Call for Papers
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.
Conference Theme
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.
Submission Types and Guidelines
EDM 2026 invites submissions across multiple tracks to accommodate a wide range of research contributions and stages of work:
- Full Papers (10 pages): Mature, original research with strong theoretical, methodological, and empirical contributions.
- Short Papers (6 pages): Original research, including early-stage work, novel ideas, or focused empirical studies.
- Industry Papers (6 pages): Reports on innovative applications of educational data mining in commercial or applied settings.
- Journal Track (JEDM): Submissions to the Journal of Educational Data Mining that, if accepted, will be published in the journal and presented at the conference.
- Posters and Demonstrations (2–4 pages): Works in progress, late-breaking results, datasets, tools, or system demonstrations.
- Doctoral Consortium (2–4 pages): Research proposals and progress reports from doctoral students seeking feedback and mentorship.
Please see the full call for additional details: https://educationaldatamining.org/edm2026/call-for-papers/
Papers can be submitted through the Easychair platform: https://easychair.org/conferences/?conf=edm2026
Important Dates
All dates refer to 23:59 (11:59 pm) Anywhere on Earth. All deadlines are firm. No extension will be granted.
| Abstracts for full and short papers | February 2, 2026 |
| Full, short, and industry papers | February 9, 2026 |
| Acceptance notifications for full, short, and industry papers | March 30, 2026 |
| Camera-ready copy due | April 30, 2026 |
Please see the full call for additional details: https://educationaldatamining.org/edm2026/call-for-papers/