التفاصيل البيبلوغرافية
| العنوان: |
SDP@US1.0 - Dataset for Student Dropout Prediction |
| المؤلفون: |
Stefano Faralli (10762803), Bardh Prenkaj (7474130), Paola Velardi (493006), Damiano Distante (8919782) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Knowledge Representation and Machine Learning, learning analytics, distance learning, student dropout prediction, machine learning, dataset |
| الوصف: |
Dataset UnitelmaSapienza - Version 1.0 (May 2021) Description: This is the dataset from the article "Hidden Space Deep Sequential Risk Prediction on Student Trajectories" by Bardh Prenkaj, Damiano Distante, Stefano Faralli and Paola Velardi (under review) Disclaimer: Due to privacy protection regulations, all data are aggregated and fully anonymized. Dataset Description: The zip contains 13 folders, each folder contains the timeseries (timeseries.csv) of a specific learning course from the University of Rome Unitelma Sapienza. Each row of a timeseries.csv file corresponds to a student. Each column is a two dimensional numpy array, which corresponds to 365 days of interactions of the student with the e-learning platform. The last column corresponds to the probability of drop-out (see the above indicated paper for more information on how this probability is thresholded to obtain a binary ground truth). This dataset can be directly used as input for the code we released at http://iim.di.uniroma1.it/projects/hsdsrpst/ When using this dataset in your work please cite the paper it is associated to. Authors: Bardh Prenkaj - Sapienza University of Rome, Italy Damiano Distante - University of Rome Unitelma Sapienza, Italy Stefano Faralli - University of Rome Unitelma Sapienza, Italy Paola Velardi - Sapienza University of Rome, Italy License: Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/deed.en For any question regarding the dataset and the source code please contact: Bardh Prenkaj (prenkaj@di.uniroma1.it) |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/UnitelmaSapienza_1_0_zip/14554137 |
| DOI: |
10.6084/m9.figshare.14554137.v4 |
| الاتاحة: |
https://doi.org/10.6084/m9.figshare.14554137.v4 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.FB9B8396 |
| قاعدة البيانات: |
BASE |