The Impact of Note-Taking on the Learning Process in Intelligent Tutoring System Tutomat
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Abstract The research investigates how note-taking practice affects the learning process in Tutomat, an intelligent tutoring system. The complete analysis includes (i) the identification of learning analytics variables to describe student-Tutomat interaction; (ii) the description of experimental student groups using learning analytics variables; (iii) data-driven clustering and (iv) the comparison of the experimental groups and revealed clusters. The results show that there is a difference in how a student interacts with Tutomat based on note-taking practice. It is revealed that the note-taking practice can be detected using the proposed learning analytics variables with the prediction accuracy of the clustering approach of 85 %.
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2020 ◽
Vol 6
(1)
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2014 ◽
Vol 62
(5)
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pp. 507-528
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2014 ◽
pp. 660-661
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2016 ◽
Vol 22
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pp. 1-22
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2020 ◽
Vol 18
(2)
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pp. 73-89
2009 ◽
Vol 36
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pp. 1229-1239
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