, 2024)

 II. Challenges Faced by ESL Students in Christian Universities

ESL students in Christian universities often face significant language barriers that affect their comprehension and communication. Limited proficiency in English can make it difficult for students to participate in class discussions, write academic papers, and fully engage with course materials (Lessard-Clouston, 2015). This challenge is compounded by the specific academic writing demands of Christian universities, where students are expected to not only understand complex theological concepts but also express them clearly in English. Academic writing problems such as grammatical errors, limited vocabulary, and difficulties with syntactical structures are common challenges for ESL students in higher education.

Cultural adjustment is another challenge, as ESL students may find it difficult to navigate the norms and expectations of a faith-based educational setting. Christian universities often emphasize values and practices that may be unfamiliar to students from diverse cultural or religious backgrounds. Balancing their own cultural identities with the religious and cultural norms of the university community can create a sense of isolation or confusion. Li (2016) reports on interactions between Chinese international students and faculty members at faith-based universities, which highlights how cultural adjustment challenges are common in such settings.

Access to resources is also a critical issue for ESL students in Christian universities. While some universities offer general language assistance, it may not be enough to address the unique needs of students struggling with both language and cultural adjustment. The lack of such tailored resources can leave ESL students feeling unsupported, making it harder for them to succeed academically and integrate into the university community (TESOL Ministry, n.d.; Wheaton College, n.d.). Many ESL students hesitate to participate in class discussions, fearing judgment from peers or the possibility of being misunderstood. This reluctance can lead to feelings of isolation and a lack of full integration into the learning community (OnTESOL, n.d.; Neville, n.d.).

Addressing these language barriers is crucial for fostering an equitable and supportive environment where ESL students can thrive academically and spiritually (LSE, 2022; Cleveland State University, n.d.).AT LAPU, the demographic for the common student is a female Hispanic of 29 years. An LAPU student is a non-traditional adult student who is raising children, paying a mortgage and has a full time job all at the same time. Some students are single parents. Many LAPU students are the first in their family to graduate from college. The most common ESL language is Spanish. As a teacher of ENGL 101, Prof. Ho has students who may not know how to write a sentence, a paragraph or know how to put together an academic essay. Students have the hardest time writing their essay in third person case. Some students struggle in writing because their first language is not English, but is Spanish. (Ho, 2024)

Many LAPU students who are ESL and speak Spanish as their first language disclose in their introductions the difficulties they faced in English writing. They mention in their introduction how when taking ESL/English in high school, they remember all the red marks of grammar errors, punctuation errors, sentence structure errors and essay structure errors. When a Spanish speaking student writes an essay, the make ESL Spanish mistakes. For instance, in Spanish, the subject is often missing from a sentence. Example: “Is a good house”  or “is a good person. Because in Spanish these sentences are correct. For Spanish speaking ESL students, I often have to correct these ESL students by telling them that in English we always start the sentence with the noun/subject. Many ESL students, not just the Spanish speaking students disclose that they are nervous taking English and writing in English because English is not their first language. They are nervous to write essay, and they are nervous to talk to the teacher because they are too conscious of their English mistakes when speaking or writing. (Ho, 2024)

 III. AI Solutions for ESL Students in Christian Universities

AI helps ESL students with grammar, essay structure, sentence structure, and vocabulary expansion (Kim, 2019). Writing is an essential skill that plays a crucial role in communication, education, and career success. However, for non-native speakers, mastering a new language and improving their grammar skills can be a daunting task. Thankfully, with advancements in technology, AI writing tools have emerged as a valuable resource to support language learners in their journey towards becoming more proficient writers

One of the primary benefits of AI is their ability to provide instant grammar and spelling assistance. Non-native speakers often struggle with the complex rules and exceptions of a foreign language, making it challenging to write error free content.AI writing tools, such as Grammarly and Hemingway Editor, analyze the text for grammatical errors, punctuation mistakes, and spelling errors, allowing users to identify and correct their mistakes efficiently. For instance, if a non-native English speaker is unsure about the correct usage of articles or prepositions, these AI tools can detect and suggest the appropriate changes, ensuring that the writing is clear and precise. For ESL students, it is difficult for them to know when to use articles. They don’t know the difference between, “I am going home’ vs “I am going to the home’. To American ears, if an ESL student says, “I am going to the home”, this means that the American is going to a nursing home perhaps to visit an elderly parent, or to take care of an elderly parent, or they themselves are too old and are being sent to a nursing home vs “I am going home” which simply means that the American is returning to his own house.  To ESL ears, these phrases sound exactly alike. AI can then explain the difference to the ESL student thus giving the ESL student equity in the online classroom. (Ho, 2024)

Building a rich vocabulary is crucial for effective writing. However, non-native speakers may lack the extensive word knowledge necessary to express their ideas eloquently. AI writing tools can come to the rescue by offering vocabulary enhancement features (Kim, 2019). These tools suggest alternative words or phrases to help diversify and enrich the language used in a text. By providing synonyms or offering context-based vocabulary suggestions, AI writing tools empower non-native speakers to expand their lexicon and improve the overall quality of their writing. This not only enhances their ability to convey their thoughts accurately but also adds depth and sophistication to their writing style.

Writing in a foreign language may pose challenges in terms of maintaining an appropriate style and tone. AI writing tools assist non-native speakers by providing guidance on the style and tone of their writing. For instance, some tools can detect overly complex sentences and suggest simplifications to make the content more readable (AIContentfy, 2023). AI tools can analyze the tone of the text, ensuring that it aligns with the intended audience or purpose (Sharma, 2024). By offering real-time feedback and suggestions, these tools enable non-native speakers to develop a more authentic and coherent writing style (Pepper Content, 2024). ESL students tell Prof. Ho that they love sounding more like a ‘native speaker of English’ when they write in the forums or write their essays thanks to AI. Writing in different contexts requires a certain level of customization to effectively communicate ideas and messages. This is especially crucial for non-native speakers who are learning to improve their writing skills. AI writing tools have stepped in to assist in this process, providing valuable resources and guidance to tailor writing to specific contexts.  (Ho, 2024)

Different writing contexts require different tones and styles. Whether it's a professional report, a persuasive essay, or a creative piece, AI writing tools can assist in adapting the tone and style to match the intended audience and purpose (Musely, 2024). For example, if a non-native speaker is writing a business letter, the tool can help refine the tone to sound more professional and suggest appropriate business phrases (Grammarly, 2024). On the other hand, if the same writer is composing a personal blog post, the tool can assist in adopting a more conversational and engaging style (PublishingState, 2024). By adjusting which tone the student wants the AI to use, the ESL student can write a casual persuasive email to American friends or peers, or he can prompt the AI to write an authoritative formal email for an American boss or put an academic essay for a teacher into third person case for a more professional tone (Harvard University, 2024).Prof. Ho is always telling her students that one way to put their essays into 3rd person case is by using AI. (Ho, 2024)

AI has the potential to significantly transform ESL language learning by offering personalized instruction, real-time feedback, and opportunities for enhanced intercultural communication. Personalized language instruction is one of the key ways AI addresses the varying needs of ESL students. Adaptive learning platforms powered by AI can customize lessons based on a student's proficiency level, learning pace, and specific challenges (Raisspour, 2024). For example, AI tools such as Duolingo or Babbel tailor lessons by assessing a learner's performance and adjusting the difficulty accordingly (Shinde, 2024). This personalized approach ensures that students receive the right level of instruction, preventing frustration from material that is too difficult or too easy, which can hinder progress (Gligorea et al., 2023).. (Ho, 2024)

In addition to personalized instruction, AI can provide real-time feedback that is crucial for improving language skills. AI tools like ChatGPT allow students to receive immediate feedback on their grammar, tone, and structure as they compose sentences (Kim, 2019). For instance, students can ask ChatGPT for suggestions on how to improve a written paragraph or for clarification on grammar rules. This instantaneous feedback enables students to learn from their mistakes in real time, reinforcing correct language use and improving fluency.  AI can analyze written or spoken language, providing corrections that would otherwise require human intervention, ensuring that students continuously improve their skills without delay.

AI-powered interactive chatbots offer valuable conversational practice, which is essential for developing fluency in a second language. These chatbots simulate real-life conversations, helping students practice speaking and writing in English. For example, tools like Replika or HelloTalk allow ESL learners to engage in conversations with AI-powered bots or even with native speakers (Geeky Gadgets, 2023;). These platforms can reinforce language skills by providing instant corrections and suggestions that promote accuracy in speech and writing (Langoly, 2023; Talkpal, 2024). By interacting with these chatbots, students gain confidence and practice language usage in a stress-free environment, which can be particularly helpful for those who may feel anxious about speaking in front of others (Gökçearslan, Tosun, & Erdemir, 2024).AI also plays a key role in enhancing intercultural communication, an essential aspect of ESL learning.

