E-Learning, E-Education, and Online Training. First International Conference, eLEOT 2014, Bethesda, MD, USA, September 18-20, 2014, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-319-13293-8_5,
        author={Otto Borchert and Brian Slator},
        title={Building a Mobile Collaborative Learning Environment for the Identification and Classification of Real World Objects},
        proceedings={E-Learning, E-Education, and Online Training. First International Conference, eLEOT 2014, Bethesda, MD, USA, September 18-20, 2014, Revised Selected Papers},
        proceedings_a={ELEOT},
        year={2014},
        month={12},
        keywords={Collaborative learning Constructivism Mobile application Identification and classification games},
        doi={10.1007/978-3-319-13293-8_5}
    }
    
  • Otto Borchert
    Brian Slator
    Year: 2014
    Building a Mobile Collaborative Learning Environment for the Identification and Classification of Real World Objects
    ELEOT
    Springer
    DOI: 10.1007/978-3-319-13293-8_5
Otto Borchert1,*, Brian Slator1,*
  • 1: North Dakota State University
*Contact email: otto.borchert@ndsu.edu, brian.slator@ndsu.edu

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).