Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
The Elon Commitment: 
Data-Driven Decision Making in 
Addressing Study Abroad Barriers 
CIEE Annual Conference 
November 2...
Introductions 
Woody Pelton, Dean of Global Studies 
Paul J. Geis, Associate Director of Study Abroad 
Rod Springer, Execu...
Elon University profile 
 Private, selective, liberal arts 
 6,483 students with 5,782 undergrads 
 Theme #1 in our 10 ...
Underrepresented 
 Diverse backgrounds 
 Men 
 STEM 
 Athletes 
 High need 
 First generation 
 Community College 
...
Assumptions and Anecdotes 
 Do demographics tell us about the barriers? 
 What assumptions do we make? 
 What does the ...
90% 
80% 
70% 
60% 
50% 
40% 
30% 
20% 
10% 
0% 
All Students Women Men Non-white 
students 
Athletes 
% of Elon Students ...
90% 
80% 
70% 
60% 
50% 
40% 
30% 
20% 
10% 
0% 
All Students Women Men Non-white 
students 
Athletes 
All Students 
No Fo...
Slide with useful data/chart re: majors 
and men 
NO ATHLETES WITH ATHLETES 
Sport Event Mgmt 
Male/Female ratio 45%, 55% ...
What the data does tell us 
 Men are underrepresented across the board 
 25% of students with no financial need did 
not...
% Athlete % Study 
Abroad 
Arts Administration, Engineering, 
Engineering Mathematics, Env. 
Studies/Env. Engineering, Fre...
What the data does not tell us 
 Barriers (real or perceived) 
 Qualitative 
 The full story 
 Institutional context 
...
Institutional Research 
 What is IR? 
 IR provides information to various 
stakeholders so that more informed 
decisions...
Correlation 
Being a 
Female 
Being an 
Athlete 
Having more 
NEED (dollars) 
Spearman's 
rho 
Study 
Abroad 
Y/N 
Correla...
Study Abroad by EFC Level 
4-years of 
graduating 
students 
Estimated Family 
Contribution (EFC) 
Have Need (Headcount) H...
Gender and Athletics 
Yes* 
Study Abroad 
Sport No Yes 
Baseball 97% 3% 
Softball 88% 12% 
Men-Basketball 57% 43% 
Women-B...
Financial Need 
Students Who Have Need 
Graduates 
Study Abroad? 
No Yes Difference 
2010 $24,692 $22,951 $1,741 
2011 $27...
Selected Majors 
2010-2013 May Graduates Have Need Gender White/Non-White Athlete 
Study 
Abroad 
Total 
% 
No 
% 
Yes 
% ...
Other Data Sources 
 Survey Data 
 Global Perspective Inventory (GPI) 
 Before College Survey of Student Engagement (BC...
Higher Education Under Pressure
“Disruptive Forces and Innovation” 
The Elon Commitment: 
 “A tsunami is coming” David Brooks - NY Times 
 A combination...
The Elon Commitment: 
“There is still huge value in the 
residential college experience and 
the teacher-student and stude...
The Elon Commitment: 
In March 2012 Sebastian 
Thrun, the CEO of 
Udacity, predicted that 
“fifty years from now 
there wi...
What is College For? 
The Elon Commitment: 
“Since there are now innumerable other (and 
cheaper) ways to be educated, why...
What is Elon For? – Engaged Learning 
Our core 
message: 
Engaged 
Learning
What is Elon For? – Engaged Learning 
Theme 1 - An unprecedented university commitment to 
diversity and global engagement
What is Elon For? – Engaged Learning 
1. Finalize a strategy to assure that 100% of Elon students have access 
to a global...
What is Elon For? – Engaged Learning 
Decisions Based on Study Abroad Data: 
• Built Global Neighborhood and Global Common...
What we have done at Elon? 
 Scholarship funding 
 Asia Center 
 Elon Experiences Grant 
 Increased ELR 
 Global Neig...
Have you worked with your institutional research office 
to obtain and analyze data? (Do you even know them?) 
How have yo...
Q & A
Contact 
Woody Pelton: wpelton@elon.edu 
Paul J. Geis: pgeis@elon.edu 
Rod Springer: springer@elon.edu 
Steven House: shou...
Data-Driven Decision Making in Addressing Study Abroad Barriers
Upcoming SlideShare
Loading in …5
×

Data-Driven Decision Making in Addressing Study Abroad Barriers

857 views

Published on

Data drives decision-making at the highest levels of institutional leadership. This session will use a case of one institution to explore how its global education center collaborates with its institutional research office to determine barriers to studying abroad and compete for campus resources. Using actual data, panelists will guide roundtable discussions on moving from anecdotal observations through data analysis to policy decisions by senior administrators. Information will be provided about how to work with data, what types of data your institutional research office can provide, and how a chief academic officer makes decisions on academic priorities and resource allocation.

