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Building on a long history of sharing de-identified learner data with academic researchers, dozens of academic research projects and published articles in educational data science and related areas make use of data from Carnegie Learning's MATHia intelligent tutoring systems, formerly Cognitive Tutor (Ritter et al., 2007). In addition to datasets from MATHia, a dataset is also now available from LiveHint, a chat-based app that provides support for learners using Carnegie Learning's physical work-texts (Fisher et al., 2020). Datasets from MATHia and LiveHint are available via Carnegie Mellon's LearnSphere DataShop (Koedinger et al., 2011).
Fancsali & Ritter (2020) provide details about MATHia data as well as learning engineering and data science research efforts that make use of these data.
In Summer 2021, Carnegie Learning released a new collection of datasets (a DataShop "project," with anonymized learner data from 5,000+ learners) from the MATHia platform to DataShop. Check it out here: Carnegie Learning MATHia 2019-2020.
Please reach out to Stephen Fancsali for more information.
References
Fancsali, S.E., Ritter, S. (2020). Data-Intensive Learning Engineering & Applied Education Research with Carnegie Learning’s MATHia Platform. In V. Rus & S.E. Fancsali (Eds.) Proceedings of the The First Workshop of the Learner Data Institute (@ EDM2020): Big Data, Research Challenges, & Science Convergence in Educational Data Science.
Fisher, J., Fancsali, S.E., Lewis, A., Fisher, V., Hausmann, R.G.M., Pavelko, M., Finocchi, S.B., Ritter, S. (2020). LiveHint: Intelligent Digital Support for Analog Learning Experiences. In S. Sosnovsky, P. Brusilovsky, R. Baraniuk, A. Lan (Eds.) iTextbooks 2020: Proceedings of the Second International Workshop on Intelligent Textbooks 2020 (@ AIED 2020). CEUR Workshop Proceedings, Vol. 2674. pp. 80-89.
Koedinger, K.R., Baker, R.S.J.d., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J. (2011). A Data Repository for the EDM Community: The PSLC DataShop. In C. Romero, S. Ventura, M. Pechenizkiy, and R.S.J.d. Baker (Eds.) Handbook of Educational Data Mining, CRC, Boca Raton, FL, 43-55.
Ritter, S., Anderson, J.R., Koedinger, K.R., and Corbett, A.T. (2007). Cognitive Tutor: Applied Research in Mathematics Education. Psychonomic Bulletin & Review, 14, 249-255.
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