Citation

Azhar, Masood and Hew, Soon Hin and Neo, Tse Kian (2024) SPARC: A Framework for Enhancing Early Childhood Reading through Augmented Reality, Conversational AI, and IDC Theory. In: 2024 International Conference on TVET Excellence and Development, ICTeD 2024, 16-17 December 2024, Melaka, Malaysia.

Text SPARC_ A Framework for Enhancing Early Childhood Reading through Augmented Reality, Conversational AI, and IDC Theory.pdf - Published Version Restricted to Repository staff only Download (328kB)

Abstract

Augmented reality (AR) and conversational artificial intelligence (ConvAI) are emerging technologies with significant potential to transform the educational landscape. However, AR content tailored for early childhood education often prioritizes entertainment over academic value and lacks alignment with curriculum standards. This paper introduces SPARC (System for Personalized AR and Reading with ConvAI), a novel conceptual framework designed to enhance early childhood reading experiences. Grounded in interestdriven creator (IDC) theory, SPARC leverages AR to capture attention through interactive visuals and ConvAI to facilitate dynamic, personalized conversational learning. By aligning educational content with children's intrinsic interests, SPARC redefines reading as an interactive journey that fosters motivation, engagement, and skill development. This paper presents the theoretical foundations, design components, and potential framework of SPARC, demonstrating its potential to address critical gaps in current educational technologies and revolutionize early childhood education.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Augmented Reality (AR), conversational AI
Subjects:	L Education > LB Theory and practice of education > LB1501 Primary Education Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Feb 2025 06:09
Last Modified:	28 Feb 2025 06:09
URII:	http://shdl.mmu.edu.my/id/eprint/13551

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