Evaluation of Mistake Choices in Quiz Creation Support System for Multiple-Choice Question Format with Mistake Answer Information

Bibliographic Information

Other Title
  • 誤回答情報を用いた多肢選択形式作問支援システムにおける誤答選択肢の評価

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Description

In recent years, there is a growing problem for a lot of labor of quiz creation in test creation field such as information technology engineer examination and TOEIC. There is a growing need for creation of multiple-choice question in test creation field because the question format can be scored automatically and managed easily. Therefore, It's often the case that they go on to multiple-choice question. However, the creation of incorrect answer choices similar to a correct answer choice requires specialized experience and a lot of labor. In order to solve this problem, we had been proposing about quiz creation support system by automatic generation of the incorrect answers. Our related systems generate a quiz using knowledge base constructed using information on the web. Furthermore, the construction of knowledge base which manages the similarity between words requires a great deal of labor.Here we proposed a method of constructing knowledge base using wrong answers of a written question and developed an automatic generation system of incorrect answer choices using the knowledge base. The system want to be accuracy enhancement of automatically create mistake choices used mistake answer information and similar question in past question and infomation on the web in the future. In this paper, we evaluate validity of multiple-choice question from the system automatically create mistake choices used mistake answer information. This research is aimed at local knowledge exam called Morioka Monoshiri Kentei Shiken(Moriken). In result of trial experiment, we indicated the wrong answer can use in order to generate incorrect answer choices automatically.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2014 (13), 1-9, 2014-02-01

    Information Processing Society of Japan (IPSJ)

Details 詳細情報について

  • CRID
    1571135652907703424
  • NII Article ID
    110009660297
  • NII Book ID
    AN10096193
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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