Mining academic data to improve college student retention: an open source perspective
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Open academic analytics initiative: initial research findings
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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This paper synthesizes some of the technical decisions, design strategies & concepts developed during the execution of Open Academic Analytics Initiative (OAAI), a research program aimed at improving student retention rates in colleges, by deploying an open-source academic early alert system to identify the students at academic risk. The paper explains the prototype demonstration of the system, detailing several dimensions of data mining & analysis such as: data integration, predictive modelling and scoring with reporting. The paper should be relevant to practitioners and academicians who want to better understand the implementation of an OAAI academic early-alert system.