Artificial intelligence and emerging digital technologies are transforming learning environments from standardized instruction toward more adaptive, personalized, interactive, and evidence-informed learning experiences. This Special Session explores innovative research and practices that integrate AI with emerging educational technologies to support future-ready learners across diverse educational contexts. Particular attention is given to AI-supported personalization, intelligent feedback and scaffolding, immersive technologies, simulation and game-based learning, learning analytics, and AI-enhanced assessment. The session welcomes empirical studies, design-based research, system development, theoretical frameworks, and interdisciplinary approaches that examine not only technological innovation but also its pedagogical effectiveness and implications for teaching and learning. By bringing together researchers across education, technology, and related disciplines, the session aims to advance the design of intelligent and learner-centered environments that foster meaningful learning, higher-order thinking, self-regulation, and future-ready competencies.
Session Organizer
Asst. Prof. Dr. Monamorn Precharattana, Mahidol University, Thailand
1. AI-Supported Adaptive and Personalized Learning
Submission Methods
Submit your Full Paper (no less than 8 pages with one column) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 3 (AI-Enhanced Learning Environments for Future-Ready Education: Personalization, Immersive Technologies, and Intelligent Feedback)
The topics of interest include, but are not limited to:
Adaptive learning systems, personalized learning pathways, learner modeling, and AI-driven instructional adaptation.
2. Intelligent Feedback, Scaffolding, and Learning Support
AI-generated feedback, intelligent tutoring, adaptive scaffolding, conversational agents, and AI-supported coaching.
3. Immersive Learning with VR, AR, XR, and Virtual Environments
Virtual and augmented reality, immersive simulations, virtual laboratories, digital twins, and technology-supported experiential learning.
4. Game-Based Learning and Intelligent Educational Simulations
Digital and non-digital games, gamification, scenario-based learning, simulation-based learning, and AI-enhanced educational games.
5. AI-Enhanced Assessment and Learning Analytics
Formative and diagnostic assessment, automated assessment, learning analytics, misconception diagnosis, and data-informed instructional decision-making.
6. AI Literacy, Computational Thinking, and Future-Ready Competencies
AI education, computational thinking, problem solving, decision making, creativity, metacognition, self-regulated learning, and other competencies for future-ready learners.
7. AI and Emerging Technologies in STEM and Professional Education
Innovative applications in STEM, health professions, nursing, medical education, business and marketing education, teacher education, and other professional learning contexts.
8. Human-Centered, Ethical, and Responsible AI in Education
Human–AI collaboration, responsible use of generative AI, learner agency, trust, equity, accessibility, and ethical considerations in AI-enhanced learning environments.
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Introduction of Session Organizer
Asst. Prof. Dr. Monamorn PrecharattanaAsst. Prof. Dr. Monamorn Precharattana is an Assistant Professor at the Institute for Innovative Learning, Mahidol University, Thailand. She holds a Ph.D. in Science (Physics) from Mahidol University. Her research focuses on technology-enhanced learning and the design of innovative learning environments that integrate artificial intelligence, adaptive and personalized learning, intelligent feedback, virtual and extended reality, educational games and simulations, and learning analytics. Her work spans STEM education, computational thinking, teacher education, health professions education, and interdisciplinary professional learning. She has led and supervised research involving AI-supported feedback and scaffolding, immersive learning environments, diagnostic and remedial learning systems, and game-based learning. Her current research particularly explores how AI and emerging technologies can be pedagogically designed to provide adaptive learning support, promote higher-order thinking and self-regulated learning, and prepare learners with competencies required for future educational and professional contexts.
