Abstract
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.
Highlights
The implementation of new technologies and practices into education currently represents the greatest support for the development of learner’s cognitive and intellectual abilities
The aim of the paper was to propose a way of predicting student success based on his behavior in
The method of predicting the student’s grade could be used to modify the course or method of grading students based on the correlation between the attendance of study materials and the method of grading students based on the correlation between the attendance of study materials the grade
Summary
The implementation of new technologies and practices into education currently represents the greatest support for the development of learner’s cognitive and intellectual abilities. A virtual university system enables to create a virtual classroom on the web. Such systems combine learning management skills with student collaboration capabilities to support learning abilities such as exercises, discussions and grading. Due to the increasing popularity of distance learning, a number of software tools for distance learning for web browsers have been developed. These systems have been used at various universities and departments. The static structure of information on the web, whose task is to provide information, has long been succeeded. More and more web software systems are being created that are more complex than ever. The goal is to present personalized information to the user, in other words, information that is relevant to the user in a way that is best suited for that user [1]
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