PSLC datashop: a data analysis service for the learning science community

Authors:
John Stamper;Ken Koedinger;Ryan S J d. Baker;Alida Skogsholm;Brett Leber;Jim Rankin;Sandy Demi
Affiliations:
Human-Computer Interaction Institute, Carnegie Mellon University;Human-Computer Interaction Institute, Carnegie Mellon University;Department of Social Science and Policy Studies, Worcester Polytechnic Institute;Human-Computer Interaction Institute, Carnegie Mellon University;Human-Computer Interaction Institute, Carnegie Mellon University;Human-Computer Interaction Institute, Carnegie Mellon University;Human-Computer Interaction Institute, Carnegie Mellon University
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Year:
2010

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Abstract

The Pittsburgh Science of Learning Center's DataShop is an open data repository and set of associated visualization and analysis tools DataShop has data from thousands of students deriving from interactions with on-line course materials and intelligent tutoring systems The data is fine-grained, with student actions recorded roughly every 20 seconds, and it is longitudinal, spanning semester or yearlong courses Currently over 188 datasets are stored including over 42 million student actions and over 150,000 student hours of data Most student actions are “coded” meaning they are not only graded as correct or incorrect, but are categorized in terms of the hypothesized competencies or knowledge components needed to perform that action.