Open University Learning Analytics dataset

By Jakub Kuzilek, Martin Hlosta, Z. Zdráhal. Scientific Data, 2017

486 citations recorded by the source corpus.

Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students’ interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license. Design Type(s) time series design • data integration objective • observation design Measurement Type(s) learning behavior Technology Type(s) digital curation Factor Type(s) temporal_interval Sample Characteristic(s) Homo sapiens Design Type(s) time series design • data integration objective • observation design Measurement Type(s) learning behavior Technology Type(s) digital curation Factor Type(s) temporal_interval Sample Characteristic(s) Homo sapiens Machine-accessible metadata file describing the reported data (ISA-Tab format)

Subfields: Artificial Intelligence, Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/a26111e72751420e0444d7a2c640b26441edf74c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Science Applications

Citations in the corpus

Predicting academic performance of students from VLE big data using deep learning models (2020, methodology): “The dataset is retrieved from the openly accessible OULA which provides demographic, clickstream behavior and assessment performance of 32,593 students over a course period of 9 months, from 2014-2015 (Kuzilek et al., 2017).”
Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores (2018, methodology): “e course table contains information about the courses in which students are enrolled [68].”
A survey on datasets for fairness‐aware machine learning (2021, methodology): “The Open University Learning Analytics (OULAD) dataset 21 was collected from the OU analysis project (Kuzilek, Hlosta, & Zdrahal, 2017) of The Open University (England) in 2013 - 2014.”