AI-enabled language exchange platforms can connect ESL students with native speakers, providing opportunities for authentic language practice and cultural exchange. Platforms like Tandem or Speaky allow learners to practice English with native speakers from around the world, breaking down language barriers and fostering mutual understanding (Tandem, 2024; Speaky, 2024). These exchanges not only help students improve their language skills but also enhance their cultural awareness by exposing them to different ways of life, communication styles, and social norms (Lingua Learn, 2023). This interaction helps students bridge cultural gaps and build relationships that support their learning journey (Chapman University, 2024).In the classroom setting, AI tools can be integrated to foster cross-cultural understanding among ESL students. Teachers can use AI-powered tools to create simulations or role-playing exercises that mimic real-world interactions. For instance, AI-driven platforms like Google Translate can assist students in overcoming language barriers during group projects or class discussions (Teachfloor, 2024). By providing accurate translations and explanations, these tools allow students from different cultural backgrounds to collaborate effectively and engage in meaningful dialogue (Talkpal, 2024). The use of AI in this context not only helps students improve their language skills but also promotes inclusivity and respect for cultural diversity in the classroom (IDRA, 2024).

AI solutions for ESL language learning are already proving to be highly effective in providing personalized instruction, real-time feedback, and opportunities for intercultural communication. By leveraging the power of AI, ESL students can receive tailored lessons that meet their individual needs, practice language skills in real-time, and connect with native speakers to enhance their cultural understanding. Tools like Duolingo, ChatGPT, Tandem, and Replika are just a few examples of how AI is reshaping the landscape of language learning, offering practical solutions to the challenges faced by ESL learners and promoting greater inclusivity in educational environments (Lessard-Clouston, 2015).

 The Use of Spark, the Virtual Assistant at LAPU

Los Angeles Pacific University (LAPU) is a fully online university that serves a diverse community of learners, including many nontraditional students. As part of LAPU's commitment to "radically student-centered learning," the university recently piloted and launched a new AI course assistant powered by Nectir AI to personalize student learning. (LAPU Website)

LAPU piloted their AI course assistant in general education courses and a Bible course throughout the 2023-24 academic year. The AI course assistant was designed to utilize the Socratic method, supporting students without supplying their work for them. Throughout the pilot, the AI course assistant contributed to significant differences in grade outcomes and motivation to learn, as well as a moderate effect on self-efficacy. (LAPU Website)
After the successful pilot, LAPU's Digital Learning Solutions team prepared the AI course assistant to launch in all courses for the summer 2024 semester. The AI course assistant, named Spark, was trained on materials appropriate for each of the 99 courses offered. In the first semester of full implementation, the average GPA of students who used Spark was 3.27, while those who did not utilize Spark averaged a GPA of 3.04. Notably, Spark's usage also did not spike immediately before an assignment or discussion was due, indicating that students were using Spark for learning support, not attempting to have the AI do the assigned work for them. (LAPU Website)

At LAPU, each LAPU class is outfitted with its own chatbot, virtual teaching assistant called Spark.  Spark AI is trained on each class’ syllabus, textbook, lectures of that class. The ENGL 101 Spark is not the same as the ENGL 105 Spark. Each one is unique to each class. If an ESL student has an elementary knowledge of English, the AI can adapt its English level to the student personalizing the learning experience to the reading, writing and English level of each student.  Spark can help students revise their essay, brainstorm ideas, and explain complex grammar topics.  If an ESL student needs an explanation of a complex topic in Spanish, AI can explain that complex topic in Spanish. ESL students are often afraid to ask the teacher because they may not have enough English to ask the question, the beauty of AI is that it never judges or laughs at a students’ lack of knowledge or a student’s lack of English creating a safe space for ESL students to go to. (LAPU Website)(Ho, 2024)

What’s great about Spark AI is that it is available 24/7. Students can ask Spark in Spanish and ask any questions about how to do an assignment at 3AM in the morning when the LAPU professor is sound asleep. If there is a three day weekend where the school is closed, Spark AI is always open while the LAPU teacher is on vacation. This constant availability of AI helps students keep up with their schoolwork making students gain confidence and establish a feeling of belonging in college as the ESL student speaks in Spanish to AI and the AI speaks back in Spanish. When students understand what is going on in class, they begin to believe that they will actually succeed in class and maybe even be the first person in their family to graduate from college. Right now Spark is text-based, but in the future, Nectir is working on creating a voice-mode version of their chatbot which will allow ESL students to practice listening and speaking English skills. (Ho, 2024)

IV. Ethical Considerations of Using AI for ESL Students in Christian Universities

As AI continues to play a larger role in language education, it is crucial to address the ethical implications of its use. One of the primary concerns is bias and inclusivity. AI systems must be carefully designed to avoid perpetuating linguistic or cultural stereotypes that may disadvantage certain groups of students. This can be achieved by training AI on diverse and representative datasets that reflect global language variations, ensuring that the tools are accessible and effective for students from different cultural and linguistic backgrounds (Pagliara et al., 2024). By doing so, AI can become a more inclusive tool that benefits all students, without reinforcing existing biases (Lin & Chang, 2024).

Data privacy is another significant ethical concern when integrating AI into language learning. Protecting the personal information of students, especially in educational environments, must be done within strict ethical and legal frameworks. This is particularly important in Christian institutions, which are committed to upholding values of integrity, respect, and confidentiality. Institutions must ensure that AI systems comply with data protection regulations and that students' privacy is safeguarded throughout their learning experience (Feretzakis et al., 2024). Clear policies on data collection, storage, and usage are necessary to build trust and maintain ethical standards (King & Meinhardt, 2024).

Finally, it is essential to maintain a balance between technology and human mentorship. While AI can provide valuable support, it should not replace the personal connections that are vital in education. Human mentors offer emotional support, cultural understanding, and individualized guidance that AI cannot replicate. Therefore, AI should be seen as a complement to, rather than a replacement for, human mentorship in the language learning process (Ma & Chen, 2024). Ethical considerations in AI-driven education must also account for the potential impact on teacher-student dynamics (Gligorea et al., 2023).

As AI continues to develop, balancing its capabilities with ethical frameworks is essential for ensuring it supports rather than undermines the educational process. Data privacy, inclusivity, and human connection should remain priorities to maximize AI's potential in language learning while safeguarding students' rights and well-being (Chalkbeat, 2024;).

At LAPU, they have launched a virtual teaching assignment AI tutor called Spark in every LAPU class.  Spark has been trained to be an ‘ethical’ virtual assignment. Part of Spark’s programming is that it is not allowed to do the homework, or in ENGL 101 Introduction to English Composition, Spark will not write the essay for the student. Instead, Spark has been trained to ask students probing questions about essay writing to get the student to write the essay themselves based on what they already know about essay writing.

At LAPU, students have reacted positively to AI, and LAPU students use Spark to help them with idea generation, essay revision, and with understanding complex topics in class. One student talked with Spark for hours. Spark is programmed not to do the assignments for the student. Spark is programmed to ask probing questions about the topic to encourage students to think more profoundly about the topic. As a result of these probing review questions, Spark AI stimulates a student’s critical thinking skills by having a back and forth chat interaction with the student getting the student little by little to write the essay for himself.

Student: “Can you help me with my thesis statement?”

Spark: “What do you know about a thesis statement?”

Student: Prof. H says it’s the main idea of the essay.

Spark: What’s the main idea of your essay?”

Student: I want to write about the benefits of gun control.

Spark: Why do you think gun control is beneficial?

Student: In my country, only the police is allowed to have guns. In my country, school shootings are a rarity. I think if American had more control over who owns guns like in my country, then there would be fewer school shootings and less violence.

Spark coaxes the student little by little to write his own essay by constantly challenging the student to think about what to write for the essay. Spark is programmed not to simply regurgitate an answer like ChatGPT. Students love this interaction with the bot and love talking with it for hours. And they especially love interacting with the bot in Spanish making them feel more comfortable with the class material and class assignments. AI makes the diffuclt assignments more accessible to international students which increases equity for ESL students through using AI.

