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

Author:

Takase Haruhiko, ,Kawanaka Hiroharu,Tsuruoka Shinji,

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.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference12 articles.

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