Hybrid Conferencee

International Conference on AI and Data Science for Education Technology (ICADSET - 26)

16th - 17th June 2026 | Paris, France
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Paris. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Paris event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Paris conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Paris, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Paris."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICADSET aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Data Science,Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
AI applications in personalized learning environments
02
Data science for student performance prediction
03
Machine learning for adaptive learning systems
04
AI-driven educational content recommendation
05
Data privacy in educational technology
06
AI for enhancing teacher-student interactions
07
Predictive analytics for dropout prevention
08
AI in assessment and grading automation
09
Data-driven approaches to curriculum development
10
AI for improving accessibility in education
11
Machine learning for learning analytics
12
AI applications in lifelong learning initiatives
13
Data visualization techniques for educational data
14
AI for enhancing collaborative learning experiences
15
Ethics in AI-driven educational tools
16
AI in vocational training and skill development
17
Data science for educational equity analysis
18
AI for optimizing resource allocation in schools
19
Machine learning for language learning applications
20
Future directions in educational AI research