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Mathematical Problems in Engineering
Volume 2013, Article ID 896027, 8 pages
Research Article

Building a Smart E-Portfolio Platform for Optimal E-Learning Objects Acquisition

1Department of Information Management, National Taichung University of Science and Technology, No. 129, Section 3, Sanmin Road, Taichung 404, Taiwan
2Ph. D. Program of Technology Management, Chung Hua University, No. 707, Section 2, Wufu Road, Hsinchu 300, Taiwan
3Department of Industrial Management, Chung Hua University, No. 707, Section 2, Wufu Road, Hsinchu 300, Taiwan

Received 2 July 2013; Accepted 30 September 2013

Academic Editor: Yi-Chung Hu

Copyright © 2013 Chih-Kun Ke et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In modern education, an e-portfolio platform helps students in acquiring e-learning objects in a learning activity. Quality is an important consideration in evaluating the desirable e-learning object. Finding a means of determining a high quality e-learning object from a large number of candidate e-learning objects is an important requirement. To assist student learning in a modern e-portfolio platform, this work proposed an optimal selection approach determining a reasonable e-learning object from various candidate e-learning objects. An optimal selection approach which uses advanced information techniques is proposed. Each e-learning object undergoes a formalization process. An Information Retrieval (IR) technique extracts and analyses key concepts from the student’s previous learning contexts. A context-based utility model computes the expected utility values of various e-learning objects based on the extracted key concepts. The expected utility values of e-learning objects are used in a multicriteria decision analysis to determine the optimal selection order of the candidate e-learning objects. The main contribution of this work is the demonstration of an effective e-learning object selection method which is easy to implement within an e-portfolio platform and which makes it smarter.