International Conference on AI and Data Science for Education Technology ICADSET

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

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

Registration

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

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Publication

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

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Hybrid Event