2025 International Conference on Digital Education and Information Technology (DEIT 2025)
Call For Papers
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Call For Papers

The topics of interest for submission include, but are not limited to:

Track 1: Educational Technologies and Systems

▪ E-learning platforms and tools

▪ Computer-supported collaborative learning

▪ Mobile and ubiquitous learning

▪ Game-based learning

▪ Virtual and augmented reality in education

▪ Adaptive learning systems

▪ Educational robotics and automation

▪ Emerging technologies in education

Track 2: Computer-supported Collaborative Learning and Social Computing

▪ Collaborative learning theories and models

▪ Social computing and learning

▪ Online communities and networks in education

▪ Social media in education

▪ Collaborative technologies in education

▪ Computer-supported argumentation and debate

Track 3: Artificial Intelligence in Education

▪ Intelligent tutoring systems

▪ Natural language processing in education

▪ Knowledge representation and reasoning in education

▪ Intelligent educational systems and applications

▪ Smart learning environments

▪ Cognitive modelling and educational implications

Track 4: STEM Education and Computational Thinking

▪ STEM education and pedagogy

▪ Computational thinking and coding education

▪ Robotics and automation in STEM education

▪ Computational modeling and simulation in education

▪ Educational applications of Internet of Things

▪ Digital fabrication and maker education

Track 5: Educational Data Mining and Learning Analytics

▪ Data-driven approaches to education

▪ Learning analytics and visualization

▪ Educational data mining and machine learning

▪ Big data in education

▪ Personalized learning

▪ Educational decision making

▪ Assessment and evaluation in e-learning

Track 6: Innovative Technologies for Teaching and Learning

▪ Wearable technology in education

▪ Gamification and game-based learning

▪ Personalized and adaptive learning

▪ Cloud computing in education

▪ Mobile learning and ubiquitous computing

▪ Immersive learning environments