Another great feature of Spark is that Spark can speak any language. Prof. Ho experimented with Spark by speaking to it in Chinese, and it responded back in Chinese even with Chinese characters that Prof. Ho did not know how to read! Then, Prof. Ho experimented with Spark in French, and she asked Spark a question in French, and it responded back in French. If you have a student who is ESL French, then that French student can converse with Spark in his native language to make him feel right at home in the LAPU class. Similarly, a Spanish speaking student can interact with Spark in Spanish to feel right at home in the LAPU class. For the ENGL 101 weekly grammar quizzes, if a Spanish speaking student does not understand a grammar concept and need that grammar concept explained in Spanish, then Spark can explain that English grammar rule of say for instance ‘subject verb agreement’ into Spanish. However, for now Spark is a text-based virtual assistant, so interactions between Spark and AI are all text-based. In the future, Nectir is working on enabling a Voice Mode feature, though as of this writing, this author has no idea when Nectir will implement voice mode on Spark, however this author will be thrilled when it happens. (Ho, 2024)

 Alignment with Christian Educational Values

AI-driven language learning tools align closely with the core values of Christian education, particularly in fostering compassion and inclusivity. By offering personalized, accessible learning experiences, AI helps support marginalized ESL students who may otherwise face language barriers in their academic journey. These tools can break down the obstacles that prevent equitable access to education, enabling all students to succeed regardless of their background (Lessard-Clouston, 2015). In this way, AI supports the Christian mission of serving others with compassion, ensuring that every student, regardless of language or cultural differences, has the opportunity to thrive .

AI can also be leveraged to align with the principles of faith and service, key aspects of Christian education. By integrating AI tools into language learning, students can receive the academic support they need while growing spiritually. AI systems can be designed to not only aid in language acquisition but also promote Christian values, such as service, empathy, and community engagement. This dual focus ensures that technology serves both academic and personal growth, helping students embody Biblical principles in their daily lives (Cable, as cited in Greater Atlanta Christian School, 2024;).

Stewardship of technology is another critical consideration in Christian education. The responsible integration of AI involves using these tools in ways that honor Christian ethical values and reflect a commitment to societal responsibility. AI should be implemented thoughtfully, ensuring that it serves the greater good, respects human dignity, and adheres to principles of justice and fairness. By applying AI with care and intention, Christian universities can harness its potential to support both academic success and ethical development in students (CCCU, 2024; FaithGPT, 2024).

Methods

Data Collection

This research project will analyze End of Class surveys to evaluate student usage of Spark, an AI tool implemented in classrooms at Los Angeles Pacific University (LAPU). The primary focus is on understanding the adoption of Spark, particularly among LAPU’s predominant student demographic: Hispanic women approximately 29 years of age. Data will be collected across three academic terms—Summer I, Fall I, and Fall II of 2024—to identify trends in AI adoption and its impact on student learning.

The End of Class surveys include both qualitative and quantitative components. Students are asked the following questions to assess Spark usage and its perceived benefits:

  1. Did you use Spark while taking your course?
  2. Did AI help you understand course material?
  3. Are you satisfied with Spark?
  4. Did AI help you answer questions about the coursework and clarify doubts about the coursework?
  5. Did AI enhance your overall learning experience?
  6. How many times did you use AI?

For questions evaluating student satisfaction and learning outcomes, responses are recorded on a Likert scale from 1 to 5, where:

  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Neutral
  • 4 = Agree
  • 5 = Strongly Agree

The scale-based statements include:

  • AI helped me understand course material.
  • I am satisfied with the availability of the AI.
  • AI helped me clarify doubts and questions regarding the coursework.
  • AI enhanced my overall learning experience.

Students are also asked two additional questions:

  • Did you use AI? (Yes or No)
  • How many times did you use AI? with responses categorized into four usage frequency ranges:
    1. 1–2 times
    2. 3–5 times
    3. 6–8 times
    4. 9 or more times

Quantitative Data Analysis

Survey data will be analyzed to determine the percentage of students utilizing Spark and to distinguish between those who used the AI for academic purposes and those who experimented with the tool without sustained engagement. Comparative analysis will be conducted across the three academic terms (Summer I, Fall I, and Fall II 2024) to identify trends in Spark adoption.

In addition to survey data, qualitative data will be collected from Week 8 Forum posts and email responses to evaluate student attitudes toward Spark, with particular emphasis on feedback from ESL students. This will provide insight into both the frequency of AI usage and the perceived impact of Spark on learning outcomes, clarity of coursework, and overall satisfaction.

Hypothesis

The central hypothesis of this study is that Spark usage will increase over time as students become more familiar with the AI tool and its functionalities.

Participants

Participants in this study consist of LAPU students who complete the End of Class surveys at the conclusion of each term. Given that LAPU’s student population predominantly comprises Hispanic women around 29 years of age, the data will be analyzed to assess AI adoption within this demographic.

This mixed-methods approach, combining survey results with qualitative feedback, aims to provide a comprehensive understanding of Spark's role in enhancing learning experiences and student engagement across multiple academic terms.

 Quantitative Data Analysis

Here is a table summarizing the results from the three sections of ENGL 101 regarding the adoption and perception of the AI tool, Spark:

Section

Adoption Rate (%)

Usage Frequency (3-5 times)

Helped Understand Material (%)

Clarified Doubts (%)

Satisfaction (%)

Enhanced Learning (%)

Summer Session I ENGL 101 Section 04

85%

66%

99%

99%

82%

82%

Summer Session I ENGL 101 Section 03

57%

66%

50%

75%

75%

75%

Fall Session I ENGL 101 Section 01

90%

50%

70%

50%

50%

40%

Quantitative Data Key Insights:

  • Adoption Rate: Section 01 (Fall) had the highest adoption rate (90%), while Section 03 (Summer) had the lowest (57%).
  • Usage Frequency: Usage patterns were similar in Sections 04 (Summer) and 03 (Summer), with most students using Spark 3-5 times (66%).
  • Effectiveness: Section 04 students reported the highest effectiveness, with 99% stating that Spark helped them understand the material and clarified doubts. Section 01 students, despite high adoption, reported a much lower satisfaction rate and perceived learning enhancement.
  • Satisfaction & Learning Enhancement: Section 04 had the highest satisfaction and perceived enhancement of learning (82%), while Section 01 had the lowest at 50%.

 The results from different sections of ENGL 101 reveal how students interacted with the AI tool, Spark, and their overall satisfaction with it. While Spark saw increasing adoption as the semester progressed, satisfaction and perceived benefits were not always in line with the higher adoption rates. Section 04 had the highest satisfaction, with most students finding Spark useful in understanding course material and improving their learning. In contrast, Fall Section 01 had the highest adoption rate, but student satisfaction was lower, showing that simply using the tool doesn’t guarantee positive outcomes.

In Section 03, adoption was lower, and reasons for non-use were often linked to students not attending class or completing assignments. Despite this, students who did use Spark generally had positive experiences, with many saying it helped clarify material and answer questions. This shows that even with lower adoption, Spark was still seen as helpful by some students. On the other hand, the increase in adoption in Fall Section 01 did not translate into better satisfaction, indicating that other factors like how the tool was integrated into the course or student engagement were more important for success.

Another interesting trend was the frequency of Spark usage, which remained consistent across sections. Most students reported using Spark 3-5 times per week, suggesting that it was used as a supplementary tool rather than a central resource in their learning. This moderate frequency of use reflects that while students saw value in Spark, they likely preferred to use it in specific situations, such as for clarifying concepts or helping with assignments. It also indicates that students may not fully rely on AI tools, especially if they do not feel that the tool is essential for their learning process.

The differences in how Spark was adopted across the sections highlight the importance of engagement and course design. Section 04 benefited from strong integration of Spark into the course, leading to higher satisfaction, while Fall Section 01 showed that even though more students adopted the tool, the lack of effective integration impacted their experiences. The reasons students gave for not using Spark, including missing class or having negative prior experiences, suggest that past experiences and overall engagement play a significant role in whether or not students embrace new technology effectively.

Qualitative Data Results

Here is a table summarizing the qualitative data from the Week 8 forum comments on student attitudes toward AI tools like ChatGPT and Spark:

·         :

Aspect

Positive Experiences

Negative/Neutral Experiences

Implications for Teaching

General Attitude

70-75% of students reported positive experiences.

25-30% of students had negative or neutral views.

Provide early tutorials or workshops on AI usage.

Benefits of AI Tools

Helped with brainstorming, organizing ideas, overcoming writer's block.

Some students used the tools infrequently due to unfamiliarity or skepticism.

AI tools should be seen as aids to learning, not replacements for original thought.

ChatGPT Specific Benefits

Useful for quick answers, helping with citations, clarifying concepts.

Some skepticism about the accuracy of AI-generated content.

