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Abstract
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.
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