Electronic learning support system based on analogy reuse
Tokuro Matsuo, Takayuki Fujimoto · 2008
In design on a new teaching system, the challenging issues are including how the system intelligently supports learners. This paper describes a methodology and a system design on the intelligent instruction support in software engineering education by using the conception of human information reuse. To enhance learners’ understands, we design a novel instructional model based on the analogical thinking in AI-aided education. The analogical thinking-based instruction consists of three following concrete teaching methods, (1) Analogy dropping method, (2) Self role-play method, and (3) Anthropomorphic thinking method. Our proposed instruction system teaches learning issues based on them. Questionnaires for learners after instructions give the result of effective education in an actual trial. The contribution of this paper is to provide new education theory, the way of educational practice, and implementation of the system.