Emphasize AI’s role in brainstorming and clarity, not as a sole source.

Spark Specific Benefits

Valued for aiding in topic selection and idea development.

Some hesitance in integrating AI into academic work.

Encourage the complementary use of Spark for structure and ChatGPT for creativity.

Skepticism & Concerns

-

Concerns about AI accuracy and reliability.

Instructors should guide students to verify AI outputs, particularly for citations and facts.

Combination with Instructor Feedback

Positive impact when combined with constructive feedback.

-

Combine AI tools with instructor feedback to improve confidence and skills.

Key Insights:

-

-

-

  • Positive Use: Most students (70-75%) appreciate AI tools for their ability to assist in the writing process, particularly for brainstorming, idea development, and overcoming challenges like writer’s block.
  • Challenges: Around 25-30% of students were less familiar with the tools, hesitant to use them fully, or skeptical about their accuracy.
  • Teaching Recommendations: To foster more positive attitudes, instructors should offer AI tutorials early on and emphasize how AI tools complement, rather than replace, original thinking. Verifying AI outputs and combining AI assistance with instructor feedback can improve the effectiveness of these tools in the learning process.

To optimize the integration of AI tools like Spark, several strategies can be implemented. First, instructors should provide clear guidance and onboarding sessions at the start of the course to help students understand how to use Spark effectively. This approach can increase adoption rates and improve user satisfaction by boosting students’ confidence in using the tool. Addressing negative perceptions from previous experiences with AI tools is also essential; instructors can highlight Spark’s improvements and relevance to the course content to mitigate reluctance. Encouraging higher course engagement through active participation and assignment completion will further enhance Spark’s effectiveness. Additionally, regularly collecting feedback from students allows for ongoing adjustments and refinements to better meet their needs, ensuring continued success with the tool.

 For ESL students, AI tools like Spark can offer significant benefits in addressing language learning challenges. These tools help clarify course material, answer questions, and provide instant feedback, supporting ESL students in developing reading comprehension, writing skills, and grammar. By offering personalized learning assistance and simplifying complex concepts, Spark can reduce cognitive load and build confidence, especially for students hesitant to ask questions in class. The private, non-judgmental space provided by AI tools allows ESL students to seek clarification without fear, making Spark a valuable resource in enhancing their academic experience and improving their language skills.

Conclusion: Further Research Based on Results and Literature Review

The findings from this analysis provide insights into how ESL students adopt and perceive AI tools like Spark, but they also raise questions that require further research. One key area for future investigation is understanding the conditions under which AI tools are most effective for ESL learners. While students in Summer Session I ENGL 101 Section 04 reported extremely high satisfaction and perceived learning benefits, Fall Session I ENGL 101 Section 01 demonstrated lower satisfaction despite higher adoption rates. Future research could examine how factors such as instructor guidance, AI tool customization, and classroom engagement influence student outcomes.


Student Experiences with AI Tools

The pie chart illustrates student experiences with AI tools and their implications for teaching. A notable portion of students, representing 15%, express a positive general attitude towards AI tools. Conversely, 5% of students have negative or neutral experiences with AI tools.

Moreover, 14% of students have positive experiences with the benefits of AI tools, while 14% have negative or neutral experiences in this regard. A similar pattern is observed with ChatGPT-specific benefits, where 14% of students report positive experiences, and 6% have negative or neutral ones.

The chart also highlights 14% of students who experienced specific benefits from AI tools and 6% who expressed skepticism and concerns. Interestingly, 18% of student experiences involve a combination with instructor feedback.

These findings suggest that AI tools have the potential to be valuable assets in education. However, it is crucial to address the concerns of students who are skeptical about AI and to leverage instructor feedback to maximize the benefits of AI integration.

Further studies could explore how specific AI features address the unique needs of ESL students. For example, research could analyze how AI tools support reading comprehension, writing improvement, vocabulary acquisition, and confidence-building in ESL contexts. Examining user behavior, such as frequency of AI tool usage and the types of questions students ask, could provide deeper insights into how AI tools are being utilized.

Another promising area for research is the long-term impact of AI tools on ESL learning outcomes. While the current study highlights short-term benefits, such as improved understanding of course material, future studies could investigate whether consistent AI use leads to measurable improvements in language proficiency, academic performance, and learner autonomy.

Given the mixed results regarding satisfaction, it is crucial to explore strategies for improving the user experience of AI tools. Research could identify best practices for introducing AI tools in ESL classrooms, addressing barriers to adoption, and tailoring AI features to accommodate diverse learning styles and levels of proficiency.

While the results demonstrate the potential of AI tools like Spark to enhance ESL learning, they also reveal areas for improvement and further exploration. This study, which focused on three semesters—Summer I, Summer II, and Fall I—offers valuable insights but also has limitations. The relatively small sample size and limited timeframe mean that the trends and patterns observed may not be fully representative of broader, long-term AI usage among ESL students. To gain a more accurate understanding of AI's effectiveness, further research is needed across more semesters and with a larger sample of students. This would allow for more robust quantitative and qualitative results, enabling better predictions about the impact of AI tools in ESL contexts. As the study highlights, factors such as instructor guidance, AI tool customization, and student engagement should be explored in future studies to determine their influence on student satisfaction and learning outcomes. By addressing these gaps, future research can contribute to a more comprehensive understanding of how AI can support ESL learners and foster equitable, effective learning environments.

Students 1-3

The qualitative data from the Week 8 Reflective Forum reveals several key themes about student experiences with AI tools, including ChatGPT, Spark, and other resources in an English composition course. Here's a summary:

  1. Positive Impact on Writing:
    • Many students reported significant improvements in their writing confidence and skills throughout the course. They highlighted how the structured approach to learning writing techniques, such as using Venn diagrams, brainstorming, editing, and proofreading, helped them feel more comfortable and effective in crafting essays.
    • Feedback from the professor was appreciated for being constructive and motivating, helping students refine their writing abilities.
    • Several students noted that they started with insecurities about writing but found the class, resources, and feedback to be reassuring.
  2. AI Tools: ChatGPT and Spark:
    • ChatGPT was noted as a valuable resource for brainstorming, clarifying concepts, and overcoming writer's block. Students found it helpful for generating ideas and enhancing their drafts. While some students were initially hesitant to use AI tools, they came to appreciate their role in supporting the writing process. However, some students were cautious about the accuracy and reliability of AI.
    • Spark was widely appreciated for organizing thoughts, brainstorming topics, and formatting papers, especially in APA style. It helped students structure essays more effectively and provided guidance on citations and research. Some students were initially confused by Spark but found it useful once they figured it out.
  3. Class Experience:
    • Students enjoyed the class overall and felt the curriculum was clear, manageable, and not overwhelming. Many appreciated the engaging teaching style and the professor's consistent involvement in student learning.
    • The collaborative environment, which included peer interaction and group discussions, was highlighted as beneficial for deepening understanding and generating ideas.
    • Some students mentioned their initial nervousness about the class, especially since English was their second language, but found the experience less intimidating than expected.
  4. Challenges and Areas for Improvement:
    • While most students found the course helpful, a few mentioned challenges with APA formatting and citations, which they hoped to improve over time.
    • A few students indicated they had not used ChatGPT or Spark frequently but planned to explore them further in the future.

 Students appreciated the learning tools provided, especially ChatGPT and Spark, and felt the course helped them grow as writers. Many expressed excitement about applying what they learned in future writing projects.

Students 5 and 6

It seems like both students had positive experiences with the course! Here's how you could summarize their reflections:


Student 5 expressed initial nervousness, but ultimately found the course enjoyable and informative. They appreciated the helpful techniques for writing, such as using the Venn diagram, brainstorming, and editing. They didn't feel any need for improvement in the class and highlighted that the assignments were well explained. Both ChatGPT and Spark were seen as helpful tools, with Spark especially appreciated for offering various essay topics and ChatGPT praised for its quick and effective responses.

Student 6 was excited about the course and enjoyed engaging in assignments and discussions. They felt that there was no need for any changes to the course, expressing overall satisfaction. Although Spark was initially confusing, they became more comfortable using it and found it to be useful once they figured it out. ChatGPT was a pleasant surprise and enhanced their writing process.


Your overall response is thoughtful and appreciative of their efforts, showing that you recognize their engagement and satisfaction with the course. Would you like help refining any part of your feedback?

Here’s a summary of the feedback from Students 7 through 10:


Student 7 enjoyed the class and appreciated the clear, well-organized curriculum. They found the class to be manageable each week and felt that the instructions were always clear. They also noted the impactful forum posts and praised the interaction with students. While they didn’t use ChatGPT or Spark extensively, they found them helpful when they did. They had no suggestions for improvement and expressed appreciation for your teaching.

