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 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

References
AMES, C.A. 1984. Competitive, cooperative, and individualistic goal structures: A cognitive-motivational analysis. In Research on motivation in education: Vol 1. Student motivation, C.A. AMES AND R. AMES Eds. Academic Press, San Diego, CA, 177-207.

AMES, C.A. 1990. Motivation: What Teachers Need to Know. Teachers College Record 91, 409-421.

AMES, C.A. 1992. Classrooms: goals, structures, and student motivation. Journal of Educational Psychology 48, 261-271.

ARROYO, I., COOPER, D.G., BURLESON, W., WOOLF, B.P., MULDNER, K. AND CHRISTOPHERSON, R. 2009. Emotion Sensors Go To School. In Artificial Intelligence in Education, AIED IOS Press, Brighton, UK.

ASPINWALL, N.G. 1998. Rethinking the role of positive affect in self-regulation. Motivation and Emotion, 22, 1-32.

BAKER, R.S., CORBETT, A.T., KOEDINGER, K.R. AND WAGNER, A.Z. 2004. Off-task behavior in the cognitive tutor classroom: when students "game the system". In Proceedings of the SIGCHI conference on Human factors in computing systems ACM, Vienna, Austria, 383-390.

BOYER, K.E., PHILLIPS, R., WALLIS, M., VOUK, M. AND LESTER, J. 2008. Balancing Cognitive and Motivational Scaffolding in Tutorial Dialogue. In Intelligent Tutoring Systems (ITS) 2008, B.W.E. AL. Ed. Springer-Verlag, Montreal Canada, 239-249.

CALVO, R.A. AND D'MELLO, S.K. 2011. New Perspectives on Affect and Learning Technologies. Springer.

CHAFFAR, S. AND FRASSON, C. 2004. Inducing Optimal Emotional state for learning in Intelligent Tutoring Systems. In ITS 2004, J.C. LESTER AND R.M. VICARI Eds. Springer, 45-54.

CHEN, Z.H., DENG, Y.C., CHOU, C.Y. AND CHAN, T.W. 2005. Motivating learners by nurturing animal companions: My-pet and Our-pet. In 12th Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology, C.-K. LOOI, G. MCCALLA, B. BREDEWEG AND J. BREUKER Eds. IOS Press, 136-143.

D'MELLO, S., TAYLOR, R.S. AND GRAESSER, A. 2007. Monitoring affective trajectories during complex learning. In 29th Annual Cognitive Science Society, D.S. MCNAMARA AND J.G. TRAFTON Eds. Cognitive Science Society, Austin, TX, 203-208.

D'MELLO, S., OLNEY, A. AND PERSON, N. 2010. Mining Collaborative Patterns in Tutorial Dialogues. Journal of Educational Data Mining 2, 1-37.

DECI, E.L. 1975. Intrinsic motivation. Plenum Press, New York.

DEL SOLDATO, T. AND DU BOULAY, B. 1995. Implementation of motivational tactics in tutoring systems. International Journal of Artificial Intelligence in Education 6, 337-378.

DU BOULAY, B., AVRAMIDES, K., LUCKIN, R., MARTINEZ-MIRON, E., REBOLLEDO-MENDEZ, G. AND HARRIS, A. 2010. Towards Systems That Care: A Conceptual Framework based on Motivation, Metacognition and Affect. International Journal of Artificial Intelligence in Education 20.

DWECK, C.S. 1975. The role of expectations and attributions in the alleviation of learned helplessness. Journal of Personality and Social Psychology 31.

EREZ, A. AND ISEN, A. 2002. The influence of positive affect on the components of expectancy motivation. Journal of Applied Psychology 87, 1055–1067.

HAMMERTON, L. AND LUCKIN, R. 2001. How to help? Investigating children's opinions on help. In Workshop on Help Provision and Help-Seeking in Interactive Learning Environments, 10th International Conference on Artificial Intelligence in Education, San Antonio, TX, 22-33.

KAPOOR, A., BURLESON, W. AND PICARD, R.W. 2007. Automatic Prediction of Frustration. International Journal of Human-Computer Studies 65, 724-736.

LEPPER, M.R. AND CHABAY, R.W. 1988. Socializing the intelligent tutor: bringing empathy to computer tutors. In Learning Issues for Intelligent Tutoring Systems, H. MANDL AND A.M. LESGOLD Eds. Springer-Verlag, New York, 242-257.

LUCKIN, R. AND DU BOULAY, B. 1999. Ecolab: The Development and Evaluation of a Vygostskian Design Framework. International Journal of Artificial Intelligence 10, 198-220.

