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

28th - 29th May 2027,Amsterdam, Netherlands

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Call for Paper

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Important Dates


Early Bird Registration

28th Apr 2027

Paper Submission Deadline

3rd May 2027

Registration Deadline

13th May 2027

Conference Date

28th - 29th May 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Amsterdam ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Amsterdam conference.
  • Peer Review Process:
    The peer review process will begin soon for Amsterdam conference.
  • Networking with Global Experts:
    Join global experts at our conference in Amsterdam.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICETML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Educational Technology with Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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