Abstract
Motivation is a key factor for learning and retention. Motivation in learning, which refers to an individual’s desire to learn, is influenced by a number of factors (e.g., interest, self-regulation abilities, self-efficacy, personality) and is further complicated by an individual’s sensitivity to those factors. Thus, identifying a learner’s general and fine-grained motivation factors is essential to designing individualized adaptations or interventions for implementation in an Intelligent Tutoring System (ITS). The present study addressed the development and validation of the Motivational Assessment Tool to identify correlations between motivation variables and factors from education and psychology. The results indicate an overlap between the scales, which implies a higher-order dimension structure not captured by existing instruments, enabling instructional designers to use the MAT to evaluate the motivation support provided by an ITS overall and identify motivation needs for individual learners.
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Lameier, E., Reinerman-Jones, L., Matthews, G., Biddle, E., Boyce, M. (2018). Motivational Assessment Tool (MAT): Enabling Personalized Learning to Enhance Motivation. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_9
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