=Paper=
{{Paper
|id=Vol-2734/preface
|storemode=property
|title=Preface
|pdfUrl=https://ceur-ws.org/Vol-2734/preface.pdf
|volume=Vol-2734
|authors=Thomas W. Price,Peter Brusilovsky,Sharon I-Han Hsiao,Ken Koedinger,Yang Shi
|dblpUrl=https://dblp.org/rec/conf/edm/X20
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==Preface==
<pdf width="1500px">https://ceur-ws.org/Vol-2734/preface.pdf</pdf>
<pre>
           Proceedings of the
4th Educational Data Mining in Computer
 Science Education (CSEDM) Workshop

                    Edited by
         Thomas Price, Peter Brusilovsky,
   Sharon I-Han Hsiao, Ken Koedinger, Yang Shi
                    July 2020




                        1
   Citation: Thomas Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger,
Yang Shi: Proceedings of 4th Educational Data Mining in Computer Science
Education (CSEDM) Workshop. July 10, 2020, CEUR Workshop Proceedings
(CEUR-WS.org), online (2020).
    This volume1 represents the proceedings of the selected papers of the 4th
Educational Data Mining in Computer Science Education (CSEDM) Workshop
(CSEDM 2020), held on July 10, 2020. The objective of the CSEDM workshop
series is to facilitate a discussion among the research community at the intersec-
tion 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.
    The 4th CSEDM workshop2 at EDM 2020 was hosted in cooperation with
SPLICE (cssplice.github.io), which promotes shared standards, protocols, and
tools for computing education practice and research.
    Out of 17 papers submitted to the 4th CSEDM Workshop, we accepted 4 Full
Presentations (24%), among 12 total accepted papers (71%). We also accepted
2 extended abstracts. 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.




   1 Copyright © 2020 for the individual papers by the papers’ authors. Copyright © 2020

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://go.ncsu.edu/csedm2020




                                             2
Program Committee
Bita Akram, North Carolina State University, USA
Austin Cory Bart, University of Delaware, USA
Barbara Ericson, University of Michigan, USA
Yun Huang, Carnegie Mellon University, USA
Petri Ihantola, University of Helsinki, Finland
Juho Leinonen, University of Helsinki, Finland
Collin Lynch, North Carolina State University, USA
Kelly Rivers, Carnegie Mellon University, USA
Didith Mercedes Rodrigo, Ateneo de Manila University, Philippines
Shaghayegh (Sherry) Sahebi, University at Albany, SUNY, USA
Cliff Shaffer, Virginia Tech University, USA
Alan Smeaton, Dublin City University, Ireland
Sergey Sosnovsky, Utrecht University, Netherlands
John Stamper, Carnegie Mellon University, USA
Michael Yudelson, ACT, Inc




                                   3

</pre>