Implementation of Artificial Intelligence (AI): Chat GPT for Effective English Language Learning among Thai Students in Higher Education

Saifon Songsiengchai

Abstract


The study aimed to (i) explore the effectiveness of Artificial Intelligence (AI) models like Chat GPT to facilitate English language learning among Thai students in Higher education and (ii) compare the English Language Learning effectiveness among Thai Students after implementing artificial intelligence (AI) like Chat GPT to facilitate English language learning. The participants were Thai students aged 19-20 from first-year pre-service teachers in Bangkok. A total of 120 students participated, 60 in the control and 60 in the experimental group. The selection of participants was done through stratified random sampling to ensure a diverse representation of pre-service teachers with varying levels of English proficiency. We utilized a mixed-methods approach that combined qualitative and quantitative data: Standardized English tests, Chat GPT, focus group interviews, and field notes. The research instruments were (i) Standardized English Tests, (ii) Chat GPT, (iii) Focus Group interview questions, and (iv) Field Notes Form. The research findings strongly advocated integrating AI tools like Chat GPT in educational settings to facilitate more effective language learning. The study demonstrates that students who interacted with AI improved their language skills. A paired sample t-test revealed that this difference between control and experimental groups was statistically significant (p < .001). Feedback from the focus group interviews indicated that students in the experimental group. After implementing artificial intelligence (AI) like Chat GPT, the AI-based learning experience increased engagement, personalization, real-time feedback, attitude change, and learning motivation. They reported that the real-time feedback and interactive exercises offered by Chat GPT helped them understand and apply language concepts more effectively. Lastly, the attitude changes because the students had high motivation, strong self-confidence, and a positive attitude shift.

Keywords


Artificial Intelligence, English Language Learning, Chat GPT, Thai Students, Higher Education

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References


Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. Q. (2023). Impact of ChatGPT on Learning Motivation: Journal of English Studies in Arabia Felix, 2(1), 41–49. https://doi.org/10.56540/jesaf.v2i1.51

Asher, J. J. (1969). The Total Physical Response Approach to Second Language Learning. The Modern Language Journal, 53(1), 3–17.

Balaji, V., & Chakravarthy, V. (2019). Artificial Intelligence in Education, Cases of AI Applications in Higher Education. Procedia Computer Science, 165, 220-229.

Berlitz, M. D., & Haupth, R. (1946). The Berlitz Method for Teaching Modern Languages. Frederick A. Stokes Company.

Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745

Brown, J., & Green, T. (2017). The Efficacy of Vocabulary Learning Apps. Journal of Educational Technology, 48(2), 12–18.

Chung, M., Lee, S., & Park, J. (2023). Artificial Intelligence in Language Education: A Systematic Review. Language Learning & Technology, 27(2), 10-28.

Davis, M. (2016). Grammar Learning in the Digital Age. Journal of Language Teaching, 55(3), 45–52.

Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. B. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615-622. https://doi.org/10.5114/biolsport.2023.125623

Education Next. (2023). AI in Education. https://www.educationnext.org/a-i-in-education-leap-into-new-era- machine-intelligence-carries-risks-challenges-promises

Guo, K., Wang, J., & Chu, S. K. W. (2022). Using chatbots to scaffold EFL students’ argumentative writing. Assessing Writing, 54, 100666. https://doi.org/10.1016/j.asw.2022.100666

Ideal Asarsh. (2023). AI vs. Traditional Education: The Battle for the Classroom of the Future. https://idealadarsh.com/ai-vs-traditional-education-the-battle-for-the-classroom-of-the-future

Johnson, L., & Lee, M. (2020). The Role of Technology in Language Learning. Journal of Applied Linguistics, 62(4), 21–34.

Kim, J., & Park, H. (2021). Conversational Agents in Language Learning. Journal of Computer-Assisted Learning, 37(1), 5-15.

Krish Blog, (2024). How to Transcribe a Focus Group Discussion with AI. https://krisp.ai/blog/how- to-transcribe-a-focus-group

Lado, R. (1964). Language Teaching: A Scientific Approach. McGraw-Hill Education.

Lee, M., & Kim, J. (2020). AI in Education: A Review. Journal of Educational Technology, 49(1), 28-37.

Li, X., & Wang, Y. (2022). A Framework for Integrating AI into Language Learning Curricula. Computer Assisted Language Learning, 35(3), 456-475.

