Cited by 89Artificial Intelligence in EducationEnglish Language Learning and TeachingEFL/ESL Teaching and Learning

Enhancing English as a foreign language (EFL) learners' writing with ChatGPT: a university-level course design

Open access
Tseng, Yu-Ching, Lin, Yi-Hsuan·2024·Electronic Journal of e-Learning

Abstract

This research explores the innovative integration of OpenAI’s GPT-3.5 within a university-level English as a Foreign Language (EFL) writing course, illustrating a novel approach to academic instruction. The course follows the ADDIE instructional design model, encompassing five systematic stages: analysis, design, development, implementation, and evaluation. This model serves as the backbone of the course structure, ensuring a comprehensive educational experience. The incorporation of the Technological Pedagogical Content Knowledge (TPACK) framework in this course facilitates the effective integration of GPT-3.5 by enabling instructors to align advanced AI capabilities with appropriate pedagogical strategies, thereby enhancing the learning experience. TPACK guides educators in applying GPT-3.5’s features in a manner that is contextually relevant and pedagogically sound, ensuring the technology’s use complements the course content. The findings from this research are significant. They reveal that GPT-3.5 addresses three fundamental challenges often encountered in academic writing courses. Firstly, it enhances efficiency by providing immediate feedback and generating content ideas, accelerating the writing process. Secondly, GPT-3.5 ensures cohesive organization within students’ writing, guiding them to structure their thoughts more logically. Lastly, it serves as a reliable substitute for traditional peer reviewers, offering critical and objective feedback that students can use to refine their drafts. As students engage with AI, they enter a dynamic partnership. This collaboration with GPT-3.5 fosters critical thinking and empowers students to develop a distinctive writing voice. Through this interaction, students are not merely passive recipients of knowledge but active participants in a learning process that is augmented by cutting-edge technology. This study not only provides insight into the potential of AI-augmented academic writing but also highlights GPT-3.5’s role in promoting writing proficiency. It demonstrates that the application of AI in education can enhance the learning experience without compromising the individuality of student expression.

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  • Emerging frameworks emphasize process-oriented assessment that documents iterative revision, reflective decision-making, and AI integration strategies rather than solely evaluating final products.

    “Emerging frameworks emphasize process-oriented assessment that documents iterative revision, reflective decision-making, and AI integration strategies rather than solely evaluating final products (Engeness and Gamlem, 2025; Tseng and Lin, 2024; Wang, 2024).”

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Research works printed but not linked: 7

  1. Aldoobie, N., 2015. ADDIE model. American International Journal of Contemporary Research, 5(6), pp.68-72.
  2. Koehler, M.J., and Mishra, P., 2008. Introducing TPCK. In AACTE Committee on Innovation and Technology, ed. The handbook of technological pedagogical content knowledge (TPCK) for educators. Mahwah, NJ: Lawrence Erlbaum Associates. pp.3-29.
  3. Li, L., Liu, X and Steckelberg, A., 2010. Assessor or assessee: how student learning improves giving and receiving feedback. British Journal of Educational Technology, 41(3), pp.525-36.
  4. Schmidt, D.A., Baran, E., Thompson, A.D., Mishra, P., Koehler, M.J., and Shin, M.J., 2009. Technological pedagogical content knowledge (TPACK): the development and validation of an assessment instrument for pre-service teachers. Journal of Research on Technology in Education, 42(2), pp.123-49.
  5. Sogutlu, E., and Veliaj-Ostrosi, M., 2022. EEL learners' challenges in essay writing: the case of a non-public high school in Albania. Journal of Positive School Psychology, 6(4), pp.3958-81.
  6. Zhang, W., and Cai, W., 2019. Research on English writing feedback based on online automatic evaluation and reform. Education Research, 2019(3), pp.102-103.
  7. Zhang, Z.V., and Hyland, K., 2022. Fostering student engagement with feedback: an integrated approach. Assessing Writing, 51, 100586. https://doi.org/10.1016/j.asw.2021.10058. · DOI

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Authors
Tseng, Y.-C., & Lin, Y.-H.
Affiliations
  • Tamkang University (TW)
  • Chinese Culture University (TW)
Venue
Electronic Journal of e-Learning
Published
2024-04-12
Volume
22
Issue
2
Pages
78-97
ISSN
1479-4403 (ISSN-L)
OpenAlex
W4394742400
Cited by
88
References
40
Citations by year
2026: 34 · 2025: 44 · 2024: 10
FWCI
33.19
Type
journal article
Language
en
Open access
Locations
  • The Electronic Journal of e-Learning (publishedVersion, cc-by-nc-nd)
  • Chinese Culture University Repository (submittedVersion)
  • Tamkang University Institutional Repository (TKUIR) (submittedVersion)
Funders
Ministry of Education, India
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
Keywords
ChatGPT, GPT-3.5, EFL writing, academic writing instruction, AI-assisted writing, ADDIE instructional design, TPACK, peer review, writing feedback, writing skills, voice in writing, critical thinking, artificial intelligence in education

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