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Most educational institutions nowadays digitally manage their students' data, which are maintained on servers on campus. We intend to use these data in order to provide academic guidance. Thus, in this study, we forecast students' future academic records using smart card based time recording data and grade data. We use a Bayesian network as our forecasting method. We accordingly revised the data and...
In this study, the authors forecast students’ future academic records using past attendance recording data and grade data. We use a Bayesian network as forecasting method. During construction of the Bayesian network forecasting model, unnecessary variables become noise and so lower the forecasting accuracy. Therefore, to improve the forecasting accuracy, we used information gain to reduce the number...
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