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        <article-title>Proceedings of the 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Edited by Bita Akram</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yang Shi</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Peter Brusilovsky Thomas Price</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ken Koedinger</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Paulo Carvalho Shan Zhang</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andrew Lan</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Juho Leinonen</string-name>
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      <p>Citation: Bita Akram, Yang Shi, Peter Brusilovsky, Thomas Price, Ken
Koedinger, Paulo Carvalho, Shan Zhang, Andrew Lan, Juho Leinonen:
Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM)
Workshop. July 20, 2025, Palermo, Sicily, Italy (2025).</p>
      <p>This volume1 represents the proceedings of the selected papers of the 9th
Educational Data Mining in Computer Science Education (CSEDM) Workshop
(CSEDM 2025), held on July 20, 20252.</p>
      <p>The objective of the CSEDM workshop series is to facilitate a discussion
among the research community at the intersection of Educational Data Mining
(EDM), AI and Computer Science Education. The workshops are
interdisciplinary events, designed to bring this community together to share insights for
how to support and understand learning in the domain of CS using data.
Researchers, faculty and students present data mining approaches, methodologies
and experiences where AI is transforming the way students learn Computer
Science (CS) skills.</p>
      <p>CSEDM received 11 submissions to the research papers track, of which 6
were accepted (54.5%); 4 submissions to the position papers or work-in-progress
track, of which 3 papers were accepted (75%). We also accepted 2 additional
submissions to the description track. Each paper was peer reviewed by our
program committee in a double-blinded way, and decisions were made based on
these reviews, as well as discussions by the workshop organizers.
Arun Balajiee Lekshmi Narayanan, University of Pittsburgh, USA
Luc Paquette, University of Illinois at Urbana-Champaign, USA
Andrew Petersen, University of Toronto, Canada
Juan Pinto, University of Illinois at Urbana-Champaign, USA
Maria Mercedes T. Rodrigo, Ateneo de Manila University, Philippines
Clif Shafer , Virginia Tech, USA
Andy Smith, North Carolina State University, USA
Cansu Tatar, Northern Illinois University, USA
Khushboo Thaker, University of Pittsburgh, USA
Leo Ureel II, Michigan Technological University, USA
Zichao Wang, Adobe, USA
Yingbin Zhang, South China Normal University, China
Zhikai Gao, North Carolina State University, USA
Adam Gaweda, North Carolina State University, USA
Arto Hellas, Aalto University, Finland
Muntasir Hoq, North Carolina State University, USA
Nguyen-Thinh Le, Humboldt-Universiat¨t zu Berlin, Germany
Naiming Liu, Rice University, USA
Michael Liut, University of Toronto, Canada
Lauri Malmi, Aalto University, Finland</p>
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