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| Paper Abstract and Keywords | ||
| Presentation | 2018-07-02 13:50 Generation of Curriculum-Based Multiple Choice Questions Using Linked Data Fumika Okuhara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC)  AI2018-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, Landscape leaning is required for learning activities in the entire subject and the relevant subject as a whole. Especially, because of the necessity of cross-cutting learning to relate subjects based on the curriculum and setting goal line based on the difficulty level for learning achievement evaluation, it is useful that the multiple choice questions that is landscape and suitable difficulty level for the learner. Meanwhile, it is costly to manually generate and collect appropriate multipole choice questions for questioners and also learners. Therefore, in this research, we propose a method for automatic generation of curriculum-based multiple choice questions using Linked Data, which enables landscape questions generation and difficulty adjustment. Linked data is graph data that can link structured data with each other, and is used as a technology for data integration and utilization. Attempts have also been made to use Linked Data as resources for teaching material generation, and the possibility of using Semantic Web technology in the education field has been verified. In this paper, we aim to realize the automatic questions generation system by implementing questions and choices generation approach using curriculum and knowledge base. And the valuation method for generation questions system, indexes on each evaluation item such as validity, difficulty level, landscape level. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Landscape Level / Difficulty Level / Linked Data / Multiple Choice Question / Semantic Web / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 116, AI2018-7, pp. 35-40, July 2018. | |
| Paper # | AI2018-7 | |
| Date of Issue | 2018-06-25 (AI) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | AI2018-7 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2018-07-02 - 2018-07-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2018-07-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generation of Curriculum-Based Multiple Choice Questions Using Linked Data |
| Sub Title (in English) | |
| Keyword(1) | Landscape Level |
| Keyword(2) | Difficulty Level |
| Keyword(3) | Linked Data |
| Keyword(4) | Multiple Choice Question |
| Keyword(5) | Semantic Web |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Fumika Okuhara |
| 1st Author's Affiliation | The University of Electro-Communications (UEC) |
| 2nd Author's Name | Yuichi Sei |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC) |
| 3rd Author's Name | Yasuyuki Tahara |
| 3rd Author's Affiliation | The University of Electro-Communications (UEC) |
| 4th Author's Name | Akihiko Ohsuga |
| 4th Author's Affiliation | The University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2018-07-02 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | AI |
| Paper # | AI2018-7 |
| Volume (vol) | vol.118 |
| Number (no) | no.116 |
| Page | pp.35-40 |
| #Pages | 6 |
| Date of Issue | 2018-06-25 (AI) |
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