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

被引：0

作者：

Takase, Haruhiko ^{[1
]}

Kawanaka, Hiroharu ^{[1
]}

Tsuruoka, Shinji ^{[2
]}

机构：

[1] Mie Univ, Grad Sch Engn, 1577 Kurima Machiya, Tsu, Mie 5148507, Japan

[2] Mie Univ, Grad Sch Reg Innovat Studies, Tsu, Mie 5148507, Japan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2015年 / 19卷 / 01期

关键词：

e-learning; keyword extraction; text mining; natural language processing;

D O I：

10.20965/jaciii.2015.p0152

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 major misunderstandings 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.

引用

页码：150 / 155

页数：6

共 11 条

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