(The following topics include but are not limited to)
Theme 1: Wisdom Education
Data-based learning theory
Learning and teaching process mining
Emotional learning analysis
Quantification and analysis of learner engagement and participation
Learning early warning and learning intervention
Learn the design and adoption of analytical tools
Adaptive learning decision support and feedback
Multivariate multimodal learning assessment
Data-driven performance prediction
Discourse analysis in interactive learning environments
Collaborative learning analysis
Social and cognitive network analysis
Study ethical issues in analysis
Topic 2: Computer technology
Learning analysis is used to inform instructional design decisions
Video conferencing in learning and integration of social media in teaching
Digital teaching resources and tools
Interactive simulation of concept teaching in STEM education
Automated scoring systems: Benefits, challenges, and Best practices
Personalize feedback to support student learning
Technology strengthens classroom management strategies
Digital attendance tracking and student progress monitoring
Innovation of teaching technology integration
Interactive whiteboard and multimedia presentation
Flipped classroom model
Integrating robotics and coding in STEM teaching
Identify at-risk students and tailor support interventions
Evidence-based instructional decision-making
Theme 3: Instructional design reform
Information-based instructional design, instructional design and practice
Educational philosophy and management, teaching reform and practice, information-based teaching design
Programming teaching, information teaching, information technology
Curriculum teaching, teaching exploration
Project-based teaching
Online course, project teaching method
Instructional design, classroom teaching, strategic research
Curriculum design, teaching methods, experimental teaching, information technology
Teaching strategy, modern distance education