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Open University Learning Analytics dataset.

Jakub Kuzilek1,2, Martin Hlosta1, Zdenek Zdrahal1,2

  • 1Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK.

Scientific Data
|November 29, 2017
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Summary
This summary is machine-generated.

This study introduces a unique dataset for Learning Analytics, combining student demographics and Virtual Learning Environment (VLE) clickstream data. This resource supports research into optimizing educational experiences and learning materials.

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Area of Science:

  • Educational Technology
  • Data Science
  • Learning Analytics

Background:

  • Learning Analytics involves collecting and analyzing learner data to enhance educational experiences and optimize learning materials.
  • Existing research requires comprehensive datasets that link student demographics with their online learning behaviors.

Purpose of the Study:

  • To introduce and describe a novel, publicly available dataset designed to support research in Learning Analytics.
  • To facilitate the analysis of student behavior and its relationship with academic performance within a Virtual Learning Environment (VLE).

Main Methods:

  • Development of a dataset comprising demographic information and aggregated clickstream data from 22 Open University courses.
  • Inclusion of student assessment results and daily interaction logs within the VLE, totaling over 10 million entries.
  • Dataset made available under a CC-BY 4.0 license for open access research.

Main Results:

  • The dataset integrates demographic data with detailed student interaction logs from a Virtual Learning Environment (VLE).
  • It encompasses data for 32,593 students across 22 courses, including assessment results and 10,655,280 interaction log entries.
  • The dataset provides a rich resource for analyzing student behavior patterns and their impact on learning outcomes.

Conclusions:

  • The presented dataset is a valuable, unique resource for the Learning Analytics community.
  • It enables in-depth investigation into student engagement, behavior, and performance in online learning environments.
  • The open availability of this dataset promotes further research and innovation in educational data analysis.