Data analytics as a tool for modeling and evaluating educational policies
DOI:
https://doi.org/10.26507/paper.4596Keywords:
policy evaluation, methodological guide, data analytics, quality, organizational modeling, e-learning, learning management systemsAbstract
This study presents the implementation of a model for evaluating institutional policies supported by data analytics. The development follows the Open Collaboration in Policy Modeling (OCOPOMO) methodology, which proposes an innovative approach that integrates scenario development and formal policy modeling through an Information and Communication Technologies (ICT) toolbox. As a result, the model enables the evaluation and simulation of institutional policies and the estimation of their influence on student behavior within learning management systems (LMS) at higher education institutions (HEIs). To validate the proposed model, real anonymized data were extracted from the information systems of a HEI. These data were used to test the evaluation framework and to analyze the implementation of a specific institutional policy, with the aim of identifying and mitigating potential risks associated with its execution.
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