Proceedings of the 20th International Conference of the Asia Association of Computer-Assisted Language Learning (AsiaCALL 2023)

<Previous Article In Volume
Next Article In Volume>

Exploring The Relationship Between ChatGPT and Task-based Approach: Opportunities and Challenges

Authors
Tran Tuyen1, Nguyen Dinh Nhu Ha1, 3, *, Nguyen Loc1, Le Thi Thuy Trang2
1Institute of Technical Education, HCMC University of Education and Technology, Ho Chi Minh City, Vietnam
2Faculty of Special Training, HCMC Open University, Ho Chi Minh City, Vietnam
3Faculty of Foreign Languages and Technical Education, Nong Lam University, Ho Chi Minh City, Vietnam
*Corresponding author. Email: handn.ncs@hcmute.edu.vn
Corresponding Author
Nguyen Dinh Nhu Ha
Available Online 27 May 2024.
DOI
10.2991/978-94-6463-396-2_3How to use a DOI?
Keywords
ChatGPT; Task-based approach; Opportunities; Challenges
ABSTRACT

The appearance of ChatGPT brings many benefits to teaching and learning English. ChatGPT is an artificial intelligence Chatbot developed by OpenAI which can operate as human-like text. In this paper, we aim to explore the relationship between ChatGPT and task-based approach (TBA) in terms of opportunities and challenges. We provide the overview of ChatGPT, task-based approach, and the importance of ChatGPT to the education system. We then address the relationship between ChatGPT and TBA, and obstacles associated with this relationship. For example, ChatGPT can help teachers exploit the framework of task-based approach in detail by specific activities in each phase. However, using ChatGPT can also have negative effects such as making up improper contents, and losing the nature of learning tasks. Finally, some recommendations are made to contribute to the future research on ChatGPT in language learning such as the pedagogical implications of ChatGPT in the language classroom.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 20th International Conference of the Asia Association of Computer-Assisted Language Learning (AsiaCALL 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 May 2024
ISBN
978-94-6463-396-2
ISSN
2667-128X
DOI
10.2991/978-94-6463-396-2_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tran Tuyen
AU  - Nguyen Dinh Nhu Ha
AU  - Nguyen Loc
AU  - Le Thi Thuy Trang
PY  - 2024
DA  - 2024/05/27
TI  - Exploring The Relationship Between ChatGPT and Task-based Approach: Opportunities and Challenges
BT  - Proceedings of the 20th International Conference of the Asia Association of Computer-Assisted Language Learning (AsiaCALL 2023)
PB  - Atlantis Press
SP  - 22
EP  - 36
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-396-2_3
DO  - 10.2991/978-94-6463-396-2_3
ID  - Tuyen2024
ER  -