Published in: Education
  • Be the first to comment

  • Be the first to like this

Data-Driven Decision Making in Addressing Study Abroad Barriers

  1. 1. The Elon Commitment: Data-Driven Decision Making in Addressing Study Abroad Barriers CIEE Annual Conference November 21, 2014 Baltimore, MD
  2. 2. Introductions Woody Pelton, Dean of Global Studies Paul J. Geis, Associate Director of Study Abroad Rod Springer, Executive Director of Institutional Effectiveness Steven House, Provost and Vice President for Academic Affairs
  3. 3. Elon University profile  Private, selective, liberal arts  6,483 students with 5,782 undergrads  Theme #1 in our 10 year plan is a commitment to diversity and global engagement, including a  commitment for 100% access to global engagement
  4. 4. Underrepresented  Diverse backgrounds  Men  STEM  Athletes  High need  First generation  Community College  Non-traditional age  Performing arts Barriers  Finances  Curriculum  Athletics  Campus Involvement  Fear (students & parents)  Health (physical/mental)  Probation status
  5. 5. Assumptions and Anecdotes  Do demographics tell us about the barriers?  What assumptions do we make?  What does the data actually tell us?
  6. 6. 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% All Students Women Men Non-white students Athletes % of Elon Students Who Studied Abroad
  7. 7. 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% All Students Women Men Non-white students Athletes All Students No Football % of Elon Students Who Studied Abroad
  8. 8. Slide with useful data/chart re: majors and men NO ATHLETES WITH ATHLETES Sport Event Mgmt Male/Female ratio 45%, 55% 56%, 44% % of Females who Study Abroad 86% 78% % of All Majors who Study Abroad 73% 50% % of Males who Study Abroad 57% 29% Exercise Science Male/Female ratio 27%, 73% 29%, 71% % of Females who Study Abroad 77% 74% % of All Majors who Study Abroad 68% 64% % of Males who Study Abroad 44% 40%
  9. 9. What the data does tell us  Men are underrepresented across the board  25% of students with no financial need did not study abroad  Disparities by major
  10. 10. % Athlete % Study Abroad Arts Administration, Engineering, Engineering Mathematics, Env. Studies/Env. Engineering, French, International Economics 0% 100.00% International Studies 2% 98.18% International Business 9% 95.45% Art History 0% 92.59% Public Health Studies 0% 88.89% Human Services Studies 6% 80.80% Religious Studies 8% 80.56% Strategic Communications 5% 79.87% Environmental Studies 3% 79.49% Elementary Education 5% 77.22% Psychology 5% 75.00% Marketing 8% 74.76% Economics 15% 74.55% Biology 4% 73.19% English 1% 72.61% Mathematics 9% 72.00% Accounting 9% 71.15% AVERAGE 8.05% 70.95% % Athlete % Study Abroad AVERAGE 8.05% 70.95% Finance 10% 70.83% Communications 3% 70.43% Physics 20% 70.00% Theatre Studies 0% 70.00% Media Arts and Entertainment 6% 67.45% Entrepreneurship 11% 66.04% Philosophy 8% 65.79% Music Education 0% 64.29% Exercise Science 20% 64.18% Public Administration 3% 63.64% Environ/Ecological Science 16% 63.16% Biochemistry 3% 62.50% Management 13% 60.98% Sociology 12% 60.98% Special Education 5% 58.97% Computer Science 11% 54.05% Computer Information Syst 6% 51.52% Music Technology 5% 50.00% Sport and Event Management 36% 46.94% Music Theatre 0% 42.31% Theatre Arts 0% 39.58%
  11. 11. What the data does not tell us  Barriers (real or perceived)  Qualitative  The full story  Institutional context  Expertise
  12. 12. Institutional Research  What is IR?  IR provides information to various stakeholders so that more informed decisions can be made.  What data does IR have access to?  Typically – lots of data access. Our goal is to turn that data into information.
  13. 13. Correlation Being a Female Being an Athlete Having more NEED (dollars) Spearman's rho Study Abroad Y/N Correlation Coefficient .235** -.231** -.152** Sig. (2-tailed) <0.001 <0.001 <0.001 2 ) Effect-Size (r .06 moderate .05 moderate .02 small Observations 4,482 4,482 1,597 **. Correlation is significant at the 0.01 level
  14. 14. Study Abroad by EFC Level 4-years of graduating students Estimated Family Contribution (EFC) Have Need (Headcount) Have Need (Percent) No Yes No Yes Study Abroad Study Abroad Study Abroad Study Abroad No Yes No Yes No Yes No Yes EFC <= 5,000 196 236 45% 55% EFC 5,001 - 10,000 86 133 39% 61% EFC 10,001 - 20,000 153 289 35% 65% EFC >20,000 140 364 28% 72% EFC = Full Cost 727 2,158 25% 75% All 727 2,158 575 1,022 25% 75% 36% 64%
  15. 15. Gender and Athletics Yes* Study Abroad Sport No Yes Baseball 97% 3% Softball 88% 12% Men-Basketball 57% 43% Women-Basketball 33% 67% Men-Cross Country 38% 63% Women-Cross Country 22% 78% Men-Golf 44% 56% Women-Golf 36% 64% Men-Soccer 88% 12% Women-Soccer 46% 54% Men-Tennis 82% 18% Women-Tennis 56% 44% Football 87% 13% Volleyball 13% 88% Total 66% 34% *May not sum to 100% due to rounding
