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Applying an Assessment Agent to Evaluate the Learning Effectiveness

  • K. Robert Lai
  • Chung Hsien Lan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4053)

Abstract

This study presents an assessment agent that models collaborative learning as multi-issue agent negotiation using fuzzy constraints for peer assessment. The proposed method aggregates student marks to avoid the subjective judgments and unfair assessments. Experimental results indicated that students and instructors generally acknowledged the peer assessment as a valuable process for enhancing student critical thinking skills and improving learning performance.

Keywords

Fuzzy Membership Function Evaluation Concept Fuzzy Constraint Valuable Process Assessment Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • K. Robert Lai
    • 1
  • Chung Hsien Lan
    • 1
  1. 1.Department of Computer Science and EngineeringYuan Ze UniversityTaiwan

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