An Evaluation of Framework of Synthesize on an Adaptive E-Learning Guidance System Base on Multiple Intelligence
Thongchai Kaewkiriya 1, 2, Nuttavee Utakrit 1, Sakchai Tangwannawit 1, and Monchai Tiantong 1
1. King Mongkut’s University of Technology North Bangkok/Faculty of Information Technology, Bangkok, Thailand
2. Thai-Nichi Institute of Technology/Department of Information Technology, Bangkok, Thailand
2. Thai-Nichi Institute of Technology/Department of Information Technology, Bangkok, Thailand
Abstract—The objective of this paper consists of two sections. The first is to evaluate the framework of adaptive e-learning recommendation system based on Multiple Intelligence. The second of this paper was to synthesize on an adaptive e-learning recommendation System based on Multiple Intelligence and learner profile. This paper propose conceptual model of adaptive e-learning guidance system based on Multiple Intelligence. The concept framework divided into five modules. (1) We introduce rule base module. (2) We explain recommendation module for students. (3) We present the LMS module. (4) We present the adaptive module. (5) We describe the content module which is based on Multiple Intelligence. The process of evaluation consists of three steps. The first step define group of experts for evaluate framework. The second step create questionnaire for appropriate evaluation. The last step present the synthetic framework to experts for appropriate evaluation. The result from experts are very appropriate with the average score equal to 4.34/5 (S.D.=0.52).
Index Terms—e-learning, adaptive, multiple intelligence, data mining, recommendation system, evaluation model
Cite: Thongchai Kaewkiriya, Nuttavee Utakrit, Sakchai Tangwannawit, and Monchai Tiantong, "An Evaluation of Framework of Synthesize on an Adaptive E-Learning Guidance System Base on Multiple Intelligence," International Journal of Electronics and Electrical Engineering, Vol. 2, No. 2, pp. 111-115, June 2014. doi: 10.12720/ijeee.2.2.111-115
Index Terms—e-learning, adaptive, multiple intelligence, data mining, recommendation system, evaluation model
Cite: Thongchai Kaewkiriya, Nuttavee Utakrit, Sakchai Tangwannawit, and Monchai Tiantong, "An Evaluation of Framework of Synthesize on an Adaptive E-Learning Guidance System Base on Multiple Intelligence," International Journal of Electronics and Electrical Engineering, Vol. 2, No. 2, pp. 111-115, June 2014. doi: 10.12720/ijeee.2.2.111-115
Array