CSTE 2026 (International Conference on Computer Science and Technologies in Education) is an academic conference held in Wuhan, China on 2026-04-17. The paper submission deadline is 2026-03-05 (extended). Acceptance notifications are sent on 2026-03-25.
Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, etc. Both full research and work-in-progress reports are welcome. 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
▪ Gamification and game-based learning
▪ Virtual and augmented reality in education
▪ Adaptive learning systems
▪ Educational robotics and automation
▪ Emerging technologies in education
▪ Cloud computing in education
▪ Immersive learning environments
▪ Wearable technology 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: Digital Technologies for Human Development
▪ Digital technologies for social-emotional learning
▪ Digital technologies for psychological wellbeing
▪ Digital technologies for self-management and regulation
▪ Digital technologies for teacher development
▪ Digital technologies for labor/moral/character education
▪ Sustainable development in a digital world
▪ Innovative solutions to address educational inequity
Track 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies
▪ AI-enhanced pedagogy for diverse learners
▪ Learning analytics-driven differentiation
▪ Accessible immersive learning pedagogies
▪ Culturally responsive edtech solutions
▪ Equity-focused digital assessments
▪ Micro-credentialing for diverse learners
▪ Smart pedagogy training for educators
▪ Multilingual learning support in EdTech
▪ Inclusive gamification frameworks
▪ Student-centered digital pedagogy
▪ AI-augmented project-based learning
▪ Hybrid flipped classroom models
▪ UDL-based digital resource design