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Call For Papers

The ICADSET 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 Artificial Intelligence,Data Science,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:

  • AI applications in personalized learning environments
  • Data science for student performance prediction
  • Machine learning for adaptive learning systems
  • AI-driven educational content recommendation
  • Data privacy in educational technology
  • AI for enhancing teacher-student interactions
  • Predictive analytics for dropout prevention
  • AI in assessment and grading automation
  • Data-driven approaches to curriculum development
  • AI for improving accessibility in education
  • Machine learning for learning analytics
  • AI applications in lifelong learning initiatives
  • Data visualization techniques for educational data
  • AI for enhancing collaborative learning experiences
  • Ethics in AI-driven educational tools
  • AI in vocational training and skill development
  • Data science for educational equity analysis
  • AI for optimizing resource allocation in schools
  • Machine learning for language learning applications
  • Future directions in educational AI research

Evaluation

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.