Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of a Learner Profiling System Using Multidimensional Characteristics Analysis

Authors
Park, KinamJi, HyesungLim, Heuiseok
Issue Date
2015
Publisher
HINDAWI LTD
Citation
MATHEMATICAL PROBLEMS IN ENGINEERING, v.2015
Indexed
SCIE
SCOPUS
Journal Title
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume
2015
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/133196
DOI
10.1155/2015/652623
ISSN
1024-123X
Abstract
We propose a learner profiling system that uses the multidimensional characteristic analysis of learners. For this purpose, a realtime 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE