Proceedings of the 18th International Conference on Educational Data Mining
Published July 12, 2025 | Version v1
Conference paper Open

9th Educational Data Mining in Computer Science Education (CSEDM) Workshop

Authors/Creators

Contributors

  • 1. University of Minnesota, USA
  • 2. Weizmann Institute of Science, Israel
  • 3. CNR-ITD, Italy
  • 4. University of Palermo, Italy
  • 5. University of Illinois at Urbana-Champaign, USA

Description

There is a growing community of researchers at the intersection- tion of data mining, AI, and computing education research. The objective of the CSEDM workshop is to facilitate a dis- Discussion among this research community, with a focus on how data mining can be uniquely applied in computing ed- ucation research. For example, what new techniques are needed to analyze program code and CS log data? How do results from CS education inform our analysis of this data? The workshop is meant to be an interdisciplinary event at the intersection of EDM and Computing Education Research. Researchers, faculty, and students are encouraged to share their AI- and data-driven approaches, methodological- gies, and experiences where data transforms how students learn Computer Science (CS) skills. This full-day workshop will feature paper presentations and discussions to promote collaboration.

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