Difference between revisions of "ISSS608 2016-17 T1 Assign2 Alvin Yuen"

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* As can be observed, most of the faculty members were from Social Sciences, followed by Arts & Humanities, Engineering & Architecture, Law & Politics, Health Science and Sciences
 
* As can be observed, most of the faculty members were from Social Sciences, followed by Arts & Humanities, Engineering & Architecture, Law & Politics, Health Science and Sciences
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* Adjunct Professor is the most common teaching position amongst all faculties, which
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* Adjunct Professor is the most common teaching position amongst all faculties
 
* The common age range of the respondents are in the 30 to 49 years old range
 
* The common age range of the respondents are in the 30 to 49 years old range
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== Survey Results ==
 
== Survey Results ==
  
 
== Tools Utilization ==
 
== Tools Utilization ==

Revision as of 19:27, 25 September 2016

Abstract

Wikipedia is one of the most common online resource which students rely upon to seek answers for academia and non-academia queries, in this study the attitude of the faculty members from two Spanish Universities, Universitat Oberta de Catalunya (UOC) and UCF were studied to assess the sentiments of the faculty members to the usage of Wikipedia for Higher Learning.


Problem and Motivation

Data Source

The data was obtained from the UCI Machine Learning Repository [[1]], the dataset originated from a research on "Factors that influence the teaching use of Wikipedia in Higher Education" by E. Aibar, J. Lladós, A. Meseguer, J. Minguillón (jminguillona[at]uoc[dot]edu), M. Lerga. Universitat Oberta de Catalunya, Barcelona, Spain.

Data Preparation

Cleaning of Raw Dataset

  1. The raw dataset contains numeric values for the categorical variables which might not be intuitive when used for analysis, the numbers are coded according to the document provided in UCI, values which could not be classified in the categories provided are coded as unknown. The age of the faculty members and their years of experience are binned into groups, age and years experience are categorised into a defined range.
  2. Addition columns Question Type and Full Question are added to the dataset to allow for visualization in Tableau.

Transformation of Dataset

An ID was assigned according to the row number of the rows, after which the dataset is stacked using JMP accoding to the survey questions which involves a Likert Scale.

Profile of Survey Respondents

Treemap: Profile of Survey Respondents (Domain, Teaching Position, Age Range, Years of Experience) developed with TIBCO Spotfire

Before reviewing the survey results, we could first take a look at the respondents of the survey. The treemap on the left is constructed based on the hierarchy of Domain, followed by the respondent's teaching position, age range and lastly years of experience.


  • As can be observed, most of the faculty members were from Social Sciences, followed by Arts & Humanities, Engineering & Architecture, Law & Politics, Health Science and Sciences
  • Adjunct Professor is the most common teaching position amongst all faculties
  • The common age range of the respondents are in the 30 to 49 years old range





















Survey Results

Tools Utilization

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