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’.
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 language | English |
|---|---|
| Title of host publication | 25th International Conference on Computers in Education |
| Subtitle of host publication | Technology and Innovation: Computer-based Educational Systems for the 21st Century |
| Editors | Yusuke Hayashi |
| Place of Publication | Taiwan |
| Publisher | Asia Pacific Society for Computers in Education (APSCE) |
| Pages | 623-630 |
| Number of pages | 8 |
| Publication status | Published - 4 Dec 2017 |
| Event | 25th 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 2017 → 8 Dec 2017 http://icce2017.canterbury.ac.nz/ |
Conference
| Conference | 25th International Conference on Computers in Education |
|---|---|
| Abbreviated title | ICCE2017 |
| Country | New Zealand |
| City | Christchurch |
| Period | 4/12/17 → 8/12/17 |
| 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).