A Data Repository for the EDM Community: The PSLC DataShop
By K. Koedinger, Ryan Shaun Joazeiro de Baker, Kyle Cunningham, A. Skogsholm, Brett Leber, John C. Stamper. 2010
532 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Education
View Paper: https://www.semanticscholar.org/paper/c2d3a1661a97f10ad29d2ea56e09981e4cb758e1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Vincent A. W. M. M. Aleven
- K. Koedinger
- Bruce M. McLaren
- Ryan Shaun Joazeiro de Baker
- Kenneth Holstein
- Elizabeth Mclaughlin
- Roger Azevedo
- Tamara van Gog
In Education
- Souhaib Aammou
- Amal Asselman
- Mohamed Khaldi
- Cristóbal Romero
- Ryan Shaun Joazeiro de Baker
- Sebastián Ventura
- K. Koedinger
- Vincent A. W. M. M. Aleven
Citations in the corpus
- Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity (2019, methodology): “These logs are recorded to DataShop, a major educational data repository (Koedinger et al., 2010).”
- Enhancing the prediction of student performance based on the machine learning XGBoost algorithm (2021, methodology): “The dataset used in our experiment can be found on PSLC DataShop 3 (Koedinger et al., 2010).”
- Dynamic Key-Value Memory Networks for Knowledge Tracing (2016, background): “Statics2011: Statics(4) is from a college-level engineering statics course with 189,297 trials, 333 students and 1,223 exercises tags [26, 12].”
- New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization (2013, background): “DataShop, an open data repository at the Pittsburgh Science of Learning Center(1) (Koedinger et al. 2011), currently stores more than 350 datasets that include over 200,000 student hours of data from thousands of students at an average of 10 seconds per action, yielding more than 90 million stored s”
- Educational data mining and learning analytics: An updated survey (2020, methodology): “The majority of traditional Data Mining techniques including but not limited to visualization, classification, clustering, and association analysis techniques have been already applied successfully in the educational domain (Baker, 2010).”
- Learning analytics and educational data mining: towards communication and collaboration (2012, unknown): “H.2.8 [Database Applications]: Data Mining”
- Knowledge Tracing: A Survey (2022, unknown): “2 STATICS2011 Dataset This dataset is available upon request and contains students’ interactions with questions related to the Engineering Statics course7 taught at the Carnegie Mellon University during Fall 2011 [60].”