Call for Paper

AIED Kokand 2026 provides an excellent opportunity for all participants to exchange scientific knowledge, share experience, and discuss current issues in the following areas related to artificial intelligence technologies in education:

Conference Tracks & Topics
Research Scope
Track 01
Theoretical and Methodological Foundations of AI in Education
  • Theoretical frameworks for integrating AI technologies into educational systems
  • Methodological approaches and pedagogical strategies for AI-driven learning
  • Curriculum design, instructional models, and educational policy for AI adoption
Track 02
Practical Applications of AI, Machine Learning, and Data Science in Teaching
  • Applied AI, Machine Learning, and Data Science models in classroom settings
  • Intelligent Tutoring Systems (ITS) and automated grading systems
  • Practical implementation of Generative AI and Large Language Models (LLMs) in learning
Track 03
Educational Big Data Analytics, Assessment, and Forecasting
  • Educational Data Mining (EDM) and Big Data infrastructure in education
  • Predictive analytics for student academic performance and retention
  • Automated learning analytics dashboards and learning assessment models
Track 04
Smart Learning Systems, Digital Platforms, and Personalized Education
  • Smart learning environments, adaptive platforms, and personalized learning pathways
  • Recommendation systems for student-centered instructional content
  • Digital transformation of institutional management and academic workflows
Track 05
Emerging Trends and Prospects of AI in Distance and Digital Education
  • Modern trends in online, blended, and distance learning powered by AI
  • Virtual classrooms, AI avatars, and immersive technologies (AR/VR) in e-learning
  • Future prospects, ethical considerations, and digital equity in smart education