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FACTORS AND STRATEGIES
THAT IMPACT ONLINE
COMMUNITY COLLEGE
STUDENT PERSISTENCE

  Jennifer Boisvert, Pamela Culbertson,
            Peter Shea, PhD


              May 24, 2011


        The University at Albany,
      State University of New York
ISSUES AND CONTEXT
Question:

After three years what % of first time community
  college students complete a credential of any
  sort?

 A) 25% (i.e. 75% do not finish on time)
 B) 35% (i.e. 65% do not finish on time)

 C) 50% (i.e. 50% do not finish on time)

 D) Other
ISSUES
 “…if success is based on the outcomes of all
  entrants, performance will be depressed unless
  success is very broadly defined.”
 “By the same token, measuring success only for a
  select group (e.g., those who indicate degree
  intentions or achieve credit thresholds) may
  produce a falsely positive appearance of success
  while also encouraging access to diminish (e.g.,
  through creaming).”
                                 Goldrick-Rab, 2010
ISSUES
All that said…

 After 3 years just 16% of first-time community
  college students who began college in 2003
  attained a credential of any kind (certificate,
  associate’s degree, and/or bachelor’s degree).
 So 84% of first time cc students do not finish on
  time
 After 6 years the number without a credential of
  any sort is still 64%.
                                 Goldrick-Rab, 2010

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WHY IS THIS SO?
 With a partner create a list of the top 3 reasons
  community college students do not finish a
  degree or certificate program.
 What are the top 3 solutions to these problems?
ADDED CONTEXT: NO RESEARCH
REALLY
   One area that is popularly discussed but not
    addressed here (because of the dearth of
    research in the public 2-year sector) is the
    potential for online solutions (for more, see U.S.
    Department of Education, 2009).
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OVERVIEW
 Definitions
 Research Questions

 Review of Literature

 Limitations

 Conclusion
RESEARCH SPECIFICATIONS
   Time Period
       2004-2011


   Keywords
       Attrition, online, persistence, community college,
        leaving early, retention, drop out, student engagement,
        gender, ethnicity, major, and SUNY Learning Network


   Resources
     The University at Albany’s online library resources
      database
     Peer-reviewed articles

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DEFINITIONS
   Persistence:
       Students returning for future courses



   Retention:
       Students completing a course in which they enrolled
PROBLEM

   Lack of research in relation to online community
    college student persistence

   Limited research regarding online learners
    enrolled in SUNY community colleges
RESEARCH QUESTIONS
   What are the factors that impact online
    community college student persistence?

   What strategies can community college
    professionals implement to increase student
    persistence?

   How does a sample of community colleges within
    the State University of New York compare to
    national norms for persistence in online
    education?
SUNY COMMUNITY COLLEGES




http://nyshei.wordpress.com/2008/02/02/suny-caucus-forms/

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FACTORS IDENTIFIED
   Student Engagement in Online Courses
     Instructor and Course Designer Influence
     Learning Communities
     Online Class Community Support

 Finance-Related Effects on Persistence
 Importance of Interest – College Major Selection
FACTORS INFLUENCING COMMUNITY
COLLEGE ONLINE COURSE
PERSISTENCE
   Push Effects
     Self-Efficacy
     Time Management
     Engagement
     Motivation



   Pull Effects
     Financial Struggles
     Family and Personal Obligations
     Work Demands
STUDENT ENGAGEMENT
   Instructor and Course Designer Influence
     Academic Support
     Social Support


   Learning Communities
     Groups of Students
     Benefits
     4-Year Longitudinal Study (Engstrom & Tinto, 2008)


   Online Class Community Support
     Technology
     Sense of Community
     Communication
       Introductory Computer Course
FINANCIAL AND MAJOR SELECTION
INFLUENCES
   Finance-Related Effects
     Increase in Local Employment Opportunities 
      Decrease in Community College Persistence
     Access to Student Loans  Increase in Persistence
     Student Loan Availability
     Students Receiving Aid in 2008-2009 (AACC)




