The topics of interest for submission include, but are not limited to:
📚︎Track 1: AI-enabled Educational Theories and Innovative Teaching
Fundamental theories of AI and education integration
Design of AI-driven innovative teaching models
Intelligent instructional design and curriculum reform
Development concepts of smart education
Theories of AI-enabled personalized instruction
Interdisciplinary innovation of intelligent education
Intelligent upgrading pathways for lifelong education
Theories and practices of educational digital transformation
📚︎Track 3: Educational Big Data and Learning Analytics
Mining and analysis technologies of educational big data
Intelligent modeling and analysis of learning behaviors
Data-driven educational decision-making
Intelligent monitoring and early warning of learning status
Fusion analysis of multimodal educational data
Intelligent assessment technologies for learning outcomes
Visualization applications of educational big data
Data-enabled improvement of education quality
📚︎Track 2: Intelligent Learning Technologies and Adaptive Learning Systems
Development of adaptive intelligent learning systems
Applications of personalized intelligent learning technologies
Intelligent tutoring and virtual assistant systems
Ubiquitous and mobile learning technologies
Design and optimization of smart learning platforms
Construction technologies of learner profiles
Methods for empowering autonomous learning with AI
Construction and practice of intelligent learning scenarios
📚︎Track 4: Industrial Applications and Practical Innovations of AI in Education
Innovative practices of AI teaching in basic education
Intelligent reform applications in higher education
AI-enabled technologies for vocational education
AI STEM education and innovative talent cultivation
Smart training technologies and solutions for enterprises
AI language education and intelligent translation instruction
Practical applications of educational robots
R&D and scenario deployment of AI educational products