=Paper=
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|id=Vol-3051/xCSEDM_preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-3051/xCSEDM_preface.pdf
|volume=Vol-3051
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-3051/xCSEDM_preface.pdf</pdf>
<pre>
                Proceedings of the
     5th Educational Data Mining in Computer
      Science Education (CSEDM) Workshop
                            Edited by
            Bita Akram, Thomas Price, Yang Shi, Peter
                 Brusilovsky, Sharon I-Han Hsiao
                            June 2021




Copyright © 2021 for this paper by its authors. Use permitted under
Creative Commons License Attribution 4.0 International (CC BY 4.0).


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    Citation: Bita Akram, Thomas Price, Yang Shi, Peter Brusilovsky, Sharon I-Han
Hsiao: Proceedings of 5th Educational Data Mining in Computer Science Education
(CSEDM) Workshop. June 29, 2021, CEUR Workshop Proceedings (CEUR-WS.org),
online (2021).
    This volume represents the proceedings of the selected papers of the 5th
Educational Data Mining in Computer Science Education (CSEDM) Workshop
(CSEDM 2021), held on June 29, 2021. The objective of this workshop is to facilitate
a discussion among our research community around Educational Data Mining (EDM)
and AI in Computer Science Education. The workshop is meant to be an
interdisciplinary event. Researchers, faculty and students are encouraged to share their
data mining approaches, methodologies and experiences where AI is transforming the
way students learn Computer Science (CS) skills. The 5th CSEDM workshop at EDM
2021 was hosted in cooperation with SPLICE (cssplice.github.io), which promotes
shared standards, protocols, and tools for computing education practice and research.
Out of 15 research papers submitted to the 5th CSEDM Workshop, we accepted 5 Full
Papers (33%), 5 Work-in-Progress Papers (33%) . We also accepted 4 extended
abstracts out of 6 submissions. Each paper was peer reviewed by our program
committee and decisions were made based on these reviews, as well as discussions by
the workshop organizers.




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</pre>