   Importance of Interest – College Major Selection
     Person-Environment Fit
     Community of Inquiry (CoI)
     Increased Motivation
     Science, Technology, Engineering, and Mathematics
      (STEM) Majors

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LIMITATIONS

 Small Sample Sizes
 Unknown Duration of Online Courses

 Preparation
     Tutorials
     Self-Assessment Survey

 Intent – Required or Elective Courses
 Unknown Delivery Method
       Percentage Online – Full, Blended
CONCLUSION

   Limited Research on Online Persistence:
     Community Colleges
     SUNY Community Colleges


   More Research Needed on:
     Student Engagement
     Learner Fit


   Implementation Strategies
     Clubs/Organizations
     Learning Communities
CONTACT INFORMATION

 Jen   Boisvert
     jennifer.boisvert@gmail.com

 Pam   Culbertson
     pamela.culbertson01@albany.edu
RESOURCES
Allen, J., & Robbins, S.B. (2008). Prediction of college major persistence
   based on vocational interests, academic preparation, and first-year
   academic performance. Research in Higher Education, 49(1), 62-79.
American Association of Community Colleges. (n.d.). Fast Facts. Retrieved
   April 17, 2011, from
   http://www.aacc.nche.edu/AboutCC/Pages/fastfacts.aspx
Aragon, S. R., & Johnson, E. S. (2008). Factors influencing completion and
   noncompletion of community college online courses. The American
   Journal of Distance Education, 22(3), 146-158.
Artino, A. R. (2007). Online military training: Using a social cognitive view of
   motivation and self-regulation to understand students’ satisfaction,
   perceived learning, and choice. The Quarterly Review of Distance
   Education, 8(3), 191-202.
Barbatis, P. (2010). Underprepared, ethnically diverse community college
   students: Factors contributing to persistence. Journal of Developmental
   Education, 33(3), 14-24.
Barnes, R. A., & Piland, W.E. (2010-2011). Impact of learning communities
   in developmental English on community college student retention and
   persistence. Journal of College Student Retention, 12(1), 7-24.

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This document summarizes a research project on widening participation in higher education in Ghana and Tanzania. The project used both quantitative and qualitative data, including 100 equity scorecards and 400 interviews, to examine access, retention, and achievement across gender, age, and socioeconomic status in 4 programs at 2 public and 2 private universities in each country. Key findings included low representation of low-SES and mature students, especially women. The research impacted policies and practices at the university and national level in both countries. It also informed international organizations and was disseminated through publications and presentations globally.

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RESOURCES CONT’D
Dodge, T. M., Mitchell, M.F., & Mensch, J.M. (2009). Student retention in
  athletic training education programs. Journal of Athletic Training, 44(2),
  197-207.
Dowd, A. C. (2004). Income and financial aid effects on persistence and
  degree attainment in public colleges. Education Policy Analysis Archives,
  12(21), 33.
Engstrom, C, & Tinto, V. (2008). Access without support is not opportunity.
  Change, 4(1), 46-50.
Fike, D. S., & Fike, R. (2008). Predictors of first-year student retention in the
   community college. Community College Review, 36(2), 68-88.
Goldrick-Rab, S. (2010). Challenges and opportunities for improving
  community college student success. Review of Educational Research,
  80(3), 437-469.
Griffith, A.L. (2010). Persistence of women and minorities in STEM field
  majors: Is it the school that matters?. Economics of Education Review,
  29(6), 911-922.
RESOURCES CONT’D
Kienzl, G. S., Alfonso, M., & Melguizo, T. (2007). The effect of local labor
   market conditions in the 1990s on the likelihood of community college
   students’ persistence and attainment. Research in Higher Education,
   48(7), 751-774.
Lehr, C. A., Clapper, A. T., & Thurlow, M. L. (2005). Graduation for all: A
  practical guide to decreasing school dropout. Thousand Oaks, CA: Corwin
  Press.
Morris, L. K., & Daniel, L. G. (2008). Perceptions of a chilly climate:
  Differences in traditional and non-traditional majors for women. Research
  in Higher Education, 49(3), 256-273.
New York State Higher Education Initiative. (2008, February 2). SUNY
  caucus forms. Messaged posted to
  http://nyshei.wordpress.com/2008/02/02/suny-caucus-forms/
Shea, P. & Bidjerano, T. (2010). Towards a theory of self-efficacy, self-
  regulation, and the development of a communities of inquiry in online and
  blended learning environments. Computers & Education, 55(4), 1721-
  1731.

