International Conference on AI and Data Science for Education Technology
(ICADSET - 27)

28th - 29th June 2027 Riffa, Bahrain (Hybrid Event)

Call for Paper

The ICADSET is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Artificial Intelligence, Data Science, Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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