engleski

FRAMEWORK FOR DISCRETE-EVENT SIMULATION MODELING SUPPORTED BY LMS DATA AND PROCESS MINING

The use of Learning Management Systems (LMS) generates a large amount of data that could, among other purposes, be used to uncover hidden processes reflecting student learning behaviour. To gain valuable insights from the collected data and activities that occurred in the process, techniques such as data and process mining need to be employed. Apart from presenting the advantages of the advanced detection of student behaviour and processes based on the data from LMSs, this paper proposes a conceptual model for using the techniques to support the development of discrete-event simulation models in an educational environment. Additionally, research and practical challenges for successful integration of the presented concepts and techniques are elaborated.

learning management systems, learning analytics, educational data mining, educational process mining, discrete-event simulation model

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