  16. 16. Financial Need Students Who Have Need Graduates Study Abroad? No Yes Difference 2010 $24,692 $22,951 $1,741 2011 $27,154 $23,128 $4,026 2012 $28,143 $23,014 $5,129
  17. 17. Selected Majors 2010-2013 May Graduates Have Need Gender White/Non-White Athlete Study Abroad Total % No % Yes % Female % Male % White % non- White % No % Yes % Yes Institutional Average (unduplicated headcount) 64% 36% 61% 39% 83% 17% 92% 8% 71% 4,482 Major (includes double/triple majors) Public Health Studies 67% 33% 100% 0% 100% 0% 100% 0% 89% 18 Economics 66% 34% 25% 75% 81% 19% 85% 15% 75% 110 Biology 63% 37% 72% 28% 87% 13% 96% 4% 73% 138 Institutional Average = 72% Finance 73% 27% 23% 77% 85% 15% 90% 10% 71% 192 Exercise Science 65% 35% 71% 29% 84% 16% 80% 20% 64% 201 Management 67% 33% 40% 60% 78% 22% 87% 13% 61% 82 Sport and Event Management 62% 38% 39% 61% 78% 22% 64% 36% 47% 147
  18. 18. Other Data Sources  Survey Data  Global Perspective Inventory (GPI)  Before College Survey of Student Engagement (BCSSE)  National Survey of Student Engagement (NSSE)  Multi-Institutional Survey of Leadership (MSL)  Others (e.g., locally developed surveys)  Focus Group/Interviews  National Student Clearinghouse
  19. 19. Higher Education Under Pressure
  20. 20. “Disruptive Forces and Innovation” The Elon Commitment:  “A tsunami is coming” David Brooks - NY Times  A combination of forces now “destabilize the residential college…business model over the long run” Moody’s Report  Learning? “Not much” Academically Adrift  Changing students Demographics
  21. 21. The Elon Commitment: “There is still huge value in the residential college experience and the teacher-student and student-student interactions it facilitates. But to thrive, universities will have to nurture even more of those unique experiences while blending in technology to improve education outcomes in measurable ways at lower costs. We still need more research on what works, but standing still is not an option.” Thomas Friedman, The Professors’ Big Stage, New York Times, March 5, 2013
  22. 22. The Elon Commitment: In March 2012 Sebastian Thrun, the CEO of Udacity, predicted that “fifty years from now there will be only 10 institutions in the world delivering higher education and Udacity has a shot at being one of them.” (The Stanford Education Experiment Could Change Higher Learning Forever, Wired, March 2012) MOOC – Massive – Open – Online – Course
  23. 23. What is College For? The Elon Commitment: “Since there are now innumerable other (and cheaper) ways to be educated, why are we doing this? … Colleges with a compelling answer to these questions – where everyone on campus knows the answers – are going to be fine. … We each need to figure out what our college is for. ... If a college’s true product is a transformed student, then the main effect of the next decade should be to redouble every school’s commitment to that cause.” Dan Currell, “What is College For?” Inside Higher Education
  24. 24. What is Elon For? – Engaged Learning Our core message: Engaged Learning
  25. 25. What is Elon For? – Engaged Learning Theme 1 - An unprecedented university commitment to diversity and global engagement
  26. 26. What is Elon For? – Engaged Learning 1. Finalize a strategy to assure that 100% of Elon students have access to a global experience either domestically or abroad, including a process to create award packages for students participating in a global experience. 6. Implement international recruitment strategic plan, including partnership with American Language Academy to continue increasing international enrollment at Elon.
  27. 27. What is Elon For? – Engaged Learning Decisions Based on Study Abroad Data: • Built Global Neighborhood and Global Commons • Shifted fellows grants to primarily support Study Abroad and Study USA • Increased financial aid for global education - $150,000/year for 3 consecutive years • Increased first year admissions target by 50 students (i.e. from 1,400 to 1,450) following jump in fall semester abroad enrollments • Developed Shanghai Center – for business majors - with internships • Hired Associate Dean and Director of International Admissions
  28. 28. What we have done at Elon?  Scholarship funding  Asia Center  Elon Experiences Grant  Increased ELR  Global Neighborhood
  29. 29. Have you worked with your institutional research office to obtain and analyze data? (Do you even know them?) How have you collaborated? What has surprised you in looking more deeply at data on your campus? Have you debunked any myths or assumptions? In the coming year, how can you more effectively utilize data to better inform your office’s outreach to underrepresented students, advocacy for resources, and/or addressing of barriers?
  30. 30. Q & A
  31. 31. Contact Woody Pelton: wpelton@elon.edu Paul J. Geis: pgeis@elon.edu Rod Springer: springer@elon.edu Steven House: shouse@elon.edu

×