A Bleeding Edge or a Cutting Edge? A Systematic Review of ChatGPT and English as a Second and/or Foreign Language Learners’ Writing Abilities (71802)

Session Information: Artificial Intelligence
Session Chair: Jasmin Cowin

Monday, 13 November 2023 13:15
Session: Session 3
Room: Room A (Live Stream)
Presentation Type: Live-Stream Presentation

All presentation times are UTC + 7 (Asia/Bangkok)

This systematic review, adhering to PRISMA guidelines (Page et al., 2021), examines the educational implications of ChatGPT, an AI language model by OpenAI, on English as a Second/Foreign Language (ESL/EFL) learners. Relying on data from academic databases like Scopus and Web of Science, the review integrates both statistical techniques and qualitative content analysis to assess the model's multi-faceted impact. While ChatGPT offers benefits such as rapid grammar checking and word suggestions, empirical evidence suggests it may discourage the development of critical skills, such as reasoning and structure, that are crucial for academic writing. The paper delves into ChatGPT's role in potentially diminishing capacities for organization, cohesion, and grammar, thereby presenting a complex picture of its impact on ESL/EFL education. Additionally, the review illuminates alternative pedagogical strategies, such as peer review, teacher-student conferences, and scaffolding, that can foster independent writing skills among ESL/EFL learners. The review concludes by advocating for future research that explores adaptive curricular and pedagogical strategies, emphasizing the need for a balanced approach that includes not only initial writing but also draft improvement and editing. This work thus serves as a comprehensive guide for educators and policymakers to understand the nuanced impacts of ChatGPT and adjust educational practices accordingly.


Abstract Summary
This systematic review examines the educational implications of ChatGPT, an AI language model by OpenAI, on English as a Second/Foreign Language (ESL/EFL) learners. Relying on data from academic databases like Scopus and Web of Science, the review integrates both statistical techniques and qualitative content analysis to assess the model's multi-faceted impact.

Authors:
Hala Fawzi, University of Bahrain, Bahrain


About the Presenter(s)
Dr Hala Fawzi is a University Assistant Professor/Lecturer at University of Bahrain in Bahrain

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