Call for Papers

Submit your original research to ICETAI 2026

Conference Theme

Educational Transformation in the Age of Artificial Intelligence

The International Conference on Educational Technology and Artificial Intelligence (ICETAI 2026) invites researchers, scholars, practitioners, and industry experts to submit original research papers and case studies addressing the latest advances in educational technology and artificial intelligence, with a strong emphasis on AI-driven educational transformation.

Topics of Interest

Privacy in Educational Systems and AI

Security and Data Protection in EdTech

Ethics and Responsible AI in Education

Digital Twin Technology and Educational Applications

Design and Framework of Learning System

Online and Distance Learning

Mobile Learning in the Era of Wearable and Ubiquitous Computing

VR/AR/MR/XR/Eye-tracking in Education

Pedagogies for Innovative Technologies and Learning

Artificial Intelligence in Education (AIED)

Intelligent Tutoring and Learning Support Systems

AI-powered Learning Management Systems (LMS)

Automated Assessment and Evaluation Using AI

Learning Analytics and Educational Data Mining

Personalized and Adaptive Learning Systems

AI-Orchestrated Learning and Intelligent Learning Coordination

Ethical, Legal, and Social Issues of AI in Educational Environments

Wearable Technologies and Smart Devices for Learning

Smart Learning Environments and Intelligent Educational Systems

AI-assisted Content Creation and Learning Design

Learner-Centered Technologies and Experience Enhancement

Digital Transformation of Education in the AI Era

Other Topics

Publication and Indexing

Accepted papers are planned to be published in the conference proceedings in either:

  • Springer LNNS (Lecture Notes in Networks and Systems), or
  • Springer CCIS (Communications in Computer and Information Science)

Note: Final publication details will be announced soon.

All publications will be Scopus indexed

Who Should Attend

  • Researchers and academics in education, computer science, and AI
  • Educational technologists and instructional designers
  • Policymakers and education leaders
  • Industry professionals and EdTech innovators
  • Graduate students and early-career researchers

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