Student 8 had a rewarding semester and greatly valued the course’s structured approach, which helped improve their writing skills. They appreciated your engaging teaching style and the collaborative environment you fostered, particularly in class participation. Feedback was highly valued, especially the balance between highlighting strengths and areas for improvement. ChatGPT helped with brainstorming, and Spark was great for organizing thoughts and engaging with peers. They thanked you for being instrumental in their writing development.

Student 9 found the course rewarding, especially the lessons on writing techniques and understanding the reader’s perspective. They felt that feedback was helpful for growth and that the course motivated them to become a better writer. While they didn’t explore ChatGPT yet, they were intrigued by its potential, and they found Spark to be a valuable tool. They thanked you for helping them grow as a writer.

Student 10, although not usually vocal in class, enjoyed engaging with peers in the online format. They found Spark and AI helpful in expanding and broadening their ideas, helping them become better writers. They expressed hope that the skills learned would lead to success in their future writing endeavors.

Student 11 shared that they initially felt nervous about the class but ultimately enjoyed it, especially due to your teaching style and how you broke down difficult tasks like drafting essays and creating outlines. They found ChatGPT helpful for understanding topics, citing sources, and answering basic questions. While they didn’t use Spark often, it was useful when they needed help with their persuasive essay. They appreciated your feedback and the support you provided throughout the course.

Student 12 initially doubted their ability to improve their writing but felt more connected to the course because of your engagement and consistent help. They were impressed by how involved you were compared to professors at their previous college. Your feedback helped them improve their writing, and Spark was useful when they faced difficulties with assignments. They didn’t use ChatGPT much because they had trouble accessing it, but they expressed gratitude for your time and support.

Student 13 found the class valuable for improving their writing skills and appreciated the helpful videos you provided. They were not very familiar with or used ChatGPT or Spark, but they expressed openness to using these tools more in future courses. While they’re not a fan of AI, they acknowledged its potential benefits. They thanked you for your contributions to their learning in the course.

Student 14 initially felt insecure about their writing but gained confidence through the class, especially from the discussions and lessons on writing proper papers. They used Spark occasionally but had concerns about AI accuracy, preferring to rely on it only when necessary. They felt that feedback on their assignments was crucial for improving their writing, specifically in structuring arguments more effectively. They found ChatGPT to be a positive tool for clarifying concepts, brainstorming, and refining drafts, making the writing process feel less daunting.

Student 15 expressed appreciation for the clear and manageable communication structure of the class. They noted that using ChatGPT and Spark, despite initial hesitation, ended up being helpful tools for getting unstuck and deepening their thinking. They admired how the tools provided an extra push during challenging moments.

Student 16 highlighted the LAPU library and Spark as key resources for research and formatting guidance. They shared that their introduction to AI was a major turning point, as it provided new ways to brainstorm, expand vocabulary, and refine writing skills. They expressed excitement about continuing to use AI to enhance their writing. This class also helped them gain confidence in practical writing tasks like formal letters and essays for other classes, laying a strong foundation for future growth as a writer.

Student 17 found Spark particularly helpful for formatting their research paper in APA style. They appreciated its step-by-step instructions and clear examples for setting up the title page, headers, and reference page, as well as accurate citation guidance for both in-text and reference lists.

Student 18 shared that they learned to use several tools and platforms, including ChatGPT, APA formatting and citation generators, assignment templates, Google Docs, Tutor.com, and the Writing Hub. They found these resources valuable in supporting their learning and improving their assignments.

Student 19 appreciated the mention and use of ChatGPT in the course, highlighting its value as a tool for brainstorming and exploring phrasing options. They emphasized the importance of using AI to enhance original ideas rather than relying on it solely. They also congratulated the class for its success this term.

Results

Percentage Breakdown

  • Liked AI: 12/19 students (63%)
    These students explicitly mentioned that they found AI (e.g., ChatGPT, Spark) useful for brainstorming, idea generation, refining drafts, or overcoming writer's block.
  • Disliked AI: 2/19 students (11%)
    These students expressed hesitations or concerns about AI, citing issues like accuracy or a general lack of trust in AI tools.
  • Neutral about AI: 5/19 students (26%)
    These students either didn’t use AI enough to form an opinion, didn’t explore it fully, or had no strong feelings about its benefits or drawbacks.

Reasons Students Used AI

  1. Brainstorming Ideas: Many students used AI to generate ideas, overcome writer’s block, or find creative angles for their writing.
  2. Refining Writing: Some students appreciated how AI could help improve phrasing, expand vocabulary, and clarify concepts.
  3. Citing and Formatting: Students used AI tools like APA generators to help with citations and formatting.
  4. Quick Assistance: AI was often a go-to tool for clarifying questions or providing immediate guidance when stuck.
  5. Learning New Skills: Students appreciated how AI broadened their perspectives and introduced them to new tools for writing.

Reasons Students Did Not Use AI

  1. Lack of Familiarity: Some students didn’t use AI because they were unfamiliar with how to access or use it (e.g., ChatGPT was “hard to find”).
  2. Trust Issues: A few students avoided AI because they felt it might provide inaccurate or unreliable information.
  3. Preference for Traditional Methods: Some students preferred to rely on their own skills or traditional resources like the LAPU library.
  4. Limited Exposure: A few students mentioned they didn’t have enough opportunities to use AI during the course.

Common Themes

  1. Positive Impact on Writing Confidence:
    Students who used AI often reported feeling more confident in their writing, citing improved structure, vocabulary, and clarity.
  2. AI as a Complementary Tool:
    Most students saw AI as a helpful supplement to their own ideas rather than a replacement for creativity or critical thinking.
  3. Hesitation About AI:
    Some students expressed concerns about accuracy or relied on AI sparingly due to trust issues or lack of familiarity.
  4. Value of Instructor Guidance:
    Even among students who used AI, many credited your teaching style and feedback as their primary source of improvement, suggesting they saw AI as an addition rather than the main driver of their progress.
  5. Formatting and Citation Support:
    Students frequently mentioned Spark and APA formatting tools as essential for overcoming challenges with citations and research paper structure.
  6. Room for Exploration:
    Some students noted they didn’t use AI much during the course but expressed interest in exploring its potential in the future.

Here's a pie chart summarizing the students' perspectives on AI from ChatGPT:

  • 63% liked AI, finding it helpful for brainstorming, refining writing, and formatting assistance.
  • 26% were neutral, often because they didn’t use AI enough to form an opinion.
  • 11% disliked AI, citing trust and accuracy concerns.
  • 63% liked AI, finding it helpful for brainstorming, refining writing, and formatting assistance.
  • 26% were neutral, often because they didn’t use AI enough to form an opinion.
  • 11% disliked AI, citing trust and accuracy concerns.

Discussion

The qualitative data gathered from the students' reflections offers valuable insights into their experiences with artificial intelligence (AI) as a learning tool and its integration into the classroom. The majority of students (63%) expressed a positive perception of AI, emphasizing its utility in brainstorming, refining their writing, and aiding with formatting tasks such as citations. Many of these students noted that AI, particularly tools like ChatGPT, provided immediate assistance in areas where they struggled, helping them overcome writer’s block, explore different phrasing options, and improve their confidence in writing. These responses highlight the potential of AI to serve as a complementary resource for enhancing writing skills, especially in an academic context.

Approximately 26% of the students held a neutral stance toward AI. This group largely consisted of individuals who either did not engage with AI tools frequently or lacked sufficient exposure to form a definitive opinion. Their comments suggest that while they recognized the potential benefits of AI, they relied more heavily on traditional resources, such as instructor feedback, peer interactions, or Spark, for their learning.

A small subset of students (11%) expressed a negative view of AI, citing concerns about trust, reliability, and accuracy. These students were cautious about fully embracing AI, pointing out that its outputs are not always dependable and emphasizing their preference for developing their own ideas without excessive reliance on technological tools. This reflects an important limitation of AI, as it still requires users to critically evaluate its suggestions and outputs.

One overarching theme across all responses was the emphasis on the instructor's role as the cornerstone of the learning experience. Regardless of their perspective on AI, students frequently highlighted the value of personalized feedback, structured teaching, and an engaging and supportive environment. This underscores the notion that while AI is a valuable tool, it cannot replace the human connection and expertise provided by a skilled instructor.

