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Predicting Student Grades Based on Their Usage of LMS Moodle Using Petri Nets

Department of Informatics, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, 94974 Nitra, Slovakia
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Appl. Sci. 2019, 9(20), 4211; https://doi.org/10.3390/app9204211
Received: 21 August 2019 / Revised: 1 October 2019 / Accepted: 3 October 2019 / Published: 9 October 2019
This paper deals with the possibility of predicting student’s grades based on their usage of Learning Management System (LMS) Moodle. It is important to know what materials would be best suited in LMS as study materials and what materials could be improved or removed based on the student’s usage of the materials and the final grade. In order to do this, the correlations between access to materials and the final grade were observed. These correlations could also be used to predict the grades of the student. Therefore, a model with Petri nets was created that based on the highest correlation would be able to predict what grade the student would get based on his usage of LMS. Obviously, it would not be possible to predict every result with certainty, however, more precise predictions could be obtained with higher correlations. View Full-Text
Keywords: petri nets; simulation; transitions; probability; concurrency; LMS petri nets; simulation; transitions; probability; concurrency; LMS
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Balogh, Z.; Kuchárik, M. Predicting Student Grades Based on Their Usage of LMS Moodle Using Petri Nets. Appl. Sci. 2019, 9, 4211.

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