Development of a Learner Profiling System Using Multidimensional Characteristics Analysis

Kinam Park, Hyesung Ji, Heui Seok Lim

Research output: Contribution to journalArticle

Abstract

We propose a learner profiling system that uses the multidimensional characteristic analysis of learners. For this purpose, a real-time monitoring system for learners was developed and then used to extract information of the characteristics of learners that appear in learning environments. The extracted information on the characteristics of learners is automatically constructed into personalized learner profiles through the learner profiling system. The contents of learner profiles consist of the cognitive ability of learners, the learning condition, and teacher assessment. To verify the effectiveness of the proposed study method, profiles of actual learners were constructed, with 210 elementary school students as subjects. As a result, the group that learned using the learner profiling showed a significant level of satisfaction in comparison to the group that did not use learner profiling. From this, it was demonstrated that the learner profiling system proposed in this paper could enhance learning effectiveness.

Original languageEnglish
Article number652623
JournalMathematical Problems in Engineering
Volume2015
DOIs
Publication statusPublished - 2015

Fingerprint

Multidimensional Systems
Profiling
Students
Monitoring
Learning Environment
Monitoring System
Verify
Real-time
Profile

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

Cite this

Development of a Learner Profiling System Using Multidimensional Characteristics Analysis. / Park, Kinam; Ji, Hyesung; Lim, Heui Seok.

In: Mathematical Problems in Engineering, Vol. 2015, 652623, 2015.

Research output: Contribution to journalArticle

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