Research Results from Gemini AI of the 19 LAPU students about AI:

Students with a Positive Attitude Towards AI:

Given the numerous positive comments and experiences shared by students regarding AI tools like ChatGPT and Spark, it's safe to estimate that around 80-90% of students have a positive attitude towards AI. This is supported by statements like:

·         "ChatGPT was very helpful."

·         "Spark was great, it helped me by searching for my topics."

·         "AI has shown me new ways to brainstorm, expand my vocabulary, and refine my writing skills."

·         "I plan to continue using AI as a resource to enhance my writing in the future."

 Students with a Negative Attitude Towards AI:

Based on the limited number of negative comments and the overall positive sentiment, we can estimate that only around 5-10% of students have a negative attitude towards AI. This is supported by statements such as:

·         "I am not a big fan of AI but I know it has both its good and bad."

·         "I wasn't too sure about using AI because not everything is accurate."

Students with a Neutral Attitude Towards AI:

The remaining percentage of students (around 10-15%) likely fall into the neutral category. These students might have limited experience with AI or haven't formed strong opinions about them.

 Implications for Teaching (ChatGPT AI)

The findings suggest that integrating AI into the classroom can be highly beneficial when paired with clear guidance on its appropriate use. Educators can maximize the potential of AI by emphasizing its role as a supplemental tool for brainstorming, generating ideas, and improving writing skills, rather than as a replacement for critical thinking or original effort. Moreover, addressing student concerns about trust and accuracy through training and examples can help alleviate skepticism and build confidence in using AI tools effectively.

Future research might explore how to better support students who are hesitant or neutral about AI, as well as strategies for integrating AI into various aspects of learning beyond writing. Additionally, the role of instructor feedback in complementing AI use warrants further study, given its pivotal importance in fostering student engagement and learning outcomes.

Conclusion (ChatGPT)

The qualitative data from this study reveals that AI tools like ChatGPT are becoming valuable assets in the academic environment, particularly for enhancing writing skills. The majority of students appreciated AI for its ability to assist with brainstorming, refining ideas, and formatting tasks, enabling them to approach their assignments with greater confidence. However, some students expressed concerns about trust and accuracy, while others remained neutral due to limited exposure to these tools. Despite the varying perspectives, one consistent theme emerged: the role of the instructor remains central to student success. Personalized feedback, structured teaching, and active engagement were universally praised as essential components of the learning experience, demonstrating that AI serves best as a complementary resource rather than a standalone solution.

These findings suggest that integrating AI into the classroom can enhance student learning when accompanied by clear guidance on its use. By addressing concerns about reliability and providing opportunities for hands-on engagement with AI tools, educators can empower students to harness the potential of these technologies effectively. Ultimately, the study highlights the importance of balancing innovative teaching tools with traditional instructional methods to create a well-rounded and supportive learning environment.

Further Research (ChatGPT)

This study raises several questions that warrant further exploration:

  1. Student Hesitation and Neutrality Toward AI: While some students expressed hesitation or neutrality regarding AI use, future research could investigate the underlying causes, such as lack of familiarity, technical barriers, or broader attitudes toward technology. Understanding these factors could inform strategies to better introduce AI tools to hesitant learners.
  2. Long-Term Impact of AI on Writing Skills: A longitudinal study could examine how consistent use of AI tools impacts students' writing abilities over time. Does reliance on AI lead to improved independent writing skills, or does it foster dependency on technology?
  3. AI Integration Across Disciplines: While this study focused on writing, future research could explore how AI tools can support students in other disciplines, such as STEM fields or creative arts. This could provide insights into the versatility of AI in diverse academic contexts.
  4. Instructor Perceptions of AI in Education: Research could also focus on the perspectives of educators, examining their attitudes toward AI, the challenges they face in integrating it into the classroom, and the strategies they employ to balance AI use with traditional instruction.
  5. Ethical Considerations in AI Use: As AI becomes more prevalent in education, further research is needed to address ethical concerns, such as ensuring academic integrity, preventing over-reliance, and promoting equitable access to AI tools.

By addressing these questions, future studies can deepen our understanding of how AI can be effectively and ethically integrated into education, ultimately enhancing teaching and learning outcomes across diverse contexts.

Gemini Discussion and Conclusion

Discussion:

The pie chart reveals a positive outlook on AI among students, with an estimated 85% expressing favorable attitudes. This suggests a readiness to embrace AI tools in education. The high percentage of positive experiences aligns with the increasing use of AI in various fields, indicating a growing acceptance and understanding of its potential benefits. However, the presence of a small but significant neutral and negative group highlights the need for continued efforts to address concerns and ensure responsible AI integration in education.

Practical Applications:

  • Educational Technology Integration: The data supports the integration of AI tools in educational settings, such as using ChatGPT for brainstorming, Spark for research and organization, or other AI-powered platforms for personalized learning.
  • Curriculum Development: Educators can incorporate AI literacy into the curriculum, teaching students about AI's capabilities, limitations, and ethical considerations.
  • Addressing Student Concerns: Recognizing the concerns of the neutral and negative groups, educators can address their apprehensions through open discussions, workshops, and providing clear guidelines for responsible AI use.

Conclusion:

The analysis of student attitudes towards AI reveals a predominantly positive outlook, indicating a promising future for AI integration in education. While challenges and concerns exist, the potential benefits of AI in enhancing learning experiences and improving educational outcomes are significant. Further research and careful implementation are crucial to ensure that AI is used ethically and effectively in education.

Future Research Directions:

  • Qualitative Analysis: Conducting in-depth interviews or focus groups with students to understand their reasons for positive or negative attitudes towards AI.
  • Longitudinal Studies: Tracking student attitudes and experiences with AI over time to assess the impact of AI integration on learning outcomes and overall educational experiences.
  • Ethical Considerations: Investigating the ethical implications of AI use in education, including issues of data privacy, algorithmic bias, and the potential impact on student autonomy.

Note: The analysis and conclusions are based on the estimated percentages derived from the text data. Further research and data collection would be necessary to confirm these findings and draw more definitive conclusions.

ReferReferences

AIContentfy. (2023, November 7). The importance of tone and style in AI writing tools. Retrieved from https://aicontentfy.com/en/blog/importance-of-tone-and-style-in-ai-writing-tools

Cable, P. (2024). Christian education in an AI world. Greater Atlanta Christian School. Retrieved from https://www.greateratlantachristian.org/news/news-detail/~board/school-news/post/christian-education-in-an-ai-world

CCCU. (2024). Navigating AI in Christian higher education. CCCU Magazine. Retrieved from https://www.cccu.org/magazine/navigating-ai-christian-higher-education/

Chalkbeat. (2024). Risks to student privacy and data when teachers use AI platforms. Chalkbeat. Retrieved from https://epic.org/chalkbeat-ai-tools-and-student-data-teachers-can-endanger-kids-privacy-without-robust-training/

Chapman University. (2024). Integrating cultural context in language learning: A comprehensive approach. Retrieved from https://scalar.chapman.edu/scalar/learner/integrating-cultural-context-in-language-learning-a-comprehensive-approach-for-2024

Cleveland State University. (n.d.). The effect of language barrier on students’ academic performance. Retrieved from https://www.csuohio.edu/sites/default/files/60%20The%20effect%20of%20language%20barrier%20on%20students%27%20academic%20performance.pdf

FaithGPT. (2024). Upholding Christian values in AI implementation. FaithGPT. Retrieved from https://www.faithgpt.io/blog/why-christians-should-care-about-artificial-intelligence

Feretzakis, G., Papaspyridis, K., Gkoulalas-Divanis, A., & Verykios, V. S. (2024). Privacy-preserving techniques in generative AI and large language models: A narrative review. Information, 15(11), 697. Retrieved from https://www.mdpi.com/2078-2489/15/11/697

Geeky Gadgets. (2023, September 8). How to learn a new language with AI. Retrieved from https://www.geeky-gadgets.com/how-to-learn-a-new-language-with-ai/

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. Retrieved from https://www.mdpi.com/2227-7102/13/12/1216

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. Retrieved from https://www.mdpi.com/2227-7102/13/12/1216

Gökçearslan, Ş., Tosun, C., & Erdemir, Z. G. (2024). Benefits, challenges, and methods of artificial intelligence (AI) chatbots in education: A systematic literature review. International Journal of Technology in Education, 7(1), 19-39. Retrieved from https://files.eric.ed.gov/fulltext/EJ1415037.pdf

Grammarly. (2024). AI-powered letter writing: A step-by-step guide. Retrieved from https://www.grammarly.com/blog/writing-tips/ai-letter-writing/

Greater Atlanta Christian School. (2024). Academics at GAC. Greater Atlanta Christian School. Retrieved from https://www.greateratlantachristian.org/academics/academics-at-gac

