Unistudium 2022: students groups logs on moodle

Citation Author(s):
Alfredo
Milani
University of Perugia
Giulio
Biondi
0000-0002-1854-2196
Valentina
Franzoni
0000-0002-1854-2196
Submitted by:
Alfredo Milani
Last updated:
Sat, 09/14/2024 - 15:49
DOI:
10.21227/3k76-z181
Data Format:
*.zip;*.csv; *.txt
License:
Creative Commons Attribution
118 Views
Categories:
Artificial Intelligence
Education and Learning Technologies
Social Sciences
Keywords:
artificial intelligence; user model, user interaction, elearning, educational students engagement
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Abstract 

The UNISTUDIUM dataset contains the logs collected by Unistudium, the University of Perugia elearning platform based on moodle, a open source software for learning management systems (https://moodle.org).

The collected logs record interactions with the platform of students attending 4 courses during the time period of one semester, from 1st September to 31st December. 

The platform support blended learning, providing teaching material to courses in presence delivered at University of Perugia.  Data are completely anonymized.. iUNISTUDIUM s also available in Open Access form at Zenodo repository at https://zenodo.org/records/13763174   .

The dataset has been developed as part of the research activity of the scientific research group KITLab - Knowledge and Information Technology Laboratory (https://www.dmi.unipg.it/kitlab/).  KIT Lab is member of the CLAIRE Network: The Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE)

The UNISTUDIUM dataset is also available in Open Access form at Zenodo  repository at https://zenodo.org/records/13763174   .

Instructions: 

Unzip the file and you will obtain two files:

  • README a text  filedescribing the data fields
  • .CSV file containing the actual dataset

Comments

The UNISTUDIUM dataset is also available in Open Access form at Zenodo  repository at https://zenodo.org/records/13763174   

Submitted by Alfredo Milani on Sat, 09/14/2024 - 15:47

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