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Framework for Learner Assessment in Learning Games

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Adaptive and Adaptable Learning (EC-TEL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9891))

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Abstract

Learner assessment in learning games (LG) is an interesting research area for both academia and industry. The play traces resulting from the learner’s activity in LGs with large state spaces and a large amount of free interactions, are hard to analyze and to interpret by teachers. In this paper, we present a framework to assist the building of an expert’s solving process that is the base of the algorithm that analyzes player’s traces and generates pedagogical labels about the learner’s behavior.

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Notes

  1. 1.

    RumbleBlocks: http://rumbleblocks.etc.cmu.edu/, accessed April 4, 2016.

  2. 2.

    Refraction: http://games.cs.washington.edu/refraction/refraction.html, accessed April 4, 2016.

  3. 3.

    Tiled: http://www.mapeditor.org/, accessed April 4, 2016.

References

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    Chapter  Google Scholar 

  3. Peterson, J.L.: Petri Net Theory and Modeling of Systems. Prentice Hall, Reading (1981)

    MATH  Google Scholar 

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Correspondence to Mathieu Muratet .

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© 2016 Springer International Publishing Switzerland

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Muratet, M., Yessad, A., Carron, T. (2016). Framework for Learner Assessment in Learning Games. In: Verbert, K., Sharples, M., Klobučar, T. (eds) Adaptive and Adaptable Learning. EC-TEL 2016. Lecture Notes in Computer Science(), vol 9891. Springer, Cham. https://doi.org/10.1007/978-3-319-45153-4_77

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  • DOI: https://doi.org/10.1007/978-3-319-45153-4_77

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45152-7

  • Online ISBN: 978-3-319-45153-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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