Harvard University. (2024). A list of current AI writing tools. Retrieved from https://writingproject.fas.harvard.edu/sites/hwpi.harvard.edu/files/hwp/files/alistofcurrentaiwritingtoolsthisisnotanexhaustivelist.pdf?m=1691774754

IDRA. (2024, March). AI as a tool for inclusive bilingual education. Retrieved from https://www.idra.org/resource-center/ai-as-a-tool-for-inclusive-bilingual-education/

Kim, N. (2019). Artificial intelligence in English language learning: A systematic review. Computer Assisted Language Learning. Retrieved from https://www.researchgate.net/publication/386222307ArtificialIntelligenceinEnglishLanguageLearningASystematicReviewofAIToolsApplicationsandPedagogicalOutcomes/fulltext/67496176f309a268c0142b85/Artificial-Intelligence-in-English-Language-Learning-A-Systematic-Review-of-AI-Tools-Applications-and-Pedagogical-Outcomes.pdf

King, J., & Meinhardt, C. (2024). Rethinking privacy in the AI era: Policy provocations for a data-centric world. Stanford Institute for Human-Centered Artificial Intelligence. Retrieved from https://hai.stanford.edu/sites/default/files/2024-02/White-Paper-Rethinking-Privacy-AI-Era.pdf

Langoly. (2023, August 3). AI in language learning: Today’s uses, benefits, and concerns. Retrieved from https://www.langoly.com/ai-language-learning/

Lessard-Clouston, M. (2015). ELT and empowerment: Questions, observations, and reflections for Christian educators. International Journal of Christianity and English Language Teaching, 2, 37-53. Retrieved from https://digitalcommons.biola.edu/ijc-elt/vol2/iss1/5/

Li, Y. (2016). Intercultural communication and Chinese international students at American universities. Cardinal Scholar. Retrieved from https://scholarsarchive.byu.edu/etd/5872/

Lin, M. P.-C., & Chang, D. (2024). Exploring inclusivity in AI education: Perceptions and pathways for diverse learners. In Generative Intelligence and Intelligent Tutoring Systems (pp. 237–249). Springer. Retrieved from https://link.springer.com/chapter/10.1007/978-3-031-63031-6_21

Lingua Learn. (2023, August 29). Breaking barriers: Language learning as a tool for cultural exchange. Retrieved from https://lingua-learn.com/breaking-barriers-language-learning-as-a-tool-for-cultural-exchange/

LSE. (2022). Exploring the impact of language barrier on academic performance: A case study of postgraduate international students in the European Institute. Retrieved from https://info.lse.ac.uk/current-students/skills-and-opportunities/assets/documents/Change-makers/research-archive/2022-23/29-Report-Language-Barrier.pdf

Ma, Y., & Chen, M. (2024). AI-empowered applications effects on EFL learners’ engagement in the classroom and academic procrastination. BMC Psychology, 12, 739. Retrieved from https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-024-02248-w

Musely. (2024). AI academic writing tool: Generate professional papers fast. Retrieved from https://musely.ai/tools/academic-writing-generator  

Neville, R. (n.d.). Discussions: How to ensure all your adult ESL students participate. Retrieved from https://rikeneville.com/ensuring-discussion-participation/

OnTESOL. (n.d.). 8 techniques that help ESL teachers foster class participation. Retrieved from https://ontesol.com/blog/how-to-teach-english/classroom-management/techniques-for-fostering-class-participation-in-the-esl-class/

Pagliara, S. M., Bonavolontà, G., Pia, M., Falchi, S., Zurru, A. L., Fenu, G., & Mura, A. (2024). The integration of artificial intelligence in inclusive education: A scoping review. Information, 15(12), 774. Retrieved from https://www.mdpi.com/2078-2489/15/12/774

Pepper Content. (2024). AI tools to improve writing skills of non-native English speakers. Retrieved from https://www.peppercontent.io/blog/empowering-non-native-english-speakers-the-role-of-ai-writing-tools-in-improving-writing-skills/

PublishingState. (2024). 22 useful AI tools for academic writing. Retrieved from [https://publishingstate.com/22-useful-ai-tools-for

Appendices Raw Data

Appendices

LAPU Summer I and II and Fall I 2024 Quantiative Raw Data

Summer I ENGL 101 Section 04 2024

Did you use Spark?  85% Yes 14% No

What is the primary reasons you did not use Spark? I tried it with another class, but it was a disaster.

AI helped me understand Course Material. 99%

I am satisfied with Spark. 82%

AI clarified doubts and answered questions about the class. 99%

AI enhanced my overall learning. 82%

How many times did you use Spark? 66% said 3-5X

Summer I ENGL 101 Section 03

Did you use Spark the AI ?  57% said yes.  42% said no.

What is the primary reason why you did not use Spark? Did not get a chance. Did not attend class. Did not finish all assignments.

Spark helped me understand class materials 50%

I am satisfied with Spark. 50%

Spark answerd questions about class and clarified doubts. 75%

AI enhanced my overall learning. 75%

How many times di you use Spark? 50% said 3-5X

Fall I ENGL 101 01 2024

Did you use  Spark? 90% said yes  10% said No.

AI helped me understand course material. 70%

I am satisfied with Spark. 50%

AI helped me answer questions clarifying doubt. 50%

AI enhanced my learning. 40%

How often did you use AI? 50% said 3-5X

 Qualitative Raw Data

LAPU Summer I and II and Fall I 2024

Qualitative Data about AI from Week 8 Reflective Forum

Student 1: As you explained in your post, I also noticed changes in my writing. Before this class, I wrote emails as if I were texting. Now, I see the difference in the tone and structure of my emails and have even begun to change my text messages. Sometimes, I notice even my thoughts sound different. I am glad I took this class and faced my fears of writing head-on, and with God, I overcame my fears. English is my second language, and writing papers has always intimidated me, but now I can write a well-written paper no matter the subject.

Student 2: Hello Professor Ho. I have tried ChatGPT as it was a requirement in another class I am taking. I have not used it since that assignment, but I can see myself using it in the future or for outside-of-school help. As for Spark, I have not used that tool, but maybe I will in the future. I still have to look at the structure of my essay as far as the flow of it goes. I tend to ramble on when writing essays and sometimes get sidetracked about what I am writing about. I've also noticed in my essays that I can sometimes get repetitive. I proofread it a few times before turning it in. My hope in my future essays is to avoid these habits and improve essay structure and writing with ease. I am still working on APA, specifically citations. When I need to input citations, it sometimes gets confusing. Initially, I did not know exactly what to cite, but now I do. The confusing part was when a tutor explained that sometimes professors want specific citations from certain resources. I hope that in the future, this will all become second nature to me.



Student 3: How did you like this class?

I liked this class it really helped me out.

 

How can this class be improved?

I do not think the class needs to be improved.

 

How did you like using ChatGPT?

I did not use chatGPT.

 

Student 4: How did you like using Spark?

Spark was a big help, he helped me with my writing.

To Professor Ho,

All around, the class was great!
Nothing to be improved at all.
The ChatGpt was good and also Grammarly AI.
Spark was great, it helped me by searching for my topics.

 Student 5:Hello Professor
I was very nervous to take this class, especially because English is not my strong suit. The class was not as scary as I thought it would be, I enjoyed it very much and learned a lot of great techniques that make the writing process a lot less stressful. This class gave me a new perspective, it provided many helpful tips like using the Venn diagram, brain storming, editing and proofreading.

How can this class be improved?
This class does not need improvement. It was very helpful and you did a great job at explaining assignments.

How did you like using ChatGPT?
ChatGPT was very helpful. It gave quick answers and provided solutions and offered great solutions.

How did you like using Spark?
I enjoyed using spark. it provided quick and easy responses, especially when it came to my writing assignment. Spark provided many different topics to chose from for my essays.

Student 6:How did you like this class? 

I enjoyed this class and was extremely excited before this course started. This class was very enjoyable and I found myself eager to complete the assignments or communicate with other students. 
How can this class be improved?

I don't think this class needs any sort of improvement!
How did you like using ChatGPT?

ChatGPT was something I never expected to use when writing or when participating in completing my outlines but I found it to be very enjoyable. 
How did you like using Spark?

Student 6: Spark was somewhat confusing in the beginning but once I figured out how to utilize it properly, I found myself using it more than I expected.

