Download - AGENDA
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Gender Issues in Studying CS - Balkan Perspective
Mirjana Ivanović, Zoran Budimac,Zoran Putnik, Nikola Trkulja
10th Workshop “Software Engineering Education and Reverse Engineering”, Ivanjica, September
2010
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AGENDA
Goals of the research and motivation
Questionnaire – Structure, Participants
Questionnaire – Data Processing, Results
Further Plans and Activities
Conclusion
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Goals of the research
Inspired by results presented at DAAD WS 2008
Exploring male/female undergraduate CS students - General success rate- Professional confidence, ambitions and interests- Level of satisfaction with the choice of studies- Attitudes and beliefs towards the gender issue
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Motivation
Take into consideration and compare male/female opinion
- Considerable lack of female students at universities worldwide, despite the different supporting acts made by academic community
- Find reasons for inadequate involvement of women in IT industry and research in Balkan region by exploring both male and female opinions
- Express key findings and give some useful suggestions in order to improve situation
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AGENDA
Goals of the research and motivation
Questionnaire – Structure, Participants
Questionnaire – Data Processing, Results
Further Plans and Activities
Conclusion
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Questionnaire – Structure
Questionnaire consisted of about hundred questions.
Divided into three main sections - General data - Motivation for enrollment- Ambitions regarding future career
There were two type of questions- Nominal scale questions (yes/no)- Ordinal scale questions (1 to 5 Lickert
scale)
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Questionnaire – General data section
Students were asked questions like:- Average mark?- Are you more comfortable with CS-related, than
with math-related courses?- Do you feel worried about your future career in
the field of CS?- Rate the quality of studies on various points?- During your studies, have you felt as part of
academic community?- Rate your skills in each of the listed aspects?- Which grade did you achieve in the various
courses?
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Questionnaire – Motivation for enrollment
Students were asked questions like:
- How did the following factors influence your decision to enroll this faculty?
- Which of listed fields should be covered with more courses?
- Role-models which inspired you to study CS?
- Do you plan to continue you education with master studies?
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Questionnaire – Ambitions regarding future career
Students were asked questions like:
- On which job position from the list do you see yourself after completion of studies?
- On which job position do you see yourself in 10 years?
- Point out which fields of CS overall promise the most?
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Questionnaire – Participants
We want to thank to all our collegues who helped us with data collection in their countries
State Gender Female Male
Albania 11 13
Serbia 42 66
Macedonia 58 114
Bosnia and Herzegovina 20 31
Total 131 224
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AGENDA
Goals of the research and motivation
Questionnaire – Structure, Participants
Questionnaire – Data Processing, Results
Further Plans and Activities
Conclusion
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Questionnaire – Data Processing
All data processing was done using R environment for statistical computing and graphics.
Various non-parametric technics were applied:- Nominal scale data was analysed using Fisher exact
test and Phi association coefficient.- Lickert scale data was analysed using Mann–
Whitney–Wilcoxon test, and Freemans Theta coefficient.
Emphasis was put on finding associations between gender and some other question.
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Questionnaire – Results
Do you expect to have a successful career in the field of CS?
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Questionnaire – Results
Are you more comfortable with CS-related, than with math-related courses?
Female students prefer math related courses.
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Questionnaire – Results
Do you think studies positively influence your intellectual development?
More male studentsthink it did not.
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Questionnaire – Results
Rate quality of CS courses?
p value = 0.81 What about Math courses?
Female
0%
2%
33%
38%
27%
1
2
3
4
5
Male
0%
4%
25%
45%
26%
1
2
3
4
5
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Questionnaire – Results
Rate quality of Math courses?
p value = 0.000573 Maybe not so clear from these charts, but female
students rate Math courses higher.
Female
2%12%
28%
36%
22%
1
2
3
4
5
Male
6%
19%
35%
28%
12%
1
2
3
4
5
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Questionnaire – Results
How did interest in computers influence your decision to enroll this faculty ?
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Questionnaire – Results
How did parents influence your decision to enroll this faculty ?
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Questionnaire – Results
In order to prepare for successful career in CS, do you think there should be more electronics courses?
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Questionnaire – Results
Please rate knowledge of informatics of female teachers?
p value = 10e-6
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Questionnaire – Results
Please rate knowledge of informatics of male teachers?
p value = 0.005
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Questionnaire – Results
Is Computer Science good field for women?
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Questionnaire – Results
Is Computer Science good field for men?
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Questionnaire – Results
Do you consider there is a lack of women in CS ?
p value < 0.05
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Questionnaire – Results
In CS, women tend to be more careful than men?
p value is almost 0.
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AGENDA
Goals of the research and motivation
Questionnaire – Structure, Participants
Questionnaire – Data Processing, Results
Further Plans and Activities
Conclusion
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Further Plans and Activities
Add more countries into the research Conduct statistical tests for each country,
and found out if there is significant differences beetwen countries.
Also find correlations beetwen answers on some pairs of lickert scale questions.
Interpret computed statistics and work towards writing a paper on this subject.
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AGENDA
Goals of the research and motivation
Questionnaire – Structure, Participants
Questionnaire – Data Processing, Results
Further Plans and Activities
Conclusion
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Conclusion
Present satisfaction with the choice of studies
Participants expressed serious and ambitious attitudes regarding their career objectives
Female students are little bit more ambitious, maybe because their male collegues do not fully recognize their hard work.
Some number of male students think that they can do pretty much anything better then females.
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Thank you for your attention
You are welcome to ask questions?