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Physical Sciences and Mathematics Commons

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University of Wollongong

Data

2017

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Data Mining In Educational Technology Classroom Research: Can It Make A Contribution?, Charoula Angeli, Sarah Katherine Howard, Jun Ma, Jie Yang, Paul A. Kirschner Jan 2017

Data Mining In Educational Technology Classroom Research: Can It Make A Contribution?, Charoula Angeli, Sarah Katherine Howard, Jun Ma, Jie Yang, Paul A. Kirschner

SMART Infrastructure Facility - Papers

The paper addresses and explains some of the key questions about the use of data mining in educational technology classroom research. Two examples of use of data mining techniques, namely, association rules mining and fuzzy representations are presented, from a study conducted in Europe and another in Australia. Both of these studies examine student learning, behaviors, and experiences within computer-supported classroom activities. In the first study, the technique of association rules mining was used to understand better how learners with different cognitive types interacted with a simulation to solve a problem. Association rules mining was found to be a useful …


Investigating The Accuracy Of Georeferenced Social Media Data For Flood Mapping: The Petajakarta.Org Case Study, Robert Ighodaro Ogie, Hugh I. Forehead Jan 2017

Investigating The Accuracy Of Georeferenced Social Media Data For Flood Mapping: The Petajakarta.Org Case Study, Robert Ighodaro Ogie, Hugh I. Forehead

SMART Infrastructure Facility - Papers

Georeferenced social media data are gaining increased application in creating near real-time flood maps needed to improve situational awareness in data-starved regions. However, there is growing concern that the georeferenced locations of flood-related social media contents do not always correspond to the actual locations of the flooding event. But to what extent is this true? Without this knowledge, it is difficult to ascertain the accuracy of flood maps created using georeferenced social media contents. This study aims to improve understanding of the extent to which georeferenced locations of social media flood reports deviate from the actual locations of floods. The …