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Modeling e-Learning System Performance Evaluation with Agent-Based Approach

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

Abstract

Rapidly evolving information technology has dramatically changed the knowledge dissemination process. A proper e-learning environment is one of the most important knowledge tools in modern organizations. However, many of them lack a generic evaluation process to verify performance. In an attempt to solve this problem, this study propose an agent-based model which compose learning model, balanced scorecard and the option pricing approach to provide an dynamic, flexible framework for e-learning project’s performance evaluations.

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© 2007 Springer-Verlag Berlin Heidelberg

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Chiu, HY., Chung, S.C., Chen, AP. (2007). Modeling e-Learning System Performance Evaluation with Agent-Based Approach. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_12

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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