Flex Conference (Physical / Digital)

International Conference on Education Data Analytics and Learning Systems - (ICEDALS-26)

31st - 1st November 2026 , Manila - Philippines

Registration Options

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Call For Papers

The (ICEDALS-26) 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 Data Analytics 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:

  • Data-driven approaches in education
  • Learning analytics for student success
  • Predictive modeling in educational settings
  • Personalized learning through data analysis
  • Assessment analytics for improved outcomes
  • Data privacy in educational contexts
  • Machine learning applications in education
  • Visualizing educational data effectively
  • Gamification and data analytics in learning
  • Impact of data on teaching methodologies
  • Ethical considerations in education data
  • Collaborative learning through data insights
  • Real-time feedback mechanisms in education
  • Data literacy for educators and students
  • Using analytics to enhance curriculum design
  • Longitudinal studies in educational data
  • Data mining techniques for educational research
  • Integrating AI in educational analytics
  • Trends in educational data technologies
  • Future directions in learning systems

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.