Student-at-risk detection by current learning performance indicators using Bayesian networks

T. A. Kustitskaya; A. A. Kytmanov; M. V. Noskov

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arXiv · 2004.09774

Student-at-risk detection by current learning performance indicators using Bayesian networks

T. A. Kustitskaya·A. A. Kytmanov·M. V. Noskov

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Abstract

The present article is focused on the problem of prediction of student failures with the purpose of their possible prevention by timely introducing supportive measures. We propose a concept for building a predictive model based on Bayesian networks for an academic course or module taught in a blended learning format. Our empirical studies confirm that the proposed approach is perspective for the development of an early warning system for various stakeholders of the educational process.

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T. A. Kustitskaya, A. A. Kytmanov, M. V. Noskov. 2020-04-21. Student-at-risk detection by current learning performance indicators using Bayesian networks. https://arxiv.org/abs/2004.09774

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