Research Article
Building a Mobile Collaborative Learning Environment for the Identification and Classification of Real World Objects
@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
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).