International Conference on AI and Data Science for Education Technology - (ICADSET-26)


30th - 1st December, 2026 | Vancouver, Canada

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

31st October, 2026

Paper Submission Deadline

5th November, 2026

Last Date Of Registration

15th November, 2026

Date Of Conference

30th - 1st December, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICADSET-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence,Data Science,Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI applications in personalized learning environments
  • Data science for student performance prediction
  • Machine learning for adaptive learning systems
  • AI-driven educational content recommendation
  • Data privacy in educational technology
  • AI for enhancing teacher-student interactions
  • Predictive analytics for dropout prevention
  • AI in assessment and grading automation
  • Data-driven approaches to curriculum development
  • AI for improving accessibility in education
  • Machine learning for learning analytics
  • AI applications in lifelong learning initiatives
  • Data visualization techniques for educational data
  • AI for enhancing collaborative learning experiences
  • Ethics in AI-driven educational tools
  • AI in vocational training and skill development
  • Data science for educational equity analysis
  • AI for optimizing resource allocation in schools
  • Machine learning for language learning applications
  • Future directions in educational AI research

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot