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Event URL: http://cssplice.org/SIGCSE23Workshop.html

Many SIGCSE attendees are either developing or using online educational tools, and all will benefit from better interoperability among these tools and better analysis of the clickstream data coming from those tools. New tools for analyzing big data leveraged by AI (e.g., deep learning for assessment) in turn improve both content and pedagogy, thus setting up a virtuous cycle fueling learning discoveries and leveraging innovation in AI: Online technologies → big data analysis → better online technologies. This NSF-supported workshop is the latest in a series of SPLICE workshops, and is a follow-up to our highly successful events at SIGCSE 2018 and 2019. SPLICE has received a second round of NSF funding. A key deliverable for this phase is the SPLICE- Portal, a dedicated socio-technical research infrastructure for Computing Education Research. The primary goal of this workshop is to develop an action plan to guide the first years of this phase of the project, and to build upon our existing collaborations developed over the course of the project to engage more members of the community in tasks that will advance the project agenda.

Wed 15 Mar

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08:30 - 17:00
Eighth SPLICE Workshop on Technology and Data Infrastructure for CS Education ResearchAffiliated Events at 701B
Chair(s): Tiffany Barnes North Carolina State University, Peter Brusilovsky University of Pittsburgh, Ken Koedinger Carnegie Mellon University, Thomas Price North Carolina State University, Cliff Shaffer Virginia Tech

Event URL: https://cssplice.github.io/SIGCSE23Workshop.html

08:30
8h30m
Other
Eighth SPLICE Workshop on Technology and Data Infrastructure for CS Education ResearchIn-Person
Affiliated Events
Tiffany Barnes North Carolina State University, Peter Brusilovsky University of Pittsburgh, Thomas Price North Carolina State University, Cliff Shaffer Virginia Tech, Ken Koedinger Carnegie Mellon University