Full Paper Submission Date: June 26, 2026

 Registration Deadline: June 27, 2026

 Final Paper Submission Date:  June 28, 2026

 Conference Date: June 26-28, 2026

 Venue: Xiangtan, Hunan, China

 Important Indexes: EI Compendex / Scopus

2026 International Conference on Educational Data Mining and Computer Technology (IECT 2026)

As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future.

To adapt to this changing world and the rapid development of educational informatization in the new era, 2026 International Conference on Educational Data Mining and Computer Technology (IECT 2026) is to be held in June 26-28, 2026 in Xiangtan, Hunan. This conference takes "integrating data mining technology to empower intelligent education development" as the theme and focuses on cutting-edge research fields including Educational Data Mining, Computer Technology, Intelligent Education, and Educational Informatization. IECT 2026 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into educational application solutions, and brings together talent, technology and practice to drive the innovation and development of intelligent education. The conference sincerely invites experts, scholars, educators, business people and other relevant personnel from universities, scientific research institutions and educational institutions at home and abroad to attend and exchange!

With the rapid development of science and technology: the era of Educational Informatization is coming. A comprehensive view of the development of modern education can be found; With the integration of big data, artificial intelligence and other technologies into the field of education, educational data mining and computer technology application in education are facing numerous challenges. Educational data mining and computer technology in the era of intelligent education are facing challenges as well as opportunities. How to overcome the bottleneck of traditional educational technology application in the context of educational data mining and computer technology is the goal pursued by this conference.

About the Journal

An international, peer-reviewed open-access platform dedicated to publishing high-quality conference proceedings that explore the intersections of science, technology, and their impact on societal development. The series aims to provide a comprehensive forum for researchers, scholars, and practitioners to share their latest findings, foster interdisciplinary collaboration, and address global challenges. Each submission undergoes a rigorous peer-review process to ensure the publication of relevant, impactful, and timely content that contributes to advancing both scientific knowledge and societal progress.

Manuscripts submitted to 2026 International Conference on Educational Data Mining and Computer Technology (IECT 2026) will be reviewed by two or three expert reviewers from the conference organizing committee, and once accepted, will be published in ACM ICPS (ACM International Conference Proceeding Series)(ISBN: 979-8-4007-0020-0). The published papers will then be submitted to EI Compendex / Scopus / Google Scholar for indexing. 

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

We invite the submission of excellent papers and review them based on the specific requirements of each journal.