Learning to be Data Smart

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

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’.
Original languageEnglish
Title of host publication25th International Conference on Computers in Education
Subtitle of host publicationTechnology and Innovation: Computer-based Educational Systems for the 21st Century
EditorsYusuke Hayashi
Place of PublicationTaiwan
PublisherAsia Pacific Society for Computers in Education (APSCE)
Pages623-630
Number of pages8
Publication statusPublished - 4 Dec 2017
Event25th International Conference on Computers in Education: Technology and Innovation: Computer-based Educational Systems for the 21st Century - Rydges Hotel, Christchurch, New Zealand
Duration: 4 Dec 20178 Dec 2017
http://icce2017.canterbury.ac.nz/

Conference

Conference25th International Conference on Computers in Education
Abbreviated titleICCE2017
CountryNew Zealand
CityChristchurch
Period4/12/178/12/17
Internet address

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Cite this

Mason, J., & Khan, K. (2017). Learning to be Data Smart. In Y. Hayashi (Ed.), 25th International Conference on Computers in Education: Technology and Innovation: Computer-based Educational Systems for the 21st Century (pp. 623-630). Taiwan: Asia Pacific Society for Computers in Education (APSCE).