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8th International Conference on Computer Science and Technologies in Education (CSTE 2026)
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8th International Conference on Computer Science and Technologies in Education (CSTE 2026)

Apr 17, 2026 - Apr 19, 2026
Wuhan, China
CONFERENCE
Registration
To join or learn more about the event, please visit the organizer's website.
Event Details

Publication

Submitted papers will be peer-reviewed by conference committees. Accepted papers, after proper registration and presentation, will be published in the Conference Proceedings, which will be indexed by Ei Compendex, Scopus, etc. (CSTE 2024 Conference Proceedings has been archived in IEEE Xplore and indexed by Ei Compendex and Scopus.)

Topics

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
  • Track 2: Computer-supported Collaborative Learning and Social Computing

    • Collaborative learning theories and models
    • Social computing and learning
    • Online communities and networks in education
  • Track 3: Artificial Intelligence in Education

    • Intelligent tutoring systems
    • Natural language processing in education
    • Knowledge representation and reasoning in education
  • Track 4: STEM Education and Computational Thinking

    • STEM education and pedagogy
    • Computational thinking and coding education
    • Robotics and automation in STEM education
  • Track 5: Educational Data Mining and Learning Analytics

    • Data-driven approaches to education
    • Learning analytics and visualization
    • Educational data mining and machine learning
  • Track 6: Innovative Technologies for Teaching and Learning

    • Wearable technology in education
    • Gamification and game-based learning
    • Personalized and adaptive learning
  • Track 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies

    • AI-enhanced pedagogy for diverse learners
    • Learning analytics-driven differentiation
    • Accessible immersive learning pedagogies

For more topics, please visit: http://cste.net/cfp.html

Submission Guideline

  • Language: English is the official language. Papers should be prepared and presented in English.
  • Full Paper: A submission of no less than 4 pages in two-column format is required for publication and presentation. For presentation only, submit an abstract.
  • Submission Methods:

Contact Us

Location

Central China Normal University

Wuhan, China

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