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Factors & Strategies that impact online CC student persistence,

  • 1. FACTORS AND STRATEGIES THAT IMPACT ONLINE COMMUNITY COLLEGE STUDENT PERSISTENCE Jennifer Boisvert, Pamela Culbertson, Peter Shea, PhD May 24, 2011 The University at Albany, State University of New York
  • 2. ISSUES AND CONTEXT Question: After three years what % of first time community college students complete a credential of any sort?  A) 25% (i.e. 75% do not finish on time)  B) 35% (i.e. 65% do not finish on time)  C) 50% (i.e. 50% do not finish on time)  D) Other
  • 3. ISSUES  “…if success is based on the outcomes of all entrants, performance will be depressed unless success is very broadly defined.”  “By the same token, measuring success only for a select group (e.g., those who indicate degree intentions or achieve credit thresholds) may produce a falsely positive appearance of success while also encouraging access to diminish (e.g., through creaming).”  Goldrick-Rab, 2010
  • 4. ISSUES All that said…  After 3 years just 16% of first-time community college students who began college in 2003 attained a credential of any kind (certificate, associate’s degree, and/or bachelor’s degree).  So 84% of first time cc students do not finish on time  After 6 years the number without a credential of any sort is still 64%.  Goldrick-Rab, 2010
  • 5. WHY IS THIS SO?  With a partner create a list of the top 3 reasons community college students do not finish a degree or certificate program.  What are the top 3 solutions to these problems?
  • 6. ADDED CONTEXT: NO RESEARCH REALLY  One area that is popularly discussed but not addressed here (because of the dearth of research in the public 2-year sector) is the potential for online solutions (for more, see U.S. Department of Education, 2009).  Goldrick-Rab, 2010
  • 7. OVERVIEW  Definitions  Research Questions  Review of Literature  Limitations  Conclusion
  • 8. RESEARCH SPECIFICATIONS  Time Period  2004-2011  Keywords  Attrition, online, persistence, community college, leaving early, retention, drop out, student engagement, gender, ethnicity, major, and SUNY Learning Network  Resources  The University at Albany’s online library resources database  Peer-reviewed articles
  • 9. DEFINITIONS  Persistence:  Students returning for future courses  Retention:  Students completing a course in which they enrolled
  • 10. PROBLEM  Lack of research in relation to online community college student persistence  Limited research regarding online learners enrolled in SUNY community colleges
  • 11. RESEARCH QUESTIONS  What are the factors that impact online community college student persistence?  What strategies can community college professionals implement to increase student persistence?  How does a sample of community colleges within the State University of New York compare to national norms for persistence in online education?
  • 13. FACTORS IDENTIFIED  Student Engagement in Online Courses  Instructor and Course Designer Influence  Learning Communities  Online Class Community Support  Finance-Related Effects on Persistence  Importance of Interest – College Major Selection
  • 14. FACTORS INFLUENCING COMMUNITY COLLEGE ONLINE COURSE PERSISTENCE  Push Effects  Self-Efficacy  Time Management  Engagement  Motivation  Pull Effects  Financial Struggles  Family and Personal Obligations  Work Demands
  • 15. STUDENT ENGAGEMENT  Instructor and Course Designer Influence  Academic Support  Social Support  Learning Communities  Groups of Students  Benefits  4-Year Longitudinal Study (Engstrom & Tinto, 2008)  Online Class Community Support  Technology  Sense of Community  Communication  Introductory Computer Course
