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LLM4Edu 2026 is a special workshop of the ICCE 2026 International Conference, focusing on the application of large language models (LLMs) in the field of education, covering cutting-edge research directions such as educational agent design, interpretable learner models, and AI literacy education.
Section 01
LLM4Edu 2026 is a special workshop of the ICCE 2026 International Conference, focusing on the application of large language models (LLMs) in the field of education, covering cutting-edge research directions such as educational agent design, interpretable learner models, and AI literacy education.
Section 02
Section 03
As a major breakthrough in the field of artificial intelligence, large language models (LLMs) are profoundly changing the teaching and learning methods in education. LLMs have strong semantic understanding and text generation capabilities, surpassing traditional natural language processing methods, and can deeply learn from massive datasets to provide more accurate and personalized support for teaching and learning.
Applications based on LLMs and agents can provide students with rich learning resources and diverse learning scaffolds to guide them in solving problems. At the same time, LLMs can also be used for automatic teaching diagnosis, reducing teachers' workload while helping them efficiently grasp learning situations, adjust teaching strategies, and design more effective teaching assessment methods.
Following the success of the first two LLM-Edu workshops at GCCCE 2024 and ICCE 2025, the third LLM4Edu workshop will be held during the ICCE 2026 International Conference.
Section 04
| Item | Content |
|---|---|
| Workshop Name | The 3rd International Workshop on Large Language Models for Education |
| Conference Format | Small conference with paper presentations |
| Duration | Half a day |
| Expected Number of Participants | Approximately 30 people |
| Venue | ICCE 2026 International Conference |
| Official Website | https://llm4edu-icce2026.github.io/LLM4edu/ |
Section 05
LLM4Edu 2026 provides an open forum for researchers, practitioners, and developers to share empirical research, innovative applications, and theoretical reflections on LLM-based educational tools and agents.
Section 06
Educational Agent Design and Application
Interpretable Learner Models
AI Literacy Education
LLM-Assisted Teaching Assessment
Multimodal Educational Applications
Section 07
Dr. Bo Jiang
Dr. Bo Jiang's research interests focus on educational agent design, interpretable learner models, and AI literacy education. He has led and participated in more than ten national and provincial research projects, and published over 50 papers in SCI, SSCI, CSSCI journals, and CCF-A conferences. He has served as an editorial board member of several international SCI/SSCI journals, a member of the Executive Committee of the Asia-Pacific Society for Computers in Education (APSCE), and the Program Committee Chair of GCCCE 2023 and ICCE 2025.
Section 08
Dr. John Stamper
Dr. Stamper's main research areas include educational data mining and intelligent tutoring systems. As Technical Director, he manages DataShop—the world's largest open transactional educational data repository—and the accompanying visualization and analysis tools for learning science research. Before returning to academia, he worked in the software industry for more than ten years, including collaborating with several startups.
Dr. Hung-Hsiang Wong
Dr. Hung-Hsiang Wong received his PhD from NTU in 1998, specializing in computer engineering, with research focus on AI in education, especially intelligent tutoring systems based on inquiry-based teaching models. He is active in several international academic organizations, having served as President of the Asia-Pacific Society for Computers in Education (APSCE) (2018-2019), a member of the Executive Committee of the Global Chinese Society for Computers in Education, a board member of the International Alliance for the Advancement of Learning in the Digital Era (IAALDE) (2019-2024), and the Singapore representative to Technical Committee 3 (E-Learning) of the International Federation for Information Processing (IFIP).
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