Knowledge Externalization Based on Differences of Solutions for Automatic generation of Multiple-choice Question

Abstract

Abstract.We study about a method to describe knowledge for generating an adequate number of multiple-choice questions. We focus on the fact that instructors can easily explain concrete multiple-choice questions, even if they cannot describe the domain knowledge completely. We propose the Environment of Abstract Rule (EAR), which enables an instructor to describe abstract knowledge by explaining the difference among some concrete multiple-choice questions, and by representing the knowledge in the form of a diagram. In this paper, we describe the concept of EAR and report the results of a preliminary experiment in which we explored whether instructors could describe knowledge easily. As a result, we suggest that the EAR has the potential for generating appropriate knowledge.