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FutureLearn multi-run MOOC dataset (23 runs, 5 courses, 245,255 learners) with clickstream and demographic features

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A dataset assembled from 23 FutureLearn course runs across five University of Warwick MOOCs, containing learner clickstream activity, completion timestamps, derived time-spent measures, and optional demographic survey data for studying online-course participation and revenue-related outcomes.

Components

Claims

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Key Sources

  • Alshehri, M., Alamri, A., Cristea, A. I., & Stewart, C. D. (2021). Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. International Journal of Artificial Intelligence in Education, 31, 215–233. https://doi.org/10.1007/s40593-021-00246-2
Page metadata
Field Value
type product
id futurelearn-multi-run-mooc-dataset-23-runs-5-courses-245255-learners-with-clickstream-and
title FutureLearn multi-run MOOC dataset (23 runs, 5 courses, 245,255 learners) with clickstream and demographic features
description A dataset assembled from 23 FutureLearn course runs across five University of Warwick MOOCs, containing learner clickstream activity, completion timestamps, derived time-spent measures, and optional demographic survey data for studying online-course participation and revenue-related outcomes.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

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