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JACIII Vol.19 No.1 pp. 152-157
doi: 10.20965/jaciii.2015.p0152
(2015)

Paper:

Supporting System for Quiz in Large Class – Automatic Keyword Extraction and Browsing Interface –

Haruhiko Takase*, Hiroharu Kawanaka*, and Shinji Tsuruoka**

*Graduate School of Engineering, Mie University, 1577 Kurima-Machiya, Tsu, Mie 514-8507, Japan

**Graduate School of Regional Innovation Studies, Mie University, 1577 Kurima-Machiya, Tsu, Mie 514-8507, Japan

Received:
October 15, 2013
Accepted:
July 25, 2014
Published:
January 20, 2015
Keywords:
e-learning, keyword extraction, text mining, natural language processing
Abstract

We focus on developing an e-learning system that supports the grasping of misunderstanding from descriptive answers. We propose real-time keyword extraction and an interface for grasping misunderstanding based on extracted keywords. The system extracts keywords without extra information. Teachers find majormisunderstandings by using the proposed interface, which consists of two views – keyword and description. Using these views, teachers browse answers in three steps – finding keywords, reading around keywords, and reading full answers. We use experiments to demonstrate the effectiveness of our system, this proposed keyword extraction extracts expected words. Subjects evaluate the proposed interface for its effectiveness in grasping misunderstandings. Using our proposed, teachers found major misunderstandings quickly and easily.

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Last updated on Jun. 27, 2017