Assessing Motivation To Individualize Reinforcement And Reinforcers For An Intelligent Tutor

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

The Motivational Assessment Tool (Mat) Development And Validation Study

The purpose of the present research is to validate a measure of motivation collimated from an individual’s motivational, affective, and personality traits. The Motivational Assessment Tool (MAT) is being developed to assess multiple variables for an Intelligent Tutoring System (ITS) to deploy individualized adaptations through various levels of learner profiling. This first study factor analyzed a pool of 303 questions aimed at reducing, refining, and developing scales. Overall, the results of the first factor analysis shows that the MAT is composed of 28 factors. The produced scales are supported by correlations with other factors identified in psychology. The MAT is envisioned to provide inputs into an intelligent tutor’s pedagogical strategy to adapt its learning methods to support the learner’s motivational type