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Kaitlyn J. Bunker, PhD Candidate, Electrical & Computer EngineeringKaitlyn J. Bunker, PhD Candidate, Electrical & Computer Engineering
Raven R. Rebb, Undergraduate, Computer Science
Laura E. Brown, Computer Science
Nilufer Onder, Computer Science
Gretchen L. Hein, Engineering FundamentalsGretchen L. Hein, Engineering Fundamentals
Leonard J. Bohmann, Associate Dean, College of Engineering
Society of Women EngineersSociety of Women Engineers
WE12 Annual Conference
Houston, TX
November 8, 2012, 1:30 pm
Michigan Technological University
Houghton, MI 49931
M ti ti• Motivation
• Persistence, Climate and 
Engagement Studies
• Analysis/Comparisonsy p
• Results
• ConclusionsConclusions
• Future Work
2
• Concerns:Concerns:
• Insufficient  number of 
engineering and computer science 
undergraduates to meet the undergraduates to meet the 
demand
• Student diversity in engineering 
and computer science is still an and computer science is still an 
issue
• Why study persistence?
• Improve services for all • Improve services for all 
engineering and computer science 
students
• Prepare all students to work in a • Prepare all students to work in a 
diverse environment
3
• Public  Science  Technology  • Public, Science, Technology, 
Engineering, and 
Mathematics (STEM)‐
intensive, Midwestern 
University
U d d t  E ll t  • Undergraduate Enrollment: 
5,500 (28.7% women)
• College of Engineering and College of Engineering and 
Department of Computer 
Science comprise 60% 
(18.2% women)
4
ll l l d• Small‐scale, single institution persistence study at 
Michigan Tech (http://cs.mtu.edu/~lebrown/persistence‐study/)
Large scale  multiple institution surveys on • Large‐scale, multiple institution surveys on 
persistence, climate and engagement 
• Project to Assess Climate in Engineering (PACE) • Project to Assess Climate in Engineering (PACE) 
(http://depts.washington.edu/paceteam/index.html)
• National Survey of Student Engagement (NSSE) y g g
(http://www.nsse.iub.edu/) 
• Note: Only the data regarding Michigan Tech were 
usedused
5
Michigan Tech  PACE  NSSE Michigan Tech 
(2011)
PACE 
(2008)
NSSE 
(2009)
• Small‐scale,  • Nationwide:  • Nationwide:
single 
institution
• Engineering 
• 22 institutions
• 10,000 students 
completed 
• 640 institutions
• First‐year and senior 
level studentsEngineering 
and Computer 
Science 
Students
p
survey
• Michigan Tech:
• 1,034 invited
• Sample of student 
population
• Michigan Tech: 674 
Students
• 459 
participants, 
• 493 completed
• Engineering 
students only
g 74
engineering students
• Every 3 years
436 surveys 
analyzed
• 2008 and 2012
6
Michigan Tech Michigan Tech 
(2011)
PACE (2009) NSSE (2009)
• Survey:
• Web Based
• Survey (used in this analysis):
• Web based
• Survey:
• Web based• Web‐Based
• 5 point Likert scale
• Student E‐Mail 
Notification:
A d i  Ad i
• Web‐based
• 5 point Likert scale
• Yes/no Responses
• Student Notification: 
M lti l   tifi ti ith 
• Web‐based
• 4, 7 or 8 point ordinal 
scale
• Yes/No Responses
• Student Notification  • Academic Advisers
• Society of Women 
Engineers (SWE)
• Women in 
C  S i  
• Multiple notifications with e‐
mail addresses supplied by 
university
• Random sample of 
engineering st dents  ith 
• Student Notification: 
• First‐year and senior 
students
• Random sample of 
engineering st dentsComputer Science 
(WiCS)
engineering students with 
100% of underrepresented 
groups included
engineering students
7
Michigan Tech 
(2011)
PACE (2009) NSSE (2009)
• Aspects of student 
persistence 
• Why students 
• Instruction
• Faculty
• Resources
• Student Engagement
• Deployment and Use 
of Educational 
switch majors
• Who influences their 
decision to switch 
• Perceptions
• Major
• Confidence
l
Resources by 
Students and 
Universities
majors • Personal Experiences
8
Survey and University Demographics by 
20%
25%
30%
35%
y y g p y
Major Survey Participants
University Enrollment
0%
5%
10%
15%
20%
Summary:
9
Summary:
• All engineering and computer science majors were represented
• More women from each area responded than are actually in the departments
 For persistence   Mean (out of 5)
 For persistence, 
items women ranked 
higher than men:
d
Female Male
MTU Survey Statement
Why did you persist?  
