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Michaela Drozdová et al.<br />

very few students possess the depth <strong>learning</strong> style. This can be explained by wrongly designed<br />

questions in the questionnaire or by the composition of the set of the tested students.<br />

Results of cluster analysis which discovered five dominant clusters divided according to type of<br />

perception tell us that this property is very important for definition of virtual students: set of properties<br />

that describes group of students with similar properties. Finding of these virtual students will be the<br />

goal of the future work. The definition of virtual students can be very useful in eLearning. It is much<br />

easier to design the course for only five types of students instead of trying to design it for every<br />

individual student and all possible combinations of his properties.<br />

Analysis of principal components revealed that evaluated properties except type of perception are<br />

independent. For practical use it is more appropriate to distinguish the four types of perception,<br />

because there is clear way of using this information in eLearning.<br />

LPQ questionnaire proved to be suitable for using directly in adaptive <strong>learning</strong> process. It will be<br />

presented to untested students at the beginning of the lecture. We plan to do more analysis of results<br />

of this questionnaire on students that will participate in adaptive <strong>learning</strong>.<br />

Acknowledgments<br />

This publication is supported by the ESF project OP VK CZ.1.07/2.3.00/09.0019 title Adaptive<br />

individualization of study through eLearning.<br />

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