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Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments

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Intelligent Tutoring Systems (ITS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9684))

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Abstract

Open-ended computer-based learning environments (OELEs) can be powerful learning tools in that they help students develop effective self-regulated learning (SRL) and problem solving skills. In this study, middle school students used the SimSelf OELE to build causal models to learn about climate science. We study their learning and model building approaches by calculating a suite of behavioral metrics derived using coherence analysis (CA) that are used as features on which to group students by their type of learning behavior. We also analyze changes in these metrics over time, and compare these results to results from other studies with a different OELE to see determine generalizable their findings are across different OELE systems.

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Acknowledgements

This work has been supported by Institute of Educational Sciences CASL Grant #R305A120186 and the National Science Foundation’s IIS Award #0904387.

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Institute of Software Integrated Systems, Vanderbilt University, 1025 16th Avenue South, Nashville, TN, 37212, USA

    Brian Gauch & Gautam Biswas

Authors
  1. Brian Gauch
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  2. Gautam Biswas
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Corresponding author

Correspondence to Brian Gauch .

Editor information

Editors and Affiliations

  1. Roma Tre University , Rome, Italy

    Alessandro Micarelli

  2. Carnegie Mellon University , Pittsburgh, Pennsylvania, USA

    John Stamper

  3. Neoanalysis Ltd , Athens, Greece

    Kitty Panourgia

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© 2016 Springer International Publishing Switzerland

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Gauch, B., Biswas, G. (2016). Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-39583-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39582-1

  • Online ISBN: 978-3-319-39583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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