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Application of ROC Curve Analysis for Predicting Students' Passing Grade in a Course Based on Prerequisite Grades

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dc.creator Lyublinskaya, Irina
dc.creator Orynbassar, Alibek
dc.creator Sapazhanov, Yershat
dc.creator Kadyrov, Shirali
dc.date 2022-06-01T00:00:00Z
dc.date.accessioned 2023-01-09T11:58:33Z
dc.date.available 2023-01-09T11:58:33Z
dc.identifier 11589a64-2496-478e-b4e8-12074f39da11
dc.identifier 10.3390/math10122084
dc.identifier https://avesis.sdu.edu.tr/publication/details/11589a64-2496-478e-b4e8-12074f39da11/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/97569
dc.description Determining prerequisite requirements is vital for successful curriculum development and student on-schedule completion of the course of study. This study adapts the Receiver Operating Characteristic (ROC) curve analysis to determine a threshold grade in a prerequisite course necessary for passing the next course in a sequence. This method was tested on a dataset of Calculus 1 and Calculus 2 grades of 164 undergraduate students majoring in mathematics at a private university in Kazakhstan. The results showed that while the currently used practice of setting prerequisite grade requirements is accurately identifying successful completions of Calculus 2, the ROC method is more accurate in identifying possible failures in Calculus 2. The findings also indicate that prior completion of Calculus 1 is positively associated with success in a Calculus 2 course. Thus, this study contributes to the field of mathematics education by providing a new data-driven methodology for determining the optimal threshold grade for mathematics prerequisite courses.
dc.language eng
dc.rights info:eu-repo/semantics/openAccess
dc.title Application of ROC Curve Analysis for Predicting Students' Passing Grade in a Course Based on Prerequisite Grades
dc.type info:eu-repo/semantics/article


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