Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative
DOI:
https://doi.org/10.18608/jla.2014.11.3Keywords:
Learning analytics, open source, data mining, learning management system, portability, student retention, course completionAbstract
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and mining student data to predict academic risk, and report results on the predictive performance of those models, their portability across pilot programs at partner institutions, and the results of interventions on at-risk students.
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Published
2014-05-01
How to Cite
Jayaprakash, S. M., Moody, E. W., Lauría, E. J., Regan, J. R., & Baron, J. D. (2014). Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. Journal of Learning Analytics, 1(1), 6-47. https://doi.org/10.18608/jla.2014.11.3
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Research Papers
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.