Constructing personal concept map automatically via Correlative Test-Items Structure

Li Yu Lee, Yu Shih Lin, Chih Ping Chu

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

6 Citations (Scopus)

Abstract

Concept map model has been widely used in e-learning for various applications. However, in the past researches, there are few attentions paid on constructing the personal concept map for diagnosing learner's learning status. Actually, it is difficult to construct the individual concept maps to reflect the real knowledge structure by learners themselves. To cope with this problem, this study proposes an approach based on Correlative Test-Items Structure to construct the personal concept map automatically. Firstly, according to the standard concept map from expert, questions for examination to test learners' abilities are formulated. After collecting individual learner's answers, an algorithm based on association rule is used to construct the personal concept map automatically, including the learning degree of each interrelated concept and independent concept. Finally, comparing with the standard concept map of expert, a near-optimal guidance learning path for adaptive leaning is derived.

Original languageEnglish
Title of host publication2012 International Conference on Information Technology Based Higher Education and Training, ITHET 2012
DOIs
Publication statusPublished - 2012 Sep 28
Event2012 International Conference on Information Technology Based Higher Education and Training, ITHET 2012 - Istanbul, Turkey
Duration: 2012 Jun 212012 Jun 23

Publication series

Name2012 International Conference on Information Technology Based Higher Education and Training, ITHET 2012

Conference

Conference2012 International Conference on Information Technology Based Higher Education and Training, ITHET 2012
CountryTurkey
CityIstanbul
Period12-06-2112-06-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Education

Fingerprint Dive into the research topics of 'Constructing personal concept map automatically via Correlative Test-Items Structure'. Together they form a unique fingerprint.

Cite this