It was pretty evident that you thoroughly enjoyed the class. Your consistent and prompt participation in the weekly discussions was notable. I'm delighted that you found the English course not only beneficial but also enjoyable. I share your sentiment about the course not requiring any improvements; it was already excellent. The interaction, learning style, and provided resources were all top-notch. Similarly, I wouldn't change a thing about this course. I found both ChatGPT and Spark to be impressive tools, each with its own strengths. While ChatGPT was versatile, Spark was explicitly designed to assist with direct subjects. Overall, I truly relished this class and would rate it a perfect 10 out of 10.

Students 7: I really enjoyed this class, your are doing a great job at teaching it. This was the perfect class to start off my college education and you did a great job at creating a very clear curriculum. Not one week of this class felt overwhelming, or had unclear instructions. Your forum posts have been immensely impactful and I appreciate how much you interact with every student. Thank you so much Professor H.
2. I have no recommendations for this class to improve on, keep doing great!
3+4. I did not use chatGPT or Spark too frequently, but when I did it was very helpful. I believe thatit was made very clear how to use it as an appropriate tool.

 Student 8: Dear Professor H,
Thank you for a rewarding semester! I truly enjoyed this class and found it incredibly valuable for my writing development. The structured approach to learning various writing techniques has significantly improved my skills. Your teaching style was engaging, and I appreciated how you encouraged class participation and fostered a collaborative environment. It made the learning experience more interactive and enjoyable. Your feedback was particularly helpful; it was always constructive and insightful. I valued the way you highlighted my strengths while also providing specific areas for improvement, which guided me in refining my writing. This balance made me feel supported and motivated to grow as a writer. Using ChatGPT was a fascinating addition to the course. It allowed me to explore different writing styles and generate ideas, enhancing my creative process. I found it particularly useful for brainstorming and overcoming writer’s block. Spark was a great tool for organizing my thoughts and collaborating with peers. I appreciated how it facilitated group discussions and helped me engage more deeply with the course material. This class has been instrumental in my writing journey, and I’m grateful for your guidance and support. Thank you for a fantastic semester!

 Student 9: I also found it very rewarding to learn about the various writing techniques and how one goes about structuring the paper to fit ones needs, Learning who you are writing about and the reader interacting with your story was very powerful and i found it changes my writing style and how I think when writing. I found this course to be very helpful and I feel that all the feedback was exactly what i needed to here. Our teacher was motivating and engaging to helps us be the best writer we can be. learning about our strengths and weakness in our writing was encouraging to become a better writer. Chat GPT I haven't had a chance to look at yet but it sounds like an amazing tool for us and I should really spend some time exploring and letting the creative juices flow. Spark for me has also been a great tool. Thank you for showing us how to become better writers and helping us grow though the process. I really enjoyed this class and am thankful for all i have learned.

Student 10:  I agree I’m usually not the type of person to speak much within a class. This is my first time doing

classes online, but I did find engaging with my peers was beneficial as well as helpful and genuinely enjoyed interacting with you guys. I also agree that spark was very beneficial as well as AI. It helped me expand my thoughts as well as Broaden my ideas, And I hope that it has helped as both become better writers in the future to become successful in what we’re trying to achieve within English,

Student 11:Good evening, I enjoyed English 101. In the beginning, I was terrified, and I didn’t know what to expect. I almost wanted to give up by week two. But I liked your teaching style and how much knowledge and information you provided. It felt like you understood our struggles and wanted to make the learning process as smooth and successful as possible. I appreciated how you broke down so many things for us, especially when drafting essays and creating outlines. Your feedback was excellent and helpful. I also found using ChatGPT helpful when I couldn’t understand specific topics or needed quick answers to basic questions. ChatGPT taught me how to cite, along with other resources. I didn’t use Spark often, but when I did, it helped me gather ideas for my persuasive essay.

 Student 12: Hello professor I really enjoyed taking this class. When I first started this class, I felt like I wasn’t going to be able to make a good connection or improve my writing. But of how you taught us it made me really enjoy taking this class. I feel like I really loved your teaching, even though this class was online feel like I had a good connection with you because you were always there to help whenever I needed it. I really like how engaged you are with us because the previous college I was attending. I feel like the professors don’t really engage as much with the students. I feel like your feedback was something I learned a lot from. I was able to take that feedback and improve my writing. I didn’t use ChatGPT only because it was hard for me to find it so I didn’t really get a chance to have an opinion on that. I used spark a handful of times in this class and I really enjoyed using it. I feel like it helped me a lot when I was having a hard time with my assignments. I want to thank you for your time and engagement you had with us. I really appreciate it. 

Student 13: Hi Professor H. I just wanted to say this class was amazing, it truly was a big help when coming to improving my writing. Your teaching was great and I truly enjoyed all of the videos you had provided for us throughout these past 8 weeks. I highly appreciated your feedback when it came to grading assignments. I did not use ChatGPT or Spark so much but I am hoping that during my journey I will be able to incorporate it more within my courses. I am not a big fan of AI but I know it has both its good and bad. Thank you for all you did in this course for us!

 Student 14: I really enjoyed this class. I feel like I really learned a lot, especially improving my writing. When starting this class I was very insecure about my writing but getting to do the discussions and learning about how to write a proper paper really helped me feel more confident in my writing. I didn’t really use spark in this course. I wasn't too sure about using AI because not everything is accurate, but I did use spark when I needed more help in my assignments. I really feel like getting feedback on my assignments was very beneficial to me because I was able to fix my writing when I needed to. It also helped me to reach out to my classmates. That’s great you were able to improve your writing achieving clarity and conciseness. Being able to improve the structuring of arguments more effectively is a big key for having a successful essay and improving that area to keep the reader engaged is very beneficial. 

 

Using ChatGPT as a learning tool was a positive experience as well. It served as a quick resource for clarifying concepts, brainstorming ideas, and refining my drafts. Having access to an AI tool like ChatGPT made the writing process feel less daunting and provided immediate assistance when I needed it most.

Lastly, I enjoyed using Spark to organize my thoughts and collaborate with classmates. The platform’s features made it easy to share ideas and receive feedback, enhancing the overall learning experience. Overall, this class has been instrumental in my growth as a writer, and I look forward to applying what I’ve learned in future writing endeavors. Thank you for a fantastic course!

Student 15: It's so great to hear that this English course has been such a positive experience for you, especially online class. Feeling confident to tackle the next level is a huge accomplishment. Our instructor really nailed the communication structure, making everything clear and manageable. I totally get the hesitation with using ChatGPT and Spark, but it is awesome that they ended up being helpful. It's amazing how they can give that extra push when you are feeling stuck and help deepen your thinking.

 Fall 2

Student 16: Personally, the LAPU library and Spark were helpful for research and formatting guidance A major turning point has been my introduction to artificial intelligence. Before this class, I had never used AI as a tool for generating ideas or seeking tutoring assistance. I am amazed by the options it provides for learning and improving. AI has shown me new ways to brainstorm, expand my vocabulary, and refine my writing skills. I love how easy it is to use and the assistance it offers. I plan to continue using AI as a resource to enhance my writing in the future.
This class has also given me valuable practical skills. I now feel more confident writing formal letters to my boss and essays for other classes. These skills have built a solid foundation for me to continue growing as a writer and learner.
Overall, I would say this class has helped me improve my writing, expand my vocabulary, and gain confidence. It has also broadened my perspective on the resources available to support my growth. I am definitely excited to keep applying these tools and strategies to further develop my abilities.

 Student 17: Hi Professor, Spark was helpful in formatting my research paper because it provided clear, step by step instructions for properly setting up my paper in APA format. It guided me on how to format the title page, headers, and reference page, which I often found challenging. The examples in Spark showed me exactly how to cite sources correctly, both in text and in reference list, which made my citations more accurate.

 Student 18) What AI skills did you learn?

 I have learned the AI using ChatGP, APA formatting mand APA citation generator, the use of templates for your assignments, Google docs, Tutor.com, and the Writing  Hub .

6. Did you use Spark? If so how?

 Student 19: Mentioning ChatGPT was appreciated; it's a helpful tool for brainstorming, along with exploring different phrasing options, but, as you mentioned, using it to improve your own original ideas is important.
This term's success deserves your congratulations!

·         What resources were particularly helpful for you? 

I utilized the LAPU library as well as the librarians a lot. I also found myself using ChatGPT for ideas on how to better phrase things in a specific tone but still using my own words and verbiage when it came to the actual paper. I also appreciated all of the professor provided resources and used the class required book for help with formatting. 

 

Post 517: AI's Role in Equitable Access To Education at Christian Universities

  AI’s Role in Equitable Access to Education at Christian Universities by Yvonne Ho Summary: This article explores how artificial inte...