=Paper=
{{Paper
|id=Vol-3796/preface
|storemode=property
|title=Preface
|pdfUrl=https://ceur-ws.org/Vol-3796/preface.pdf
|volume=Vol-3796
|authors=Yang Shi,Peter Brusilovsky,Bita Akram,Thomas Price,Juho Leinonen,Ken Koedinger,Andrew Lan
|dblpUrl=https://dblp.org/rec/conf/edm/X24a
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==Preface==
<pdf width="1500px">https://ceur-ws.org/Vol-3796/preface.pdf</pdf>
<pre>
                                              Proceedings of the
                                   8th Educational Data Mining in Computer
                                    Science Education (CSEDM) Workshop

                                                         Edited by
                                         Yang Shi, Peter Brusilovsky, Bita Akram,
                                Thomas Price, Juho Leinonen, Ken Koedinger, and Andrew Lan
                                                        July 2024




                                                            1


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
   Citation: Yang Shi, Peter Brusilovsky, Bita Akram, Thomas Price, Juho
Leinonen, Ken Koedinger, Andrew Lan: Proceedings of 8th Educational Data
Mining in Computer Science Education (CSEDM) Workshop. July 14, 2024,
Atlanta, GA, United States (2024).
    This volume1 represents the proceedings of the selected papers of the 8th
Educational Data Mining in Computer Science Education (CSEDM) Workshop
(CSEDM 2024), held on July 14, 20242 .
    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 interdisci-
plinary events, designed to bring this community together to share insights for
how to support and understand learning in the domain of CS using data. Re-
searchers, faculty and students present data mining approaches, methodologies
and experiences where AI is transforming the way students learn Computer
Science (CS) skills.
    CSEDM received 4 submissions to the research papers track, of which 2
were accepted (50%); 7 submissions to the position papers or work-in-progress
track, of which 5 papers were accepted (71.4%). We also accepted 1 additional
submission to the description track out of 3 submissions. 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.




   1 Copyright © 2024 for the individual papers by the papers’ authors. Copyright © 2024

for the volume as a collection by its editors. This volume and its papers are published under
the Creative Commons License Attribution 4.0 International (CC BY 4.0).
   2 Workshop website: https://sites.google.com/view/csedm-workshop-edm24/




                                             2
Program Committee
Arto Hellas, Aalto University, Finland
Arnon Hershkovitz, Tel Aviv University, Israel
Muntasir Hoq, North Carolina State University, USA
Naiming (Lucy) Liu, Rice University, USA
Michael Liut, University of Toronto, Canada
Lauri Malmi, Aalto University, Finland
Tanja Mitrovic, University of Canterbury, New Zealand
Arun Balajiee Lekshmi Narayanan, University of Pittsburgh, USA
Priti Oli, University of Memphis, USA
Luc Paquette, University of Illinois at Urbana-Champaign, USA
Andrew Petersen, University of Toronto, Canada
Didith Mercedes Rodrigo, Ateneo de Manila University, Philippines
Cliff Shaffer, Virginia Tech, USA
Alan Smeaton, Dublin City University, Ireland
Sergey Sosnovsky, Utrecht University, Netherlands
John Stamper, Carnegie Mellon University, USA
Andy Smith, North Carolina State University, USA
Khushboo Thaker, University of Pittsburgh, USA
Leo Ureel II, Michigan Technological University, USA
Zichao Wang, Adobe Research, USA
Yingbin Zhang, South China Normal University, China




                                   3

</pre>