Mining Data From Interactions With a Motivational-aware Tutoring System Using Data Visualization

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Published May 1, 2013
Genaro Rebolledo-Mendez Benedict Du Boulay Rosemary Luckin Edgard Ivan Benitez-Guerrero

Abstract

Tutoring systems are a common tool for delivering educational content and recent advances in this field includethe detection of and reaction to learners motivation. A data set derived from interactions in a tutoring systemand its motivationally-aware variant provided opportunities to discover patterns of behavior in connection withmotivational feedback. The data collected consists of individual log files capturing the behavior of the learnerduring his/her interaction with the system. To mine this data, techniques were employed to discover patterns ofinterest when motivational scaffolding was provided by the tutoring system. A graph was constructed tovisualize these patterns and to identify significant transitions derived from dyads of actions. This is a first steptowards analyzing behaviors when motivational scaffolding is provided in a tutoring system. Work for thefuture consists of investigating the patterns impact on learning with the motivationally-aware tutoring system.

How to Cite

Rebolledo-Mendez, G., Boulay, B. D., Luckin, R., & Benitez-Guerrero, E. I. (2013). Mining Data From Interactions With a Motivational-aware Tutoring System Using Data Visualization. JEDM | Journal of Educational Data Mining, 5(1), 72-103. Retrieved from https://jedm.educationaldatamining.org/index.php/JEDM/article/view/31
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