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Journal cover: Electronic Library, The

Electronic Library, The

ISSN: 0264-0473

Online from: 1983

Subject Area: Library and Information Studies

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Modeling agent-based performance evaluation for e-learning systems


Document Information:
Title:Modeling agent-based performance evaluation for e-learning systems
Author(s):Hsiao-Ya Chiu, (Department of Management Information, Yu Da College of Business, Chaochiao Township, Taiwan), Chieh-Chung Sheng, (Department of Management Information, Yu Da College of Business, Chaochiao Township, Taiwan), An-Pin Chen, (Institute of Information Management, National Chiao Tung University, Chaochiao Township, Taiwan)
Citation:Hsiao-Ya Chiu, Chieh-Chung Sheng, An-Pin Chen, (2008) "Modeling agent-based performance evaluation for e-learning systems", Electronic Library, The, Vol. 26 Iss: 3, pp.345 - 362
Keywords:Computer based learning, Performance appraisal
Article type:Conceptual paper
DOI:10.1108/02640470810879491 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Abstract:

Purpose – The purpose of this paper is to show how rapidly evolving information technology has dramatically changed the knowledge dissemination process. However, many of them lack a generic evaluation process to verify the system's performance. In an attempt to solve this problem, this study seeks to propose an agent-based model to provide a dynamic, flexible framework for performance evaluations of e-learning projects.

Design/methodology/approach – The paper proposes an agent-based model which comprises a learning model, balanced scorecard and option-pricing approach to evaluate the performance of an e-learning project.

Findings – E-learning could be the paradigm shift of traditional education. Thus, the paper provides organizations with a methodology to deliberately evaluate their e-learning projects by treating it as a continuous improvement process.

Originality/value – The original contributions in this paper are: application of a balance scorecard to weigh different perspectives; application of a real options approach for risk management of e-learning projects; construction of an agent-based system for autonomous qualitative/quantitative information gathering.



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