L@S 2020 - 2020 Workshop Building an Infrastructure for Computer Science Education Research and Practice at Scale

The goal of this workshop is to bring together the existing community of researchers working on the Infrastructure Design for Data-Intensive Research in Computer Science Education and a community of L-AT-S researchers focused on CS Education. While both communities share many similar goals and could greatly benefit from each other work, the interaction between the communities is small. We hope that the workshop will be instrumental in bringing together like-minded researchers from different communities, establishing collaboration, and expanding the scope of the infrastructure project to address critical scaling issues.
The workshop is organized by the SPLICE community (Standards, Protocols, and Learning Infrastructure for Computing Education) in association with NSF-supported project Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education. It follows a sequence of the previous SPLICE and CSEDM workshops organized at SIGCSE, EDM, AIED, ICER, and LAK conferences. More information about SPLICE and past workshops can be found at https://cssplice.github.io
Important Dates
Submission deadline: July 24, 2020 (extended!)
Acceptance notification: August 3, 2020
Final versions of accepted papers August 7, 2020
The workshop: August 12, 2020
L-AT-S 2020 Conference: August 12-14, 2020
Call for Papers and Lightning Presentations:
We are inviting prospective participants to submit 4-6-page short papers and 2-page “lightning” papers about their past and ongoing work related to CS Education Infrastructure. We are especially interested in papers focused on collaborations, integrations, and re-use in the spirit of the SPLICE project. So if you have a working collaboration where you are re-using and bringing together various software tools and/or smart content, or are sharing data sets or learner analytics data analysis tools, then we would like to hear about it. Most valuable in the context of the workshop would be papers focusing on the following topics, although all work related to the SPLICE goals will be considered.
Descriptions of "smart" learning tools or programming environments, which interact with students and collect interaction/performance data
Case studies of collaboration where reproducible practices were used to integrate two or more data-producing learning tools from different institutions
Descriptions of infrastructures that could collect and integrate data from multiple learning tools (e.g. forum posts, LMS activity, and programming data)
Descriptions of shareable Computer Science education datasets
Descriptions of data mining/analytics approaches applied to specifically Computer Science datasets
The authors of accepted papers will be able to present their work in at the workshop as Short talks of 15-20 minutes and Lightning Talks of 10 minutes. The papers will be published online as a part of the Workshop Proceedings and will be publicized on the SPLICE project site.
If you have a contribution accepted to the mainstream L-AT-K conference, which also matches the topic of the workshop, you are welcome to submit a 2-pages lightning paper for the workshop consideration. It will help to publicize and discuss your work within a broader community.
Submissions should follow the ACM CHI format used by L-AT-S. See https://chi2020.acm.org/authors/chi-proceedings-fo... for details. Submission should be made in pdf through the EasyChair system: https://easychair.org/conferences/?conf=splice2020...
Organizers
Peter Brusilovsky, University of Pittsburgh
Ken Koedinger, Carnegie Mellon University
David A. Joyner, Georgia Institute of Technology
Thomas W. Price, North Carolina State University