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  • 标题:Visualization and Experiential Learning of Mathematics for Data Analytics
  • 本地全文:下载
  • 作者:Sitalakshmi Venkatraman ; Anthony Overmars ; Fiona Wahr
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2019
  • 卷号:7
  • 期号:3
  • 页码:37-49
  • DOI:10.3390/computation7030037
  • 出版社:MDPI Publishing
  • 摘要:The information and communications technology (ICT) industry workforce is now required to deal with ’Big Data’, and there is a need to fill the computational skill shortage in data analytics. The integrated skills of combining computer and mathematics capabilities is much sought after by every industry embarking on digital transformation. Studies conducted internationally and by the Australian Industry Group show the requirements for improving computational skills in the workplace. This research takes a positive step to address this issue by introducing visualization and experiential learning in the ICT curriculum in order to uplift mathematics skills required for data analytics. We present the use of such innovative methods adopted in a higher education setting. The results and positive impact achieved through this study are presented.
  • 关键词:employability; computational skills; data analytics; higher education; visualization; experiential learning employability ; computational skills ; data analytics ; higher education ; visualization ; experiential learning
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