A term matching strategy for item-banks integration

Po Jen Chuang, Ming Chao Chiang, Chu-Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Term matching is one of applications of pattern matching for comparing strings. This paper presents a strategy of term matching based on a tree structure for integrating item-banks. An item-bank consists of question items from which the contents are connected to. Contents of a text book are divided into concepts, followed by the tree structure, while each node contains terms that describes the concepts. Comparing the terms of question items and contents, item-banks can be integrated. To evaluate the performance of the proposed method, contents of two grades have been used on the learning process. The experimental results showed that the proposed algorithm can provide an extremely high quality result in terms of both the relevance of items and the computation time in Chinese item sets. In addition, the experimental results also showed that the accuracy rate of the item-bank described herein ranges from 93.3% to 94.8%.

Original languageEnglish
Title of host publicationInnovation for Applied Science and Technology
Pages3290-3294
Number of pages5
DOIs
Publication statusPublished - 2013 Feb 20
Event2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
Duration: 2012 Nov 22012 Nov 6

Publication series

NameApplied Mechanics and Materials
Volume284-287
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
CountryTaiwan
CityKaohsiung
Period12-11-0212-11-06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'A term matching strategy for item-banks integration'. Together they form a unique fingerprint.

Cite this