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.
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.
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.
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.
Chiu, H., Sheng, C. and Chen, A. (2008), "Modeling agent‐based performance evaluation for e‐learning systems", The Electronic Library, Vol. 26 No. 3, pp. 345-362. https://doi.org/10.1108/02640470810879491Download as .RIS
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