Monthly Archives: February 2016

Annotated Bibliography #2

Summary

The study looks at why women are underrepresented in Computer Science. Sylvia Beyer got data from 1,319 American, first-year college students that indicated that there exists gender differences in computer self-efficacy, stereotypes, interests, values, interpersonal orientation, and personalities. A student having a positive experience in their first Computer Science was more likely to take another one. Beyer suggests that this underrepresentation is not inevitable. To make changes, we need a clear understanding of the reasons they are not as high in numbers. She suggests social psychological variables to be looked at. She also saw that having a terrific instructor influences students to continue with CS also.

Analysis

I learned from this source the variables that can influence whether a student pursues computer science. A student’s first CS course is vital in their possible future in the field. Also, I saw the strong influence of instructors for students. The different factors that Beyer says exists in influencing success in a CS course was new and interesting to see. This source is from a published journal, and heavily credible. This article raises many new questions on factors that influence students, including female students in pursuing a career or even taking CS courses.

Reflection

This article looks directly at what my focus is on: women’s underrepresentation in computer science. It uses data and analyzes the findings, to come up with solutions that can help female students pursue Computer Science degrees. The article focuses on men also, but a lot of the focus is on women, as the title proclaims. This article is a lot more specific than other articles I’ve read, which is better for my research.

Visual

Portion of survey questions from the article:

13. What is the average starting salary of a computer scientist with a BS? $ _______ per year
14. What is the average number of hours worked by a computer scientist each week?_____ hours
15. What percentage of computer scientists are women? ___%
16. What is the average GPA of a Computer Science major here? (on a 4-point scale) ____
17.Since coming here, have you taken any Computer Science courses?
___ Yes Please skip to question 18.
___ No Why didn’t you take any Computer Science courses? (Check all that apply.)
___ I never had any interest in Computer Science.
___ Computer Science courses are very difficult.
___ Computer Science courses are very boring.
___ I don’t think I would learn anything useful in a Computer Science course.
___ I don’t think I would do very well in a Computer Science course.
___ Computer Science courses are not offered at times that fit my schedule.
___ I don’t think I would fit in with the other Computer Science students.
___ Computer Science professors are not very approachable.
___ I am not required to take any Computer Science classes.
___ I was not aware that Computer Science courses were available.
___ I need to fulfill my other (non-Computer Science) course requirements.
___ Other. Please specify _______________
Now skip to question 19.
18. Which Computer Science course(s) are you currently taking? List up to 3 classes on the lines
provided:
Computer Science class #1: _______________
Computer Science class #2: _______________
Computer Science class #3: _______________

Works Cited

Sylvia Beyer (2014) Why are women underrepresented in Computer

Science? Gender differences in stereotypes, self-efficacy, values, and interests and predictors
of future CS course-taking and grades, Computer Science Education, 24:2-3, 153-192, DOI:
10.1080/08993408.2014.963363

Annotated Bibliography #1

Summary
This article looks at how to increase the number of computer and information sciences (CIS) students at universities, particularly women. The researchers conducted a longitudinal study that collected data from 741 women and men from fifteen different community colleges in California who were enrolled in introductory programming classes. the results for men showed the importance of preparation and interactions with professors. For women it was the significance of motivational, relational, and behavioral factors. Specifically, peer support, expectations for success in computing, and computer games.
Analysis
I learned from this source, ways to increase participation in computer science. The article showed that there are differences in doing this, among men and women. The best way to do this is to increase early opportunities, and encourage students to take higher level math classes. Seeing what these researchers say is the difference between male and female, is what seems new to me. This source is very credible: it’s co-authored by four people and their article is published in a well-known community college review and publisher.
Reflection
The article is connected to other articles I’ve read in that it includes how to increase women’s participation in Computer Science, and looking at how women are under-represented in the field. This article focuses on men also, so it is more broad.
Visual
Table 1. Descriptives by Gender.
Females (n = 191) Males (n = 550)
Average age (SD) 26.89 (10.29) 24.16 (8.20)
College degree*** 31% 14%
Average hours worked (SD) 27.22 (13.91) 26.41 (11.70)
Programmed before the introductory class* 32% 43%
Took a higher math class 72% 66%
Interest in studying CIS very important 51% 64%
Solving challenging problems very important 43% 51%
Mother has a bachelor’s degree 37% 31%
Mother worked in a computing field 13% 10%
Father worked in a computing field 21% 16%
Average gender stereotypes (SD)*** 3.68 (0.42) 3.51 (0.53)
Average interaction with professors (SD)* 2.93 (0.68) 3.09 (0.65)
Average joining study groups (SD) 1.80 (0.91) 1.83 (0.89)
Average peer encouragement (SD)** 1.97 (1.04) 2.26 (1.03)
Note. CIS = computer and information sciences.
*p < .05. **p < .01. ***p < .001.
Works Cited
Denner, Jill, Linda Werner, Lisa O’Connor, and Jill Glassman. “Community College Men and
Women: A Test of Three Widely Held Beliefs About Who Pursues Computer Science.” Community College Review 42.4 (2014): 342-62. Sage Publishing. Web. 22 Feb. 2016.

Introductory

I will be looking at women in technology, focusing on women in Computer Science. I want to look at the under-representation of women in universities studying in the IT field. I will look at numbers, statistics, and solutions to why there is such a discrepancy. I will look at the ratio of men in Computer Science compared to women, and even look outside of the United States and see if there are countries where the ratio isn’t as unproportial. I want to see the various techniques and findings people have and suggest to help more women study Computer Science.