Panel Overview: Artificial intelligence is reshaping both teaching practice and learning experiences in classrooms, courses, and educational institutions worldwide. This panel focuses on AI‑Powered Teaching & Learning, exploring how AI can support teachers in lesson preparation, classroom interaction, assessment, and feedback, while enabling students to engage in more personalized, adaptive, and immersive learning experiences. The discussion also addresses a central question: how can AI move beyond productivity tools to become a transformative force in teaching and learning?
Core Research Question: How can AI enhance teaching effectiveness, personalize learning pathways, and transform classroom experiences without reducing human interaction and educational warmth?
Time & Venue: To be announced, please refer to the final conference schedule.
Core Keywords
AI in Teaching, Adaptive Learning, Personalized Learning, Intelligent Tutoring, Classroom AI, Learning Analytics, AI Feedback, Immersive Learning, Teacher Productivity
Discussion Focus
- AI‑assisted lesson planning, content generation, and course design
- Intelligent tutoring systems and adaptive learning pathways
- AI‑supported classroom interaction, engagement, and real‑time feedback
- Automated assessment, grading, and formative evaluation
- Learning analytics and early intervention for at‑risk students
- Immersive AI tools such as virtual assistants, simulations, and learning companions
- Teacher roles, professional development, and human‑AI collaboration in teaching
Panel Chair (TBA)
Chair Name (TBA)
Affiliation, Country
Bio
Biography information will be released once confirmed.
Panel Introduction
Panel introduction and opening remarks will be updated later.
Bio: Speaker biography will be announced soon.
Bio: Dr. Gloria Yi-Ming Kao is a full professor at the Graduate Institute of Digital Learning and Education at the National Taiwan University of Science and Technology in Taiwan. Her research interests include digital reading literacy and creativity, interactive electronic picture book design, digital games and design thinking, STEAM education, artificial intelligence-assisted learning, and technology-enhanced language learning. She also applies learning analytics tools and techniques (e.g., eye-tracking, EEG, behavioral sequence analysis) to explore individual and group learning processes. In recent years, she has paid increasing attention to issues related to social emotional learning (SEL). Her work primarily involves designing, developing, and implementing innovative digital technologies to create multimedia interactive learning environments that support cognitive construction, increase learning motivation, and promote social engagement, thereby enhancing students' learning outcomes.
Bio: Speaker biography will be announced soon.
Bio: Speaker biography will be announced soon.
Bio: Speaker biography will be announced soon.
Core Discussion Questions
- How can AI improve teaching effectiveness without diminishing the human connection between teachers and students?
- What types of AI tools bring the most tangible value to classroom teaching, learning assessment, and student feedback?
- How should schools and teachers evaluate the quality, reliability, and fairness of AI-generated learning content?
- What competencies do teachers need to effectively collaborate with AI in daily teaching practice?
- How can institutions design sustainable strategies for adopting AI-powered teaching and learning systems?
Who Should Attend?
This panel is designed for educators, researchers, and practitioners focused on technology-enhanced teaching and learning:
- Teachers, instructors, and teaching professionals
- Educational technology researchers and learning scientists
- Instructional designers and curriculum developers
- School leaders and teaching administrators
- EdTech product developers and AI education teams
- Assessment, feedback, and learning analytics specialists
- Graduate students interested in AI-enhanced education