Systematization of Rating Scales for Understanding of Emotional Constructs on Learning Behaviors

Abstract

Recently, the research in intelligent educational systems has much interest in exploring data from academic settings to understand learners behavior and mental states. We have been developing the Intelligent Mentoring System which performs automatic mentoring by using an Intelligent Tutoring System to scaffold learning activities and an ontology to provide a specification of learner models. To provide learner models in mentoring, the ontology describes qualities and quality values which represent scale of learners emotions in academic settings. To specify relationships among the qualities, this study organized action to appraise the emotions on the basis of Control-value theory and proposed their ontological descriptions.