Issue |
E3S Web Conf.
Volume 440, 2023
International Conference on Environment and Smart Society (ICEnSO 2023)
|
|
---|---|---|
Article Number | 05001 | |
Number of page(s) | 18 | |
Section | Smart Education University Learning Environment | |
DOI | https://doi.org/10.1051/e3sconf/202344005001 | |
Published online | 01 November 2023 |
Aligning Theory and Practice: Leveraging Chat GPT for Effective English Language Teaching and Learning
1 English Language Education Department, Language Education Faculty, Jl. Brawijaya, Tamantirto, Kasihan, Bantul, Yogyakarta, Indonesia 55188
2 English Language Education Department, Language Education Faculty, Jl. Brawijaya, Tamantirto, Kasihan, Bantul, Yogyakarta, Indonesia 55188
* Corresponding author: mariska.intan@umy.ac.id
The incorporation of technology, particularly Chat GPT dialogue, has become increasingly prominent in the English language teaching and learning dynamic field. The utilization of powerful natural language processing techniques in Chat GPT has the potential to enhance language learning experiences by providing simulations of human-like conversations. The primary objective of this study is to examine the congruence between Chat GPT and well-established theoretical frameworks and best practices in the field of English language education. Additionally, this research aims to identify effective pedagogical approaches and instructional tactics that can be employed to maximize the educational benefits of Chat GPT. This study examines the alignment between Chat GPT and academic frameworks like as Communicative Language Teaching, Constructivist Learning Theory, Task-Based Learning, and Personalization and Differentiation. The study involved individuals who are professionals in the English education field, who offered their opinions and insights into the compatibility of Chat GPT with these frameworks. The results demonstrate a notable congruence between Chat GPT and established theoretical frameworks, including constructivist learning principles, communicative language instruction, task-based learning, and personalized learning approaches. The capacity of Chat GPT to promote active engagement, learner autonomy, knowledge production, authentic language use, and collaborative learning aligns with these theoretical frameworks. Moreover, the research delineates distinct instructional approaches for optimizing the use of Chat GPT, including virtual Socratic dialogues, interactive narrative construction, simulated discourse, individualized exchanges, and practical application of knowledge to real-world problem-solving scenarios. These tactics serve to augment learner engagement, fluency, autonomy, and personalized learning experiences.
Key words: Chat GPT / English language teaching / Theoretical frameworks / Pedagogical approaches / Language learning experiences
© The Authors, published by EDP Sciences, 2023
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