"I have a good GPA"
3.4 3.3
• “Good GPA”
• Income potential
• Job opportunities
g
Why did you switch majors?  “New 
major had better income potential"
2.8 2.3
Why did you persist?
"I think my major has good income 
3 9 3 6
• Make a difference
 Men predicted that 
potential"
3.9 3.6
"I think my major has good job 
opportunities"
4.1 4.0
"I think my major will allow me to 
k d ff
4 0 3 4p
they would work 
longer as an engineer 
than women
make a difference"
4.0 3.4
Why did you choose your major?
“Field provides opportunities to make 
a difference"
4.2 3.7
than women PACE Question
“Forecast time as engineer after 
graduating"
4.0 4.5
10
NOTE: GPAs for men (3.2/4.0) and women 
(3.3/4.0) were similar. (PACE)
 Women reported  MTU Survey Statement Mean (out of 5)
more frequently 
than men: 
• Participation in a greater 
  f  i i i  
Assess this statement Female Male
"I can succeed in engineering and participate in other 
activities" 4.2 4.0
"I can relate to the students in my classes" 4.1 3.8
range of activities 
• Relate to others better
• Discussions that include 
course ideas/topics 
NSSE Question
Mean
Female Male
"Attended an art exhibit, play, dance, music, theater, 
or other performance" (out of 4) 2.4 2.1
“Participated in activities to enhance spirituality course ideas/topics 
outside of class
 Men reported more 
f l h
“Participated in activities to enhance spirituality 
(worship, meditation, prayer, etc.)" (out of 4) 2.3 1.8
“Discuss ideas from your readings or classes with 
others outside of class" (out of 4) 2.9 2.6
“Relationships with other students" (out of 7) 6 0 5 7
frequently than 
women that they 
find study centers 
f l ( /   / ) 
Relationships with other students  (out of 7) 6.0 5.7
PACE Question
% Response, "Yes"
Female Male
“Participation in engineering student societies" 32.8% 18.4%
“P ti i ti  i     h" 16 4% 5 9%useful (3.4/5 vs 3.1/5) 
(PACE)
“Participation in summer research" 16.4% 5.9%
“Participation in volunteer work" 55.5% 37.3%
11
For persistence  diversity and environment were  For persistence, diversity and environment were 
more important to women than men
W   d   f l   h     h   Women reported more frequently than men that 
they were singled out, or heard stereotypes
MTU Survey Statement Mean (out of 5)
What factors were important in your persistence in your major? Female Male
“Satisfaction with the diversity within my major" 3.13 2.74
“Satisfaction with the environment within my major" 3 63 3 23Satisfaction with the environment within my major 3.63 3.23
PACE Question
% Response, "Yes"
Female Male
“Have you been singled out unfairly due to gender" 14.8% 1.4%
“Have heard faculty express gender stereotypes" 25 4% 6 8%“Have heard faculty express gender stereotypes" 25.4% 6.8%
12
 Few significant gender differences between Michigan  Few significant gender differences between Michigan 
Tech , PACE and NSSE surveys for Michigan Tech 
students
I t ti  diff   Interesting differences were:
• Women use a greater variety of campus/personal resources 
than men, but use learning centers less than men, g
• Women and men had similar views on work‐life balance, 
but men expected to be in the engineer career path for a 
longer time than womenlonger time than women
• Women stated that diversity and environment were more 
important factors in persistence than men
W   t d  i i   d h i  f lt    • Women reported experiencing and hearing faculty express 
gender stereotypes more than men
13
D l     d t d   t• Develop an updated survey to:
• Include all students at Michigan Tech
E l  th  i t   f  l   d l• Explore the importance of role models
• Explore the effect of student background on 
persistencepersistence
• Explore the students’ perceptions of faculty 
diversity and compare them to the university datadiversity and compare them to the university data
14
Web Site: http://cs.mtu.edu/~lebrown/persistence‐study/
Thank you!
