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

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Published May 1, 2013
DOI https://doi.org/10.5281/zenodo.3554611
Genaro Rebolledo-Mendez
University of Veracruz
Benedict Du Boulay
University of Sussex
Rosemary Luckin
Institute of Education
Edgard Ivan Benitez-Guerrero
University of Veracruz

Abstract

Tutoring systems are a common tool for delivering educational content and recent advances in this field include the detection of and reaction to learners' motivation. A data set derived from interactions in a tutoring system and its motivationally-aware variant provided opportunities to discover patterns of behavior in connection with motivational feedback. The data collected consists of individual log files capturing the behavior of the learner during his/her interaction with the system. To mine this data, techniques were employed to discover patterns of interest when motivational scaffolding was provided by the tutoring system. A graph was constructed to visualize these patterns and to identify significant transitions derived from dyads of actions. This is a first step towards analyzing behaviors when motivational scaffolding is provided in a tutoring system. Work for the future 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. Journal of Educational Data Mining, 5(1), 72–103. https://doi.org/10.5281/zenodo.3554611
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Keywords

intelligent tutoring system, motivation, pattern mining, likelihood metric

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Issue
Vol. 5 No. 1 (2013): Special Issue on Educational Data Mining on Motivation, Meta-cognition, and Self-regulated Learning
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