We are pleased to share the Call for Papers for the 2026 International Conference on Educational Data Mining.
Educational Data Mining (EDM) is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from a variety of learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. Educational data mining considers a wide variety of types of data, including but not limited to log files, student-produced artifacts, discourse, learning content and context, sensor data, and multi-resource and multimodal streams. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.
The 19th iteration of the conference, EDM 2026, will participate in the Festival of Learning 2026.
The theme of this year’s conference is “Educational Data Mining Across Borders: Bridging Disciplines, Contexts, and Perspectives.” Educational Data Mining has reached a stage where methods and findings are relevant across multiple areas of research and practice. Many of the challenges in learning and teaching cannot be addressed from a single perspective, and solutions are strengthened by crossing disciplinary, contextual, and cultural boundaries. EDM 2026 emphasizes the opportunities that emerge through building connections across disciplines, contexts, geographies, cultures, and societies.This year’s theme highlights work that integrates perspectives, links research and practice, and broadens the impact of educational data mining to support diverse and inclusive learning opportunities.
We welcome submissions of original research papers, short papers, industry papers, journal-track papers, posters, demonstrations, doctoral consortium submissions, as well as proposals for workshops and tutorials. Submissions may address methodological advances, theoretical contributions, practical applications, ethical and societal considerations, and interdisciplinary approaches related to educational data mining. Contributions from researchers, practitioners, and industry partners across disciplines and global contexts are strongly encouraged.
Important Dates
Abstracts due: February 2, 2026
Full, Short, and Industry Paper Submissions due: February 9, 2026
Please see the full call for additional details: https://educationaldatamining.org/edm2026/call-for-papers/
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Anthony Botelho, Maria Mercedes Rodrigo, & Adish Singla
EDM 2026 Program Chairs