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International Conference on E-Learning, E-Education, and Online Training

eLEOT 2014: E-Learning, E-Education, and Online Training pp 41–48Cite as

Building a Mobile Collaborative Learning Environment for the Identification and Classification of Real World Objects

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Abstract

This paper describes the theoretical framework and in-progress implementation of the Collaborative Identification, Retrieval, and Classification Learning Environment (CIRCLE). CIRCLE uses recent research findings in collaboration, constructivism, mobile development, and retrieval learning to develop a multi-user tool for the identification and classification of real world objects. CIRCLE supports group efforts at taxonomy building by providing a framework for data gathering in the field and scientific hypothesizing and debate in a virtual laboratory. Future plans include a pilot usability study and classroom experiments to determine the effectiveness of the approach towards learning the identification of rocks and minerals (in a geology lab), weeds (in a weed identification course), and animals (in an ecology class).

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Author information

Authors and Affiliations

  1. Computer Science Department, North Dakota State University, Fargo, ND, USA

    Otto Borchert & Brian M. Slator

Authors
  1. Otto Borchert
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  2. Brian M. Slator
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Correspondence to Otto Borchert .

Editor information

Editors and Affiliations

  1. University of Baltimore, Baltimore, USA

    Giovanni Vincenti

  2. IBAM - Istituto per i Beni Archeologici e Monumentali, Italian National Research Council, Roma, Italy

    Alberto Bucciero

  3. Instituto Sperior de Engenharia do Porto, Porto, Portugal

    Carlos Vaz de Carvalho

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Borchert, O., Slator, B.M. (2014). Building a Mobile Collaborative Learning Environment for the Identification and Classification of Real World Objects. In: Vincenti, G., Bucciero, A., Vaz de Carvalho, C. (eds) E-Learning, E-Education, and Online Training. eLEOT 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-319-13293-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-13293-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13292-1

  • Online ISBN: 978-3-319-13293-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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