Learning to be data smart

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

    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 publicationICCE 2017 - 25th International Conference on Computers in Education
    Subtitle of host publicationTechnology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings
    EditorsYusuke Hayashi, Thepchai Supnithi, Moffat Mathews, Su Luan Wong, Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Wenli Chen, Jie-Chi Yang
    Place of PublicationTaiwan
    PublisherAsia-Pacific Society for Computers in Education
    Pages623-630
    Number of pages8
    ISBN (Electronic)978-986-94012-6-5
    ISBN (Print)9789869401227
    Publication statusPublished - 4 Dec 2017
    Event25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, ICCE 2017 - Christchurch, New Zealand
    Duration: 4 Dec 20178 Dec 2017

    Publication series

    NameICCE 2017 - 25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, Workshop Proceedings

    Conference

    Conference25th International Conference on Computers in Education: Technology and Innovation: Computer-Based Educational Systems for the 21st Century, ICCE 2017
    Country/TerritoryNew Zealand
    CityChristchurch
    Period4/12/178/12/17

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