Conference

AI and Intelligent Technologies in Education

AI is reshaping teaching and learning. This track invites papers on adaptive learning, intelligent tutoring and learning analytics, generative AI and large language models for teaching and assessment, academic integrity, personalized learning pathways, educational data mining, and immersive virtual and augmented reality learning environments.

Topics of interest in AI and Intelligent Technologies in Education

Submissions to this track of International Conference on the Future of Health, Cybersecurity, and Education should address one or more of the following areas. Papers that connect several topics, or that link this track to the other health, cybersecurity and education conference tracks, are especially welcome.

  • Adaptive learning, intelligent tutoring and learning analytics
  • Generative AI and large language models for teaching, learning and assessment
  • Academic integrity and AI-assisted learning
  • Personalized learning pathways and student success
  • Educational data mining and predictive modelling
  • Virtual, augmented and immersive learning environments

Who should submit to this track

Educators, learning scientists, educational technologists, instructional designers, AI researchers and students interested in AI-supported learning are encouraged to submit.

How to submit and what happens next

Prepare your abstract or full paper with the paper submission guidelines and templates, then upload it through the Microsoft CMT portal before December 31, 2026. Reviewed papers are announced on February 10, 2027; camera-ready papers are due April 10, 2027. Authors can then complete their conference registration (hybrid: onsite or online presentation) and plan their trip to Edmonton, Alberta, Canada; visitors from abroad can check the visa and travel information.

Back to all iCOF 2027 conference tracks, the call for papers or the iCOF 2027 home page.