ERIC Number: ED673561
Record Type: Non-Journal
Publication Date: 2025-Jun-18
Pages: 45
Abstractor: As Provided
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Available Date: 0000-00-00
The C.H.A.T.S. Model: A Framework for AI-Driven Language Learning in the Digital Age
Online Submission
This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses persistent challenges in language education, including the theory-practice gap and the need for contextualised, learner-cantered approaches. Drawing on socio-constructivism, eclecticism, interactionalism, activity theory, and connectivism, the C.H.A.T.S. model provides a flexible yet structured approach to language instruction that emphasises authentic communication, holistic skill development, and situated learning. This framework positions AI chatbots as integral facilitators throughout the learning process, promoting learner agency while bridging academic knowledge with practical application. The model's five-stage implementation process offers educators a comprehensive approach to preparing learners for the demands of digital literacy in the 21st century.
Publication Type: Reports - Descriptive
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Language: English
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