Flex Conference (Physical / Digital)

International Conference on Educational Technology with Machine Learning - (ICETML-27)

11th - 12th February 2027 , Brisbane - Australia

Registration Options

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Call For Papers

The (ICETML-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Adaptive learning systems using ML
  • Personalized learning experiences with AI
  • Assessment tools powered by machine learning
  • Gamification in educational technology
  • Data-driven decision making in education
  • AI for student engagement and retention
  • Learning analytics and predictive modeling
  • Virtual classrooms and machine learning
  • Natural language processing in education
  • Ethical considerations in educational AI
  • Collaborative learning through social networks
  • Machine learning for curriculum development
  • AI-driven tutoring systems and platforms
  • Accessibility in educational technology
  • Impact of ML on educational outcomes
  • Teacher support systems using AI
  • Integration of AR/VR in learning
  • Machine learning for administrative efficiency
  • Future of educational technology innovations
  • Cross-disciplinary applications of educational ML

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.