Record Details

DESIGN OF A MOBILE E-LEARNING FORECASTING SYSTEM BASED ON A CASE STUDY USING MULTIPLE INTELLIGENCE ANALYSIS

International Journal of Electronic Commerce Studies

View Archive Info
 
 
Field Value
 
Title DESIGN OF A MOBILE E-LEARNING FORECASTING SYSTEM BASED ON A CASE STUDY USING MULTIPLE INTELLIGENCE ANALYSIS
 
Creator Kaewkiriya, Thongchai; Thai-Nichi Institute of Technology
 
Subject E-Learning; Adaptive; Multiple Intelligence; Data Mining; Recommendation system
 
Description This research aimed to design a mobile e-Learning forecasting system based on case studies using Multiple Intelligence analysis. The framework is divided into six modules. The first module describes a Patterns-based module. The second module describes the student Mapping module. The third module presents the Forecasting module. The fourth module presents the Learning portal module. The fifth module explains the Adaptive module. The last module presents the learning content based on the case study modules. In addition this paper introduces an example of an operational framework. The evaluation is comprised of two sections. The first section evaluates student achievement. The second section evaluates student prediction precision. The results of the first evaluation showed that students who studied via the mobile e-Learning forecasting system are more successful than students who studied via the normal e-Learning system with significance at 0.05 (Group 1, t = 7.577, p < 0.05; Group 2, t = 3.684, p < 0.05; Group 3, t = 15.190, p < 0.05). For the second section, the results considered the prediction precision percentage. We compared three algorithms: 1) J48 algorithm, 2) ID3 algorithm, and the 3) Naïve Bayes algorithm. The J48 algorithm had the highest value at 88.286%.To cite this document: Thongchai Kaewkiriya, "Design of a mobile e-learning forecasting system based on a case study using multiple intelligence analysis", International Journal of Electronic Commerce Studies, Vol.7, No.2, pp.189-200, 2016.Permanent link to this document:http://dx.doi.org/10.7903/ijecs.1413 
 
Publisher Academy of Taiwan Information Systems Research
 
Contributor —
 
Date 2016-12-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
—
 
Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1413
 
Source International Journal of Electronic Commerce Studies; Vol 7, No 2 (2016); 189-200
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1413/323
 
Rights Copyright (c) 2016 International Journal of Electronic Commerce Studies