Learning to be Data Smart

Authors

  • Khalid KHAN Charles Darwin University, Australia Author
  • Jon MASON Charles Darwin University, Australia Author

Abstract

Recent advances in the computing power have brought the processing of Big Data at the door step of an individual at a personal level. Pattern recognition, decision making, and modelling are some of the few skills that can be employed to make sense of personal data. In this short paper, we summarize some of our findings that highlight data literacy as a critical competency for ‘smart learning’.

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Published

2017-12-04

How to Cite

Learning to be Data Smart . (2017). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2137