Presentation 2024-03-08
Proposal for a Method to Support the Preparation of Examination Questions Using ChatGPT and Linked Open Data
Tomomi Hirose, Takao Nakaguchi, Yimeng Sun, Masaharu Imai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Short sentence multiple-choice questions are used in The Common Test for University Admissions and qualification examinations. However, such questions are considered to be more burdensome for question writers than questions that only ask for words and phrases. In this study, we propose a method for generating short sentence multiple-choice questions from past questions in order to assist question writers. Using high school world history as the subject, we process data using ChatGPT and generate similar questions using Linked Open Data and other methods based on past questions from The Common Test for University Admissions (The National Center Test for University Admissions). As part of the evaluation of the method, verification of the generation results and verification experiments of work efficiency by utilizing ChatGPT will be conducted to confirm the effectiveness of the method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Generation of questions / Multiple choice questions / Past examination questions / Linked Open Data
Paper # SC2023-38
Date of Issue 2024-03-01 (SC)

Conference Information
Committee SC
Conference Date 2024/3/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kosaku Kimura(Fujitsu Lab.)
Vice Chair Takao Nakaguchi(KCGI)
Secretary Takao Nakaguchi(University of Tsukuba)
Assistant Shigeru Hosono(Tokyo Univ. of Tech.) / Koushi Ikegawa(Hitachi)

Paper Information
Registration To Technical Committee on Service Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal for a Method to Support the Preparation of Examination Questions Using ChatGPT and Linked Open Data
Sub Title (in English)
Keyword(1) Generation of questions
Keyword(2) Multiple choice questions
Keyword(3) Past examination questions
Keyword(4) Linked Open Data
1st Author's Name Tomomi Hirose
1st Author's Affiliation The Kyoto College of Graduate Studies for Informatics(KCGI)
2nd Author's Name Takao Nakaguchi
2nd Author's Affiliation The Kyoto College of Graduate Studies for Informatics(KCGI)
3rd Author's Name Yimeng Sun
3rd Author's Affiliation The Kyoto College of Graduate Studies for Informatics(KCGI)
4th Author's Name Masaharu Imai
4th Author's Affiliation The Kyoto College of Graduate Studies for Informatics(KCGI)
Date 2024-03-08
Paper # SC2023-38
Volume (vol) vol.123
Number (no) SC-415
Page pp.pp.21-26(SC),
#Pages 6
Date of Issue 2024-03-01 (SC)