Semantic-Map-Based Approach to Designing an Insight Problem Solving Assistant

In the current study the concept of an insight problem solving Assistant is developed. Assistant will be able to help students in solving problems by offering general strategies while taking into account student's emotional and cognitive state, evaluated based on behavior and self-report. At the core of the assistant is a semantic map, that assigns motivational and emotional appraisals to particular strategies, stored in the database. In this study, a prototype of such semantic map was constructed. 11 participants took part in the questioning, which aim was to collect the ranking of strategies on several subjective scales. The ranking data was subject to the principal component analysis. Results revealed the semantics of main dimensions of the map. Principles, on which the Assistant based on the built semantic map will operate, are described.