Littlewood, W. T. (2014). Communication-Oriented Language Teaching: Where Are We Now? The European Journal of Applied Linguistics and TEFL, 3(1), 3–25.

Martin, J., & White, P. (2019). Reading Comprehension and Technology. Journal of Literacy Research, 51(2), 204-220.

McDiarmid, G. W., & Zhao, Y. (2023). Time to Rethink: Educating for a Technology-Transformed World. ECNU Review of Education, 6(2), 189-214. https://doi.org/10.1177/20965311221076493

Moreno, E., & Kim, J. (2023). Neural Correlates of AI-Assisted Language Learning: An fMRI Study. Neurolinguistics, 65, 101074.

Nwankwo, C. (2024a). Top 5 AI Tools For Focus Group Research in 2024. https://insight7.io/top-5-ai-tools-for-focus-group-research

Nwankwo, C. (2024b). Focus Group Discussion Analysis: Comprehensive Process & AI Tools. https://insight7.io/focus-group-discussion-analysis-process-and-ai-tools

Patel, A., & Nguyen, T. (2023). AI Writing Assistants in Second Language Composition: Scaffolding Tool or Crutch? Journal of Second Language Writing, 59, 100908.

Richards, J. C., & Rodgers, T. S. (2014). Approaches and Methods in Language Teaching. Cambridge University Press.

Roberts, L., & Jones, D. (2019). Personalized Learning: A Comprehensive Approach. Journal of Educational Psychology, 111(4), 719-735.

Rovai, A. P., Baker, J. D., & Ponton, M. K. (2020). Digital divide and educational equity: A multilevel analysis of the relationship between socioeconomic status and the accessibility of educational technology. Computers & Education, 144, 103693.

Shaikh, S., Yayilgan, S. Y., Klimova, B., & Pikhart, M. (2023). Assessing the Usability of ChatGPT for Formal English Language Learning. Eur. J. Investig. Health Psychol. Educ., 13, 1937–1960. https://doi.org/10.3390/ejihpe13090140

Smith, J., & Davis, M. (2021). The Role of Feedback in Language Learning. Journal of Applied Linguistics, 63(1), 6-19.

Smith, J., & Johnson, L. (2015). Statistical Methods in Language Research. Journal of Applied Linguistics, 57(2), 39–54.

Suleman, Q., Mughal, U., & Rehman, R. (2019). Gamified mobile applications for language learning: A systematic review. Journal of Educational Computing Research, 57(5), 1250-1277.

Takacs, J. & Tolner, N. & Pogatsnik, M. (2023). University teachers’ perceptions of AI integration: Insights from a qualitative focus group study. Opus et Educatio. 10. 10.3311/ope.553.

Thomas, G., et al. (2017). Student Engagement and Blended Learning. Journal of Educational Research, 110(5), 446-459.

Trocki, A. (2024). Student-Reported Benefits and Tensions about Generative AI in Academics: Part 2. https://www.centerforengagedlearning.org/student-reported-benefits-and-tensions-about-generative-ai-in-academics-part-2

Yadav, S., Kaushik, A., & Sharma, S. (2022). Simplify the difficult: artificial intelligence and cloud computing in healthcare. In IoT and Cloud Computing for Societal Good (pp. 101-124). Springer, Cham. https://doi.org/10.1007/978-3-030-73885-3_7

Wang, Y., & Chen, N. S. (2018). Personalized English learning using a mobile learning system with AI techniques. Computers & Education, 118, 207-227.

Williams, J. (2018). Statistical Methods in Language Learning Research. Journal of Language Teaching, 56 (1), 12–25.

Williams, J., & Clark, L. (2018). AI and Personalized Learning. Journal of Educational Technology, 47(3), 35-49.

Zhang, L., Chen, H., & Liu, R. (2024). AI-Driven Gamification in Language Learning Apps: Impact on Learner Motivation and Engagement. ReCALL, 36(1), 78-95.

Zhou, L., & Li, J. J. (2023). The Impact of ChatGPT on Learning Motivation: A Study Based on Self-Determination Theory. Educ. Sci. Manag., 1(1), 19-29. https://doi.org/10.56578/esm010103




DOI: https://doi.org/10.7575/aiac.ijels.v.13n.1p.302

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