SPLICE 2020 (L@S): 6th SPLICE Workshop at L@S 2020: "Building an Infrastructure for Computer Science Education Research and Practice at Scale" Cyberspace Online, GA, United States, August 12, 2020 |
Conference website | https://cssplice.github.io/LAS20Workshop.html |
Submission link | https://easychair.org/conferences/?conf=splice2020ls |
Submission deadline | July 24, 2020 |
Sixth SPLICE WorkshopBuilding an Infrastructure for Computer Science Education Research and Practice at Scale
https://cssplice.github.io/LAS20Workshop.html
@ The 2020 ACM Learning at Scale Conference (L@S’2020)
The date of the workshop is August 12, 2020.
L@S 2020 will be held virtually between the 12th and 14th of August 2020
http://learningatscale.acm.org/las2020/
————————— WORKSHOP DESCRIPTION ————————-
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@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.
This 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
————————— TOPICS OF INTEREST —————————
The Workshop welcomes researchers who focus on the issues of computer science education at scale to contribute to the joint effort of designing and building an infrastructure for data-intensive research in Computing Education. The infrastructure should support (1) broader reuse of innovative learning content that is instrumented for rich data collection, (2) formats and tools for analysis of learner data, and (3) development of best practices to make collections of learner data available to researchers.
The workshop focus will be on how novel online learning tools inter-operate in the context of a large-scale educational process, how learner data could be collected, integrated and processed at scale, and how data analysis approaches could be accumulated, shared, and reused to improve education research efforts across the discipline and beyond. The organizers will introduce the goals of SPLICE Community, report progress to date, present a range of relevant activities, and plan future collaboration. The attendees will be able to share their relevant research, establish collaboration, get engaged in the SPLICE Community work, and obtain SPLICE funding for collaborative research in the area.
————————— IMPORTANT DATES ——————————
- Paper submission: July 24, 2020
- Notification of acceptance: August 3, 2020
- The final version of accepted papers: August 7, 2020
- The workshop: August 12, 2020
————————— PAPER SUBMISSION —————————–
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 dataset
The authors of accepted papers will be able to present their work 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@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@S. See https://chi2020.acm.org/authors/chi-proceedings-format/ for details.
Submission should be made in pdf format through the EasyChair system at https://easychair.org/conferences/?conf=splice2020ls
————————— 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