Papers on "Women and the Information Technology Industry" and similar term paper topics
Paper #055407 ::
Women and the Information Technology Industry
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This paper is a research proposal to study the under-representation of women in the information technology industry.
Written in 2004; 3,780 words; 12 sources; APA;
$ 104.95
Paper Summary:
This paper explains that the research examines the reasons behind the lack of women pursuing computer-related career paths and provides recommendations for attracting and keeping more women in the field. The author points out that, despite the great increase in the number of high-level positions now open to women in IT, few women seek the jobs. The paper reports that data gathering methods will be face-to-face interviews with written or taped notes and survey questionnaires.
Table of Contents
Introduction
Statement of the Problem
Hypothesis
Delimitation
Definition of Terms
Assumptions
Importance of Study
Literature Review
Research Design
Data Needed and Data Gathering Method
Research Methodology
Outline of Proposed Study
From the Paper:
"Statistics show that the approach to technology education may be to blame. What seemed like an attractive career option in the 1980s is no longer an attractive option for young women. "In the early 1980s, women were turned on by technical careers because they were new and challenging," explained Susan Metz, executive director of the Lore-El Center for Women and Engineering and Science at Stevens Institute of Technology in Hoboken, NJ. However, since then, the number of women earning computer science degrees has declined steadily, according to the Women's Commission on the Advancement of Women and Minorities in Science, Engineering, and Technology Development. Studies suggest women are losing interest because of how colleges approach technology education. According to a recently completed four-year study of 100 Carnegie Mellon students pursuing computer science degrees, there is a major gender gap in teaching technology these days.
Tags:
interview survey recommendations reasons high-level
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