engleski

Process parameters discovery based on application of k-means algorithm - a real case experimental study

This paper describes the application of the k- means algorithm on educational data to detect processes in the e-learning environment at a Higher Education institution in Croatia. Based on the interpretation of analysed data sets, two illustrative examples of process models are given, showing time reference and activity frequency as valuable process parameters extractable from raw data. The goal of this paper is to explore the application of a grouping method over educational logs with the aim to identify potential process parameters needed to understand student behaviour in accessing teaching material.

process discovery ; process parameters ; k-means ; educational event logs

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