Open Data, Private Learners: A De-Identified Dataset for Learning Analytics Research
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This repository contains the dataset files and the code used for feature engineering in the paper: Tiukhova, E., Van Landuyt, D., Baesens, B., & Snoeck, M. (2026). Open data, private learners: a de-identified student activity and performance dataset for learning analytics. Scientific Data. When using the dataset, please cite the paper below: Tiukhova, E., Van Landuyt, D., Baesens, B., & Snoeck, M. (2026). Open data, private learners: a de-identified student activity and performance dataset for learning analytics. Scientific Data. @article{tiukhova2026open, title={Open data, private learners: a de-identified student activity and performance dataset for learning analytics}, author={Tiukhova, Elena and Van Landuyt, Dimitri and Baesens, Bart and Snoeck, Monique}, journal={Scientific Data}, year={2026}, publisher={Nature Publishing Group UK London}}
