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    Using IBM SPSS Modeler to Improve Undergraduate Mathematical Modelling Competence

    Access Status
    Fulltext not available
    Authors
    Xiao, X.
    Xu, Honglei
    Xu, S.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Xiao, X. and Xu, H. and Xu, S. 2015. Using IBM SPSS Modeler to Improve Undergraduate Mathematical Modelling Competence. Computer Applications in Engineering Education. 23 (4): pp. 603-609.
    Source Title
    Computer Applications in Engineering Education
    Additional URLs
    http://onlinelibrary.wiley.com/doi/10.1002/cae.21632/epdf
    ISSN
    1061-3773
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/63342
    Collection
    • Curtin Research Publications
    Abstract

    This paper is concerned with the problem of improving undergraduate mathematical modelling competence in the current big data world. Firstly, we review the renowned teacher's seven-step, student's four-step and a six-step modelling cycles to explain mathematical modelling competence. The six-step modelling cycle is also used in Common Core State Standards for Mathematics (CCSSM) in the United States. Based on these previous modelling cycles, we propose a new five-phase modelling cycle by use of the tool named IBM SPSS Modeler in accordance with Cross Industry Standard Process for Data Mining (CRISP-DM). A teaching case will be presented to apply these methodologies to undergraduates' mathematical modelling lessons. It is shown that teachers can use IBM SPSS Modeler to improve student's mathematical modelling competence by understanding and practicing the process of five-phase modelling.

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