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|pdfUrl=https://ceur-ws.org/Vol-3051/xLDI_preface.pdf
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-3051/xLDI_preface.pdf</pdf>
<pre>
                 Proceedings of the
       2nd Workshop of the Learner Data
    Institute: Big Data, Research Challenges,
     & Science Convergence in Educational
                   Data Science
                           Edited by
                Vasile Rus & Stephen E. Fancsali
                            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: Vasile Rus & Stephen Fancsali : Proceedings of the 2nd Workshop of
the Learner Data Institute: Big Data, Research Challenges, & Science Convergence in
Educational Data Science. June 29, 2021, CEUR Workshop Proceedings (CEUR-
WS.org), online (2021).


    The Second Workshop of the Learner Data Institute was held virtually on June
29, 2021. An interactive keynote session, including a talk by Dr. Ryan S. Baker
entitled “Opportunities for Learning Engineering and Educational Data Mining:
Findings from an Asynchronous Virtual Convening,” was followed by six
contributed paper presentations. Papers were reviewed by the workshop organizers
and program committee, with a 75% acceptance rate (6 of 8 contributed papers
accepted). Learn more about the Learner Data Institute at
http://www.learnerdatainstitute.org. The Learner Data Institute is funded by the
National Science Foundation (NSF; award #1934745). The opinions, findings, and
results are solely the authors’ and do not reflect those of NSF.




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