Embracing Chatbots as Learning Agent: A Scoping Literature Revie

ROSMALILY SALLEH, VAIKUNTHAN RAJARATNAM, ABTAR DARSHAN SINGH, ABU YAZID ABU BAKAR

Abstract


In the era of digital education, the demand for personalised and adaptive learning tools has grown significantly. AI powered chatbots have emerged as innovative solutions, offering learners tailored guidance and real-time feedback. This paper introduces the Personalised Constructivist Agent Model (PCAM), a theoretical framework that integrates principles from constructivism, adaptive learning theories, and self-determination theory. The PCAM demonstrates how chatbots can enhance personalised learning, foster active knowledge construction, and promote intrinsic motivation by synthesising established educational theories. Through a comprehensive review of theoretical underpinnings and practical applications, this study highlights the transformative potential of chatbots in education. It also addresses key implementation challenges, including ethical considerations, cultural sensitivity, and the balance between automation and human interaction. The findings offer valuable insights for educators, researchers, and developers seeking to harness the capabilities of chatbots to create engaging, effective, and inclusive educational experiences.

Keywords


AI-powered chatbots, personalised learning, Constructivist theories, Adaptive learning, self-determination

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Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

© Malaysian Journal of Education | Jurnal Pendidikan Malaysia
ISSN 2180-0782 | eISSN: 2600-8823