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Open Educational Resource Assessments (OPERA)

  • Conference paper
Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

“Share, Remix, Reuse - Legally”, the tagline for creative commons, cogently captures the ethos of peer production. Through the rapid growth of open educational resources (OER), peer production has begun to play a major role in how we teach and learn. OER are teaching and learning resources that reside in the public domain or have been released under licensing schemes that allow their free use or customization by others. They encompass a multiplicity of media types, including lesson plans, animations, videos, scientific data, etc. OER can be created by scientific institutions, by university faculty, by K-12 teachers, or by learners. Here, we focus on K-12 teachers engaging in peer-production for instructional purposes.

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References

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Author information

Authors and Affiliations

  1. Institute of Cognitive Science, University of Colorado,  

    Tamara Sumner & Philipp Wetzler

  2. Department of Educational Psychology, University of Utah,  

    Kirsten Butcher

Authors
  1. Tamara Sumner
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  2. Kirsten Butcher
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  3. Philipp Wetzler
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Vincent Aleven  & Jack Mostow  & 

  2. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

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© 2010 Springer-Verlag Berlin Heidelberg

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Sumner, T., Butcher, K., Wetzler, P. (2010). Open Educational Resource Assessments (OPERA). In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_88

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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