ISSS608 2016-17 T1 Assign2 Lee Gwo Mey
Revision as of 10:24, 26 September 2016 by Gwomey.lee.2016 (talk | contribs)
ABSTRACT
- The purpose of this assignment is to apply interactive data exploration and analysis techniques to discover patterns from the survey results from University faculty members on the use of Wikipedia as a teaching resources.
- From the data exploration, I found that
- Respondents with lower acceptance level to adopt the use of Wikipedia are currently non-wiki users and who are either Adjunct, Assistant, Associate or Lecturer.
- Quality of Wikipedia could be a major concern that affect respondents' decision to use it as a teaching resources.
- Overall, the external environment is conducive in encouraging the use of Wikipedia except in 3 domains where the use is not so well considered among colleagues. The 3 domains are Arts & Humanities, Health Sciences and Law & Politics.
- The URL link to the web-based interactive data visualization dashboard is found in
== DATA SETS ==
- wiki4HE Data Set (https://archive.ics.uci.edu/ml/datasets/wiki4HE)
INTERACTIVE DATA EXPLORATION AND ANALYSIS TECHNIQUE
- Data visualization software tool - Tableau
- Visual analytics techniques - Divergent bar chart
VISUAL ANALYTICS APPLICATION DESIGN PROCESS
Step 1: Identify a Theme of Interest Exploratory study on the motivation and barriers behind University faculty members' use of Wikipedia as a teaching resource.
Step 2: Define Questions for Investigation Motivation factors and barriers that contribute to the use of Wikipedia could be broadly classified under (i) perceptions and attitude, (ii) current skill sets, and (iii) external environment. Initial questions designed to discover these factors are:
- What is the general attitude and acceptance level of University faculty members on the use of Wikipedia?
- Does the quality of Wikipedia affect University faculty members' decision to use Wikipedia?
- Is there a relationship between the University environment and the faculty members' attitude to use Wikipedia?
Step 3: Find the Appropriate Data Attributes
CONSTRUCTING THE VISUALIZATION
INTERMEDIATE VISUALIZATION
FINAL VISUALIZATION
References: