Date of Publication :8th August 2024

Abstract:This paper discusses how adaptive technology is harnessed to support the teaching and learning of affixes in the Malay grammar. Personalised learning has gained significant traction in recent years as the demand for individualised education increases and advanced technologies such as Artificial Intelligence (AI) emerge. AI powered adaptive technology has the potential to enhance the effectiveness of personalised learning by providing real-time feedback and customised learning experiences. Therefore, the Personalised Adaptive Learning and Assessment System (PALAS), an AI-enabled learner-centric platform, is created to support the learning of Malay Morphology modules for student teachers at National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore. PALAS endeavours to provide each learner with a personalised learning experience that aligns with their learning path. Encouraging findings such as learning gains, users’ motivation to learn, understanding of the grammar topic and confidence in teaching the Malay Language, have emerged from the study. The author will be sharing on the various aspects of adaptive learning affordances in PALAS that support these outcomes such as curriculum mapping, learning loops, diagnostic and mastery levels.

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