Driven by the global digital transformation of education, educational large language models and multi-agent collaborative intelligence have emerged as core engines empowering the modernization and intelligent upgrading of educational systems. ELLM-MAS 2026 serves as a high-standard, global academic platform for distinguished scholars, researchers, educators and industry professionals worldwide to exchange original theoretical findings, cutting-edge technological innovations and interdisciplinary practical achievements in intelligent learning, AI-driven teaching optimization and digital educational
Featuring keynote speeches, paper presentations and thematic academic forums, the conference adheres to rigorous academic norms, facilitates cross-disciplinary and cross-border academic collaboration, addresses key technical and theoretical challenges in smart education, and fosters global research partnerships to advance the high-quality and sustainable development of future-oriented educational intelligent ecosystems.
Following peer review, accepted papers with completed registration and presentation will be included in the Conference Proceedings, indexed by Ei Compendex and Scopus.
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Topics of interest include, but are not limited to:
Lightweight LLM deployment for education
Discipline-specific LLM customization
Educational LLM hallucination mitigation
Multimodal educational LLM integration
Immersive virtual classroom construction
Virtual teacher-student interaction
AI-assisted instructional design
Full-process classroom intelligent monitoring
Educational data privacy protection
Algorithm bias and educational equity
Trusted multi-agent interaction
Hybrid teaching quality optimization
Generative AI content security audit
All scenic images are for conference academic display only. Copyright belongs to the original owners.
