Development of a Multiple-Choice Question Generation Supporting System for Information Processing Subjects

Abstract

　We developed a multiple-choice question generation supporting system for information processing subjects. The system operates using a browser, and the user first specifies a correct word. By using DBpedia for the system to obtain a summary of the correct word and related words and by editing and selecting the query results, the user finally acquires the question sentence and wrong choices. Evaluation experiments showed that the creation time was shorter by using the system.