Difference between revisions of "ISSS608 2016-17 T1 Assign2 Meenakshi"
| Line 37: | Line 37: | ||
Experience<br/> | Experience<br/> | ||
The associations to be studied are <br/> | The associations to be studied are <br/> | ||
| − | # Who are the poeple taking the survey? Some demogrpahics on the survey participants. | + | # Who are the poeple taking the survey? Some demogrpahics on the survey participants |
| + | #Do faculty members from various departments differ in their opinion on the perceived usefulness and Quality. | ||
# Is Quality the key factor considered by most faculty members. Does it influence the perceived usefulness and ease of use<br/> | # Is Quality the key factor considered by most faculty members. Does it influence the perceived usefulness and ease of use<br/> | ||
| + | #Is the Use behavior and Behavioral intention defined by quality<br/> | ||
| + | #Does the faculty Social profile influence the sharing attitude<br/> | ||
| + | #How important is the Job relevance for the use of wikipedia. Does it also affect the sharing attitude<br/> | ||
| + | #Does the Social Image- colleague's perception, influence the perceived usefulness and behavior intention<br/> | ||
| + | #How does visibility affect the use behavior and behavioral intention<br/> | ||
| + | As we progress with data explorations, some questions may have to be re defined<br/> | ||
* Analysis:<br/> | * Analysis:<br/> | ||
| + | |||
<br/> | <br/> | ||
Revision as of 13:35, 26 September 2016
Contents
Abstract
The new open collaborative environment and open education content has had a great impact on student learning and teaching practices
in the universities across globe. Wikipedia stands out to be the primary technology platform that is enabling learning and knowledge sharing. In this study we are trying to understand the teaching use of wikipedia from a dataSurvey of faculty members from two Spanish universities.
Problem and motivation
The objective is to analyse the multivariate survey data using appropriate visualisation tools and techniques.-
The results would enable us understand the main attributes that influence the teaching uses of wikipedia.
This will give us insights on how the open learning platform is being received and how are the practices going to be in the academic
world in the future.
Tools Used
Tableau version 10.0
JMP
Approaches
Following the Visual Analytics Application Design Process, we approach the problem is 3 steps
- Identify theme of interest:
The focus is on Visualizing factors that influence the use of Wikipedia as a platform for teaching and learning in the academic world.
What do faculty members consider important in order to use and promote wikipedia.
- Define questions for investigation:
The wiki4HE survey data, contains information about the faculty members basic profile. Survey questions are defined considering these factors:
Perceived Usefulness and Ease of Use
Perceived Enjoyment
Quality
Visibility
SocialImage
Sharing Attitude
Use Behavior
Profile 2.0
Job relevance
Use Behavior
Behavioral Intention
Incentives
Experience
The associations to be studied are
- Who are the poeple taking the survey? Some demogrpahics on the survey participants
- Do faculty members from various departments differ in their opinion on the perceived usefulness and Quality.
- Is Quality the key factor considered by most faculty members. Does it influence the perceived usefulness and ease of use
- Is the Use behavior and Behavioral intention defined by quality
- Does the faculty Social profile influence the sharing attitude
- How important is the Job relevance for the use of wikipedia. Does it also affect the sharing attitude
- Does the Social Image- colleague's perception, influence the perceived usefulness and behavior intention
- How does visibility affect the use behavior and behavioral intention
As we progress with data explorations, some questions may have to be re defined
- Analysis:
Results
The results of the study are shown in the infographics below. The observations will enable stake holders to see the past and current trends for housing supply and prices. Business decisions can be influenced positively by studying the demand and supply.
