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Humanizing Learning with Generative AI: An Intelligent Reading Companion for Personalized and Inclusive Education (104051)

Session Information:

Tuesday, 24 March 2026 14:30
Session: Poster Session 2
Room: Orion Hall (5F)
Presentation Type: Poster Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This study presents a Generative AI-based Reading Companion System designed to enhance interactive learning, personalized guidance, and educational inclusivity. Addressing the lack of engagement in digital learning, the system integrates GPT-4, Azure STT/TTS, Live2D animation, and WebGazer.js for real-time understanding, emotional response, and adaptive teaching. Based on Vygotsky’s Zone of Proximal Development and instructional scaffolding, it emulates a teacher’s support by offering context-aware explanations, examples, and interactive feedback stored in Firebase for long-term personalization. Affective interaction is achieved through eye-tracking: when learners lose focus, the companion pauses; upon re-engagement, it greets them, promoting attention and motivation. The system also generates summaries, quizzes, and adaptive content to foster self-directed learning while supporting visually impaired or elderly users through multimodal interfaces. Its modular design (Vue.js, Flask, Firebase) allows integration with learning management systems, positioning it as both a personal tutor and an AI assistant. Overall, this system transforms AI from a content provider into an empathetic, intelligent partner that nurtures understanding, curiosity, and emotional connection—pioneering a step toward inclusive, human-centered education in the AI era.

Authors:
Yen-Liang Chen, National Central University, Taiwan


About the Presenter(s)
Professor Yen-Liang Chen is a University Professor/Principal Lecturer at National Central University in Taiwan

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Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00