Open University Learning Analytics dataset
Donated on 12/20/2015
Open University Learning Analytics Dataset contains data about courses, students and their interactions with Virtual Learning Environment for seven selected courses and more than 30000 students.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification, Regression, Clustering
Feature Type
Integer
# Instances
-
# Features
-
Dataset Information
Additional Information
Open University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) for seven selected courses (called modules). Presentations of courses start in February and October - they are marked by 'B' and 'J' respectively. The dataset consists of tables connected using unique identifiers. Dataset is stored in several csv files. More information, examples and news can be found at: https://analyse.kmi.open.ac.uk/open_dataset
Has Missing Values?
Yes
Variable Information
see description file
Dataset Files
| File | Size |
|---|---|
| studentVle.csv | 432.8 MB |
| studentAssessment.csv | 5.4 MB |
| studentInfo.csv | 3.3 MB |
| studentRegistration.csv | 1.1 MB |
| vle.csv | 264.3 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset open_university_learning_analytics_dataset = fetch_ucirepo(id=349) # data (as pandas dataframes) X = open_university_learning_analytics_dataset.data.features y = open_university_learning_analytics_dataset.data.targets # metadata print(open_university_learning_analytics_dataset.metadata) # variable information print(open_university_learning_analytics_dataset.variables)
Kuzilek, J., Hlosta, M., & Zdrahal, Z. (2015). Open University Learning Analytics dataset [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5KK69.
Creators
Jakub Kuzilek
Martin Hlosta
Zdenek Zdrahal
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.