Publication at Faculty of Mathematics and Physics |
2013
Abstract
The present article describes the results of a medium-scale (N = 77) study, using log files from open remote laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe secondary school students’ behavior during their work in virtual environment. Simple data mining and text mining techniques were used to reveal individual user’s behavioral patterns, to detect disengagement, and to compare learning outcomes and student preferences.
The results will be used mainly to improve systems’ adaptability to students’ requirements and capacities and to reveal typical navigation, orientation, learning and behavioral problems of individual students within the above mentioned virtual learning environment.