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Evaluating an Affective e-Learning System Using a Fuzzy Decision Making Method

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 11))

Abstract

This paper presents how a fuzzy multi-criteria decision making theory has been used for evaluating an e-learning system with affective interaction capabilities. More specifically, as a test-bed for our evaluation we have used an e-learning system that teaches a programming language. This programming language is similar to the well known Logo programming language, while it incorporates a more user-friendly graphical user interface with the presence of animated tutoring characters. In our evaluation we have compared the affective system with a standard programming language learning environment and the results have revealed a general preference of the users in using the affective system than the standard system.

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Kabassi, K., Alepis, E., Virvou, M. (2011). Evaluating an Affective e-Learning System Using a Fuzzy Decision Making Method. In: Tsihrintzis, G.A., Virvou, M., Jain, L.C., Howlett, R.J. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22158-3_18

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  • DOI: https://doi.org/10.1007/978-3-642-22158-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22157-6

  • Online ISBN: 978-3-642-22158-3

  • eBook Packages: EngineeringEngineering (R0)

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