Design Principles for Applying ChatGPT to Enhance B1-level English Listening Skill in Thai Higher Education: A Conceptual and Practice-Informed Article
Keywords:
Common European Framework of Reference for Languages – Level B1 listening, Second Language Acquisition, Three-phase Listening, ChatGPTAbstract
This conceptual and practice-informed article synthesizes design principles for applying ChatGPT to enhance B1-level English listening in Thai higher education. It draws on a review of relevant literature alongside practice examples from the author’s lesson preparation (not a full empirical field study). The conceptual framework is grounded in English as a Foreign Language (EFL) and Second Language Acquisition (SLA) and aligns with the Common European Framework of Reference for Languages – Level B1 (CEFR-B1) descriptor, which targets learners who “understand the main points of clear standard speech on familiar matters and follow audio/video input when delivery is relatively slow and clear.” Listening work is organized into three phases—pre-listening, while-listening, and post-listening—and ChatGPT is used to generate dialogues, tasks, and exercises that fit learners’ levels and interests. These practice illustrations suggest that ChatGPT may support personalized, interactive, and adaptive learning, while several cautions remain, including content accuracy, and risks of over-reliance on technology. Accordingly, the article offers design proposals that warrant further empirical validation in subsequent research.
References
กมล เกตุรัตนสมบูรณ์, สุนีย์ ลิ่มพงศ์พันธุ์, และ ศิรดา คล้ายโพธิ์. (2566). การพัฒนาทักษะการฟังภาษาอังกฤษโดยใช้แอปพลิเคชัน Echo English ของนักเรียนระดับชั้นมัธยมศึกษาตอนปลาย. วารสารวิจัยและพัฒนาสถาบันราชภัฏสุราษฎร์ธานี. 20(1), 45–58.
รติมา บุษย์ศรีเจริญ. (2565). การพัฒนาผลสัมฤทธิ์ทางการเรียนไวยากรณ์ภาษาอังกฤษโดยใช้แบบฝึกไวยากรณ์ร่วมกับการจัดการเรียนรู้ตามรูปแบบ MACRO Model ของนักเรียนชั้นมัธยมศึกษาปีที่ 2 โรงเรียนทุ่งโพธิ์ทะเลพิทยา (วิทยานิพนธ์ปริญญามหาบัณฑิต). มหาวิทยาลัยนเรศวร. สืบค้นเมื่อ 15 พฤษภาคม 2568. จาก http://nuir.lib.nu.ac.th/dspace/handle/123456789/5541
Anderson, A., & Lynch, T. (1988). Listening. Oxford University Press.
Bekou, A., Ben Mhamed, M., & Assissou, K. (2024). Exploring opportunities and challenges of using ChatGPT in English language teaching (ELT) in Morocco. Focus on ELT Journal. 6(1), 87–106.
Brown, H. D. (2007). Principles of language learning and teaching (5th ed.). Pearson Education.
Council of Europe. (2020). Common European Framework of Reference for Languages: Learning, Teaching, Assessment — Companion Volume. Council of Europe Publishing.
Field, J. (2008). Listening in the language classroom. Cambridge University Press.
Klímová, B., & Ibna Seraj, P. M. (2023). The use of chatbots in university EFL settings: Research trends and pedagogical implications. Frontiers in Psychology. 14, Article 1131506. https://doi.org/10.3389/fpsyg.2023.1131506
Kostka, I., & Toncelli, R. (2023). Exploring applications of ChatGPT to English language teaching: Opportunities, challenges, and recommendations. TESL-EJ. 27(3), 1-19.
Krashen, S. D. (1982). Principles and practice in second language acquisition. Pergamon Press.
Krashen, S. D. (1985). The input hypothesis: Issues and implications. Longman.
Long, M. H. (1981). Input, interaction, and second language acquisition. Annals of the New York Academy of Sciences. 379(1), 259–278.
Long, M. H. (1996). The role of the linguistic environment in second language acquisition. In W. C. Ritchie & T. K. Bhatia (Eds.), Handbook of second language acquisition (pp. 413–468). Academic Press.
Luu, T. T., & Doan, H. T. (2025). ChatGPT-enhanced listening: A study on Vietnamese EFL university students’ listening skills improvement. Asian Journal of Applied Linguistics and AI in Education. 7(2), 88–105.
Movva, S., Alapati, P. R., Veliventi, P., & M. G. (2022). The effect of pre-, while-, and post-listening activities on developing EFL students’ listening skills. Theory and Practice in Language Studies, 12(8), 1500–1507.
Nation, I. S. P., & Newton, J. (2009). Teaching ESL/EFL listening and speaking. Routledge.
Prasetya, R. E., & Syarif, A. (2023). ChatGPT as a tool for language development: Investigating its impact on proficiency and self-evaluation accuracy in Indonesian higher education. VELES: Journal of Teaching & Learning Studies. 7(3), 402–415.
Rattanasak, N. (2025). A study of Thai EFL learners’ difficulties in understanding connected speech. Journal of English Language and Linguistics. 13(1), 77–91.
Rivers, W. M. (1981). Teaching foreign-language skills (2nd ed.). University of Chicago Press.
Slamet, J. (2024). Potential of ChatGPT as a digital language learning assistant: EFL teachers’ and students’ perceptions. Discover Artificial Intelligence. 4 (1), Article 46. https://doi.org/10.1007/s44163-024-00143-2
Swain, M. (1985). Communicative competence: Some roles of comprehensible input and comprehensible output in its development. In S. Gass & C. Madden (Eds.), Input in Second Language Acquisition. (pp. 235–253). Rowley, MA: Newbury House.
Van Horn, K. R. (2024). ChatGPT in English language learning: Exploring perceptions and promoting autonomy in a university EFL context. TESL-EJ. 28(1). 1–26.
Vandergrift, L. (1999). Facilitating second language listening comprehension: Acquiring successful strategies. ELT Journal. 53(3), 168–176.
Vandergrift, L., & Goh, C. M. (2012). Teaching and learning second language listening: Metacognition inaction. Routledge.
Vo, A., & Nguyen, H. (2024). Generative artificial intelligence and ChatGPT in language learning: EFL students’ perceptions of technology acceptance. Journal of University Teaching and Learning Practice. 21(6). Article 811. https://doi.org/10.53761/fr1rkj58
Xiao, Y., & Zhi, Y. (2023). An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experience and perceptions. Languages. 8(3), Article 212. https://doi.org/10.3390/languages8030212
Young, J. C., & Shishido, M. (2023). Investigating OpenAI’s ChatGPT potentials in generating chatbot's dialogue for English as a foreign language learning. International Journal of Advanced Computer Science and Applications. 14(6), 65–73.