Citation

Azhar, Masood and Hew, Soon Hin and Neo, Tse Kian (2025) Enhancing Early Childhood Reading Skills Through Immersive AR and Conversational AI. In: 2025 13th International Conference on Information and Education Technology (ICIET), 18-20 April 2025, Fukuyama, Japan.

Text 11.pdf - Published Version Restricted to Repository staff only Download (596kB)

Abstract

Developing strong reading skills during early childhood is a foundational step toward lifelong academic success. However, traditional methods of teaching reading often fail to address the diverse needs and learning styles of young learners. Emerging technologies, such as augmented reality (AR) and conversational artificial intelligence (ConvAI), offer transformative opportunities to create engaging and adaptive learning experiences. This paper introduces SPARC (system for personalized AR and reading with ConvAI), a prototype application designed to enhance early literacy development. Grounded in interest-driven creator (IDC) theory, SPARC combines AR for immersive visual storytelling and ConvAI for personalized conversational learning. By tailoring content to children's complex interests and developmental needs, SPARC creates a dynamic, interactive reading environment that fosters motivation, comprehension, and sustained engagement. This paper discusses the design methodology, system architecture, implementation details, and anticipated impact of SPARC, offering a new vision for technology-enhanced literacy education.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Augmented reality, conversational AI, early childhood reading, literacy Skills, IDC theory, adaptive learning
Subjects:	L Education > LB Theory and practice of education > LB1060 Learning
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	29 Jul 2025 02:24
Last Modified:	31 Jul 2025 09:20
URII:	http://shdl.mmu.edu.my/id/eprint/14340

Downloads

Edit (login required)