  • 16. FINANCIAL AND MAJOR SELECTION INFLUENCES  Finance-Related Effects  Increase in Local Employment Opportunities  Decrease in Community College Persistence  Access to Student Loans  Increase in Persistence  Student Loan Availability  Students Receiving Aid in 2008-2009 (AACC)  Importance of Interest – College Major Selection  Person-Environment Fit  Community of Inquiry (CoI)  Increased Motivation  Science, Technology, Engineering, and Mathematics (STEM) Majors
  • 17. LIMITATIONS  Small Sample Sizes  Unknown Duration of Online Courses  Preparation  Tutorials  Self-Assessment Survey  Intent – Required or Elective Courses  Unknown Delivery Method  Percentage Online – Full, Blended
  • 18. CONCLUSION  Limited Research on Online Persistence:  Community Colleges  SUNY Community Colleges  More Research Needed on:  Student Engagement  Learner Fit  Implementation Strategies  Clubs/Organizations  Learning Communities
  • 19. CONTACT INFORMATION  Jen Boisvert  jennifer.boisvert@gmail.com  Pam Culbertson  pamela.culbertson01@albany.edu
  • 20. RESOURCES Allen, J., & Robbins, S.B. (2008). Prediction of college major persistence based on vocational interests, academic preparation, and first-year academic performance. Research in Higher Education, 49(1), 62-79. American Association of Community Colleges. (n.d.). Fast Facts. Retrieved April 17, 2011, from http://www.aacc.nche.edu/AboutCC/Pages/fastfacts.aspx Aragon, S. R., & Johnson, E. S. (2008). Factors influencing completion and noncompletion of community college online courses. The American Journal of Distance Education, 22(3), 146-158. Artino, A. R. (2007). Online military training: Using a social cognitive view of motivation and self-regulation to understand students’ satisfaction, perceived learning, and choice. The Quarterly Review of Distance Education, 8(3), 191-202. Barbatis, P. (2010). Underprepared, ethnically diverse community college students: Factors contributing to persistence. Journal of Developmental Education, 33(3), 14-24. Barnes, R. A., & Piland, W.E. (2010-2011). Impact of learning communities in developmental English on community college student retention and persistence. Journal of College Student Retention, 12(1), 7-24.
  • 21. RESOURCES CONT’D Dodge, T. M., Mitchell, M.F., & Mensch, J.M. (2009). Student retention in athletic training education programs. Journal of Athletic Training, 44(2), 197-207. Dowd, A. C. (2004). Income and financial aid effects on persistence and degree attainment in public colleges. Education Policy Analysis Archives, 12(21), 33. Engstrom, C, & Tinto, V. (2008). Access without support is not opportunity. Change, 4(1), 46-50. Fike, D. S., & Fike, R. (2008). Predictors of first-year student retention in the community college. Community College Review, 36(2), 68-88. Goldrick-Rab, S. (2010). Challenges and opportunities for improving community college student success. Review of Educational Research, 80(3), 437-469. Griffith, A.L. (2010). Persistence of women and minorities in STEM field majors: Is it the school that matters?. Economics of Education Review, 29(6), 911-922.
  • 22. RESOURCES CONT’D Kienzl, G. S., Alfonso, M., & Melguizo, T. (2007). The effect of local labor market conditions in the 1990s on the likelihood of community college students’ persistence and attainment. Research in Higher Education, 48(7), 751-774. Lehr, C. A., Clapper, A. T., & Thurlow, M. L. (2005). Graduation for all: A practical guide to decreasing school dropout. Thousand Oaks, CA: Corwin Press. Morris, L. K., & Daniel, L. G. (2008). Perceptions of a chilly climate: Differences in traditional and non-traditional majors for women. Research in Higher Education, 49(3), 256-273. New York State Higher Education Initiative. (2008, February 2). SUNY caucus forms. Messaged posted to http://nyshei.wordpress.com/2008/02/02/suny-caucus-forms/ Shea, P. & Bidjerano, T. (2010). Towards a theory of self-efficacy, self- regulation, and the development of a communities of inquiry in online and blended learning environments. Computers & Education, 55(4), 1721- 1731.