Assessing motivation to individualize reinforcement and reinforcers for an intelligent tutor

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Abstract

Personalized learning with technology is in full demand across all context. Learning occurs through motivation therefore, personalizing motivation is key to enhancing learning rate and retention for the learner. Supplying the intelligent tutors with key information not will advance the familiarity of indi-vidual’s motivational factors and interest for individualizing motivation. Building this relationship stems from a streamlined Motivational Assessment Tool (MAT), aimed at assessing several motivation factors. The Motivation Assessment Tool is based on the interconnectedness of motivational factors with personality. The creation of the assessment allows the intelligent tutor to implement reinforcers that influence motivational level based off individual variances such as personality.

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APA

Lameier, E., Reinerman-Jones, L., Boyce, M. W., & Biddle, E. (2017). Assessing motivation to individualize reinforcement and reinforcers for an intelligent tutor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10285 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II, pp. 175–184). Springer Verlag. https://doi.org/10.1007/978-3-319-58625-0_12

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