EDCAI 2027

Call for papers

Original research in education, digital computing, artificial intelligence and their intersections.

Artificial Intelligence and Digital Computing

  • Machine Learning and Deep Learning
  • Generative Artificial Intelligence and Large Language Models
  • Natural Language Processing and Computer Vision
  • Knowledge Graphs and Recommendation Systems
  • Computational Intelligence, Data Computing and Intelligent Optimization
  • Multimodal, Explainable and Trustworthy AI
  • Intelligent Decision-Making Systems

AI-Driven Education and Intelligent Learning

  • Artificial Intelligence in Education
  • Intelligent Tutoring Systems
  • Adaptive and Personalized Learning
  • AI Teaching Assistants and Educational Large Language Models
  • Generative AI in Teaching and Learning
  • Intelligent Assessment and Automated Feedback
  • Human-AI Collaborative Learning and Intelligent Learning Environments

Educational Data Mining and Learning Analytics

  • Educational Data Mining
  • Learning Analytics and Learning Behavior Analysis
  • Student Performance and Academic Risk Prediction
  • Knowledge Tracing and Learner Modeling
  • Learning Path and Educational Recommendation
  • Teaching Quality Evaluation
  • Data-Driven Educational Decision-Making

Digital Education Technologies and Education Innovation

  • Digital and Smart Education
  • Smart Classrooms and Digital Learning Platforms
  • Online, Blended and Technology-Enhanced Learning
  • Virtual Reality, Augmented Reality and Educational Robotics
  • Human-Computer Interaction in Education
  • Cloud, Edge Computing and Internet of Things for Education
  • Digital Transformation and Innovative Teaching Technologies