LUCKIN, R. AND HAMMERTON, L. 2002. Getting to know me: helping learners understand their own learning needs through Metacognitive scaffolding. In 6th International Conference on Intelligent Tutoring Systems, S.A. CERRI, G. GOUARDÈRES AND F. PARAGUAÇU Eds. Springer, Biarritz, France, 759-771.

MARTINEZ-MIRON, E., HARRIS, A., BOLAY, B.D., LUCKIN, R. AND YUILL, N. 2005. The role of learning goals in the design of ILE's: Some issues to consider. In 12th Conference on Artificial Intelligence in Education, C.-K. LOOI, G. MCCALLA, B. BREDEWEG AND J. BREUKER Eds. IOS Press, 427-434.

MCQUIGGAN, S.W. AND LESTER, J.C. 2007. Modeling and evaluating empathy in embodied companion agents. International Journal of Human-Computer Studies 65, 348-360.

MCQUIGGAN, S.W., ROWE, J.P. AND LESTER, J.C. 2008. The effects of empathetic virtual characters on presence in narrative-centered learning environments. In Proceedings of the Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, Florence, Italy. ACM.

NELSON-LE GALL, S. AND RESNICH, L. 1998. Help seeking, achievement motivation and the social practice of intelligence in school. In Strategic help-seeking. Implications for learning and teaching, S.A. KARABENICK Ed. Lawrence Erlbaum Associates, Inc., London.

OHLSSON, S., DI EUGENIO, B., CHOW, B., FOSSATI, D., LU, X. AND KERSHAW, T. 2007. Beyond the code-and-count analysis of tutoring dialogues. In Artificial Intelligence in Education, R. LUCKIN, K. KOEDINGER AND J. GREER Eds. IOS Press, Los Angeles, CA.

QU, L. AND JOHNSON, W.L. 2005. Detecting the Learner's Motivational States in An Interactive Learning Environment. In AIED 2005, C.-K. LOOI, G. MACCALLA, B. BREDEWEG AND J. BREUKER Eds. IOS Press, 547-554.

REBOLLEDO-MENDEZ, G. 2003. Motivational Modelling in a Vygotskyan ITS. In 11th International Conference on Artificial Intelligence in Education, U. HOPPE, F. VERDEJO AND J. KAY Eds. IOS Press, Sydney, Australia, 537-538.

REBOLLEDO-MENDEZ, G., DU BOULAY, B. AND LUCKIN, R. 2005. "Be bold and take a challenge": Could motivational strategies improve help-seeking? In 12th International Conference on Artificial Intelligence in Education, C.-K. LOOI, G. MCCALLA, B. BREDEWEG AND J. BREUKER Eds. IOS Press, Amsterdam, 459-466.

REBOLLEDO-MENDEZ, G., DU BOULAY, B. AND LUCKIN, R. 2006. Motivating the Learner: An Empirical Evaluation. In Intelligent Tutoring Systems, M. IKEDA, K. ASHLEY AND T.-W. CHAN Eds. Springer Berlin / Heidelberg, 545-554.

REBOLLEDO-MENDEZ, G., DU BOULAY, B. AND LUCKIN, R. 2006. Motivating the learner: an empirical evaluation. In 8th International Conference on Intelligent Tutoring Systems, M. IKEDA, K. AHSLEY AND T.W. CHAN Eds. Springer-Verlag, 545-554.

REBOLLEDO-MENDEZ, G., DU BOULAY, B. AND LUCKIN, R. 2011. Designing Adaptive Motivational Scaffolding for a Tutoring System. In New Perspectives on Affect and Learning Technologies, R.A. CALVO AND S. D'MELLO Eds. Springer, New York.

ROBERTSON, J. 2004. An analysis of the narrative features of computer games authored by children. In Narrative and Interactive Learning Environments, P. BRNA Ed., Edinburgh, Scotland, 33-40.

RODRIGO, M.M.T., REBOLLEDO-MENDEZ, G., BAKER, R.S.J.D., BOULAY, B.D., SUGAY, J.O., LIM, S.A.L., ESPEJO-LAHOZ, M.B. AND LUCKIN, R. 2008. The Effects of Motivational Modeling on Affect in an Intelligent Tutoring System. In Proceedings of the 16th International Conference on Computers in Education ICCE 2008, TaiPei, Taiwan2008.

VROOM, V.H. 1964. Work and motivation. Wiley, New York.

WANG, N. AND JOHNSON, W.L. 2008. The Politeness Effect in an Intelligent Foreign Language Tutoring System. In Intelligent Tutoring Systems, ITS'08 Springer, Montreal, Canada.

WEINER, B. 1984. Principles for a theory of student motivation and their application within an attributional framework. In Research on motivation in Education: student motivation, R. AMES AND C.A. AMES Eds. Academic Press.
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