ISSS608 2016-17 T1 Assign2 Alvin Yuen

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.

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

Profile of Respondents based on Domain, Gender, User of Wiki, and PhD	Breakdown of Profile of respondents by Domain

• Overall the majority of the respondents are non-Wikipedia registered user (86%), the non-Wikipedia registered user is constantly over 80% for all domain types.
• The overall male and female distribution is at quite an equal distribution of 58% male and 42% female, this is true for most domains, except for Engineering & Architecture and Sciences where the majority of the respondents are male, 85% for Engineering & Architecture and 82% for Sciences.
• There is quite an equal distribution of PhD holders and non-PhD holders at 54% (non-PhD) vs 46% (PhD), the distribution is quite consistent for all domains except for Engineering & Architecture (61% non-PhD and 39% PhD) and Arts & Humanities (60% non-PhD and 40% PhD)

Survey Results

Likert Scale Survey Questions

https://public.tableau.com/profile/publish/Wiki4HE_v2/Dashboard1#!/publish-confirm