Acknowledgements:
Thank you!
• The Michigan Tech College of Engineering for supplying the PACE and 
NSSE data.
• K. Bunker is supported through an NSF grant (DGE‐1051031)
• G. Hein is partially supported through an NSF Grant (DUE‐0836861)
15
G. Hein is partially supported through an NSF Grant (DUE 0836861)
Web Site: http://cs.mtu.edu/~lebrown/persistence‐study/

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Why Do Women Engineering Students Persist?

  • 2. M ti ti• Motivation • Persistence, Climate and  Engagement Studies • Analysis/Comparisonsy p • Results • ConclusionsConclusions • Future Work 2
  • 3. • Concerns:Concerns: • Insufficient  number of  engineering and computer science  undergraduates to meet the undergraduates to meet the  demand • Student diversity in engineering  and computer science is still an and computer science is still an  issue • Why study persistence? • Improve services for all • Improve services for all  engineering and computer science  students • Prepare all students to work in a • Prepare all students to work in a  diverse environment 3
  • 4. • Public  Science  Technology  • Public, Science, Technology,  Engineering, and  Mathematics (STEM)‐ intensive, Midwestern  University U d d t  E ll t  • Undergraduate Enrollment:  5,500 (28.7% women) • College of Engineering and College of Engineering and  Department of Computer  Science comprise 60%  (18.2% women) 4
  • 5. ll l l d• Small‐scale, single institution persistence study at  Michigan Tech (http://cs.mtu.edu/~lebrown/persistence‐study/) Large scale  multiple institution surveys on • Large‐scale, multiple institution surveys on  persistence, climate and engagement  • Project to Assess Climate in Engineering (PACE) • Project to Assess Climate in Engineering (PACE)  (http://depts.washington.edu/paceteam/index.html) • National Survey of Student Engagement (NSSE) y g g (http://www.nsse.iub.edu/)  • Note: Only the data regarding Michigan Tech were  usedused 5
  • 6. Michigan Tech  PACE  NSSE Michigan Tech  (2011) PACE  (2008) NSSE  (2009) • Small‐scale,  • Nationwide:  • Nationwide: single  institution • Engineering  • 22 institutions • 10,000 students  completed  • 640 institutions • First‐year and senior  level studentsEngineering  and Computer  Science  Students p survey • Michigan Tech: • 1,034 invited • Sample of student  population • Michigan Tech: 674  Students • 459  participants,  • 493 completed • Engineering  students only g 74 engineering students • Every 3 years 436 surveys  analyzed • 2008 and 2012 6
  • 7. Michigan Tech Michigan Tech  (2011) PACE (2009) NSSE (2009) • Survey: • Web Based • Survey (used in this analysis): • Web based • Survey: • Web based• Web‐Based • 5 point Likert scale • Student E‐Mail  Notification: A d i  Ad i • Web‐based • 5 point Likert scale • Yes/no Responses • Student Notification:  M lti l   tifi ti ith  • Web‐based • 4, 7 or 8 point ordinal  scale • Yes/No Responses • Student Notification  • Academic Advisers • Society of Women  Engineers (SWE) • Women in  C  S i   • Multiple notifications with e‐ mail addresses supplied by  university • Random sample of  engineering st dents  ith  • Student Notification:  • First‐year and senior  students • Random sample of  engineering st dentsComputer Science  (WiCS) engineering students with  100% of underrepresented  groups included engineering students 7
  • 8. Michigan Tech  (2011) PACE (2009) NSSE (2009) • Aspects of student  persistence  • Why students  • Instruction • Faculty • Resources • Student Engagement • Deployment and Use  of Educational  switch majors • Who influences their  decision to switch  • Perceptions • Major • Confidence l Resources by  Students and  Universities majors • Personal Experiences 8
  • 9. Survey and University Demographics by  20% 25% 30% 35% y y g p y Major Survey Participants University Enrollment 0% 5% 10% 15% 20% Summary: 9 Summary: • All engineering and computer science majors were represented • More women from each area responded than are actually in the departments
