Learning to be Data Smart
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’.Downloads
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Published
2017-12-04
Conference Proceedings Volume
Section
Articles
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