Difference between revisions of "ISSS608 2016-17 T3 Assign MAO CHENXIN"
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--[[User:Chenxin.mao.2016|Chenxin.mao.2016]] ([[User talk:Chenxin.mao.2016|talk]]) 13:54, 3 July 2017 (SGT)--[[User:Chenxin.mao.2016|Chenxin.mao.2016]] ([[User talk:Chenxin.mao.2016|talk]]) 13:54, 3 July 2017 (SGT) | --[[User:Chenxin.mao.2016|Chenxin.mao.2016]] ([[User talk:Chenxin.mao.2016|talk]]) 13:54, 3 July 2017 (SGT)--[[User:Chenxin.mao.2016|Chenxin.mao.2016]] ([[User talk:Chenxin.mao.2016|talk]]) 13:54, 3 July 2017 (SGT) | ||
<h1>Dataset</h1> | <h1>Dataset</h1> | ||
| − | The dataset is taken from Visual Analytics Community: | + | The dataset is taken from Visual Analytics Community: VAST Challenge 2017 Mini Challenge 1.<references />[http://www.vacommunity.org/VAST+Challenge+2017+MC1], which is: |
“[an]Ongoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the relationships within the internal and external constructs of the model are analysed. Both the perception of colleagues’ opinion about Wikipedia and the perceived quality of the information in Wikipedia play a central role in the obtained model.”<br> | “[an]Ongoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the relationships within the internal and external constructs of the model are analysed. Both the perception of colleagues’ opinion about Wikipedia and the perceived quality of the information in Wikipedia play a central role in the obtained model.”<br> | ||
Revision as of 15:23, 3 July 2017
Overview
Abstract
Contents
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--Chenxin.mao.2016 (talk) 13:54, 3 July 2017 (SGT)--Chenxin.mao.2016 (talk) 13:54, 3 July 2017 (SGT)
Dataset
The dataset is taken from Visual Analytics Community: VAST Challenge 2017 Mini Challenge 1.[1], which is:
“[an]Ongoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the relationships within the internal and external constructs of the model are analysed. Both the perception of colleagues’ opinion about Wikipedia and the perceived quality of the information in Wikipedia play a central role in the obtained model.”
Data Preparation
Contents
Conclusion
Contents