  • 10.  For persistence   Mean (out of 5)  For persistence,  items women ranked  higher than men: d Female Male MTU Survey Statement Why did you persist?   "I have a good GPA" 3.4 3.3 • “Good GPA” • Income potential • Job opportunities g Why did you switch majors?  “New  major had better income potential" 2.8 2.3 Why did you persist? "I think my major has good income  3 9 3 6 • Make a difference  Men predicted that  potential" 3.9 3.6 "I think my major has good job  opportunities" 4.1 4.0 "I think my major will allow me to  k d ff 4 0 3 4p they would work  longer as an engineer  than women make a difference" 4.0 3.4 Why did you choose your major? “Field provides opportunities to make  a difference" 4.2 3.7 than women PACE Question “Forecast time as engineer after  graduating" 4.0 4.5 10 NOTE: GPAs for men (3.2/4.0) and women  (3.3/4.0) were similar. (PACE)
  • 11.  Women reported  MTU Survey Statement Mean (out of 5) more frequently  than men:  • Participation in a greater    f  i i i   Assess this statement Female Male "I can succeed in engineering and participate in other  activities" 4.2 4.0 "I can relate to the students in my classes" 4.1 3.8 range of activities  • Relate to others better • Discussions that include  course ideas/topics  NSSE Question Mean Female Male "Attended an art exhibit, play, dance, music, theater,  or other performance" (out of 4) 2.4 2.1 “Participated in activities to enhance spirituality course ideas/topics  outside of class  Men reported more  f l h “Participated in activities to enhance spirituality  (worship, meditation, prayer, etc.)" (out of 4) 2.3 1.8 “Discuss ideas from your readings or classes with  others outside of class" (out of 4) 2.9 2.6 “Relationships with other students" (out of 7) 6 0 5 7 frequently than  women that they  find study centers  f l ( /   / )  Relationships with other students  (out of 7) 6.0 5.7 PACE Question % Response, "Yes" Female Male “Participation in engineering student societies" 32.8% 18.4% “P ti i ti  i     h" 16 4% 5 9%useful (3.4/5 vs 3.1/5)  (PACE) “Participation in summer research" 16.4% 5.9% “Participation in volunteer work" 55.5% 37.3% 11
  • 12. For persistence  diversity and environment were  For persistence, diversity and environment were  more important to women than men W   d   f l   h     h   Women reported more frequently than men that  they were singled out, or heard stereotypes MTU Survey Statement Mean (out of 5) What factors were important in your persistence in your major? Female Male “Satisfaction with the diversity within my major" 3.13 2.74 “Satisfaction with the environment within my major" 3 63 3 23Satisfaction with the environment within my major 3.63 3.23 PACE Question % Response, "Yes" Female Male “Have you been singled out unfairly due to gender" 14.8% 1.4% “Have heard faculty express gender stereotypes" 25 4% 6 8%“Have heard faculty express gender stereotypes" 25.4% 6.8% 12
  • 13.  Few significant gender differences between Michigan  Few significant gender differences between Michigan  Tech , PACE and NSSE surveys for Michigan Tech  students I t ti  diff   Interesting differences were: • Women use a greater variety of campus/personal resources  than men, but use learning centers less than men, g • Women and men had similar views on work‐life balance,  but men expected to be in the engineer career path for a  longer time than womenlonger time than women • Women stated that diversity and environment were more  important factors in persistence than men W   t d  i i   d h i  f lt    • Women reported experiencing and hearing faculty express  gender stereotypes more than men 13
  • 14. D l     d t d   t• Develop an updated survey to: • Include all students at Michigan Tech E l  th  i t   f  l   d l• Explore the importance of role models • Explore the effect of student background on  persistencepersistence • Explore the students’ perceptions of faculty  diversity and compare them to the university datadiversity and compare them to the university data 14 Web Site: http://cs.mtu.edu/~lebrown/persistence‐study/
  • 15. Thank you! Acknowledgements: Thank you! • The Michigan Tech College of Engineering for supplying the PACE and  NSSE data. • K. Bunker is supported through an NSF grant (DGE‐1051031) • G. Hein is partially supported through an NSF Grant (DUE‐0836861) 15 G. Hein is partially supported through an NSF Grant (DUE 0836861) Web Site: http://cs.mtu.edu/~lebrown/persistence‐study/