User Profiling in Intelligent Tutoring Systems Based on Myers-Briggs Personality Types

This paper is the result of research continuance on adaptive user profiling, based on learning predispositions. As the psychometric conditions appear to play a crucial role in the tutoring systems, there emerges a need of constructing efficient instruments, that would help to improve the effectiveness of electronic teaching. It particularly concerns user profiling, grounded on the premises derived from individual personality characteristics. Considering users' preferences, stemmed from personality types, as qualities that make them differ from one another, there comes along the necessity of different tutoring method applying. In our approach we use Myers-Briggs Type Indicator (MBTI) as the basis for the development of the novel, preferences-oriented instruments, suitable for implementation in tutoring programs. MBTI has been adapted to the learning environment and complemented with the predisposition matrix instrument, to create user archetypes for intelligent profiling in tutoring systems.