UnitelmaSapienza_1_0.zip

<b>Dataset UnitelmaSapienza - Version 1.0 (May 2021)</b><br><br><b>Description: </b>this is the dataset from the article "Hidden Space Deep Sequential Risk Prediction on Student Trajectories" (under review)<br><b>Disclaimer:</b>Due to privacy protection regulations, all data are aggregated and fully anonymized.<b><br></b><b>Dataset Description:</b><br>The zip contains 13 folders, each folder contains the timeseries (timeseries.csv) of a specific learning course from the UnitelmaSapienza University of Rome.<br>Each row, of a timeseries.csv file, corresponds to a student. Each column is a two dimensional numpy array, which corresponds to the history of 365 days of interactions of the student with the platform.The last column corresponds to the probability of drop-out (see the paper for more information on how this probability is thresholded to obtain a binary ground truth).<br>This dataset can be directly used as input for the code we released at http://iim.di.uniroma1.it/projects/hsdsrpst/<br><br><b>Authors:</b><br>Bardh Prenkaj - Sapienza University of Rome, ItalyDamiano Distante - University of Rome Unitelma Sapienza, ItalyStefano Faralli - University of Rome Unitelma Sapienza, ItalyPaola Velardi - Sapienza University of Rome, Italy<br><br><b>License:</b> Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/deed.en<br><b>Contacts</b>:For any question regarding the dataset and the source code please contact:Bardh Prenkaj [e-mail]<br>