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The computing orientation seminar: a model for enhancing diversity and retention

Published:06 August 2019Publication History
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  1. Armstrong, A. Successful First-Year Experience for At-Risk Students. in Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. (Seattle, Washington, USA, 2017), 45--50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Beaubouef, T. and Mason, J. Why the High Attrition Rate for Computer Science Students: Some Thoughts and Observations. SIGCSE Bulletin. (June 2005), 103--106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chen, X. STEM Attrition: College students' path into and out of STEM fields. National Center for Educational Statistics, US Department of Education, Washington D.C. (2013)Google ScholarGoogle Scholar
  4. Chowdhury, B., Bart, A. C., and Kafura, D. Analysis of Collaborative Learning in a Computational Thinking Class. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education. Baltimore, Maryland, USA, (2018), 143--148. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Computing Research Association. Generation CS: Computer Science Undergraduate Enrollments Surge Since 2006 (2017); https://cra.org/data/generation-cs/. Accessed 2018 October 25.Google ScholarGoogle Scholar
  6. Dennehy, T. and Dasgupta, N. Female peer mentors early in college increase women's positive academic experiences and retention in engineering. In Proceedings of the National Academy of Science, 114, 23 (2017): 5964--5969.Google ScholarGoogle ScholarCross RefCross Ref
  7. Fullilove, R., and Treisman, P. Mathematics Achievement Among African American Undergraduates at the University of California, Berkeley: An Evaluation of the Mathematics Workshop Program. The Journal of Negro Education, 25, 3 (1990), 463--478.Google ScholarGoogle Scholar
  8. Gandhi-Lee, S., et al. Faculty Perceptions of the Factors Influencing Success in STEM Fields. Journal of Research in STEM Education, 1, 1 (2015), 30--44.Google ScholarGoogle Scholar
  9. Gurin, P., et al. Diversity and Higher Education: Theory and Impact on Educational Outcomes. Harvard Education Review, 72, 3 (2002), 330--367.Google ScholarGoogle Scholar
  10. Hughes, B. B. Coming out in STEM: Factors affecting retention of sexual minority STEM students. Science Advances, 4, 3 (2018). doi>Google ScholarGoogle ScholarCross RefCross Ref
  11. Kern, C.W., Fagley, N.S., and Miller, P.M. Correlates of College Retention and GPA: Learning and Study Strategies, Testwiseness, Attitudes, and ACT. Journal of College Counseling, 1, 1 (1998), 26--34.Google ScholarGoogle ScholarCross RefCross Ref
  12. Lederman, D. Who Changes Majors? (Not Who You Think). Inside Higher Ed. December 8, 2018; https://www.insidehighered.com/news/2017/12/08/nearly-third-students-change-major-within-three-years-math-majors-most. Accessed 2018 October 24.Google ScholarGoogle Scholar
  13. Marshall, L., et al. Exploration of Participation in Student Software Engineering Teams. ACM Transactions on Computing Education (February 2016) Art 5. doi> Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. McClung, G.W. and Werner, M.W. A Market/Value Based Approach to Satisfy Stakeholders of Higher Education. Journal of Marketing for Higher Education, 18 (2008), 102--123.Google ScholarGoogle ScholarCross RefCross Ref
  15. Nicpon, M., et al. The relationship of loneliness and social support with college freshmen's academic performance and persistence. Journal of College Student Retention: Research, Theory & Practice, 8, 3 (2007).Google ScholarGoogle Scholar
  16. Ohland, M., et al. Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97, 3 (2008), 259--278.Google ScholarGoogle ScholarCross RefCross Ref
  17. Paulson, A. Transition to College: Nonacademic Factors that Influence Persistence for Underprepared Community College Students. Doctoral Thesis: University of Nebraska-Lincoln (2012).Google ScholarGoogle Scholar
  18. Petrilli, S. The Mathematics Orientation Seminar: a tool for building a strong and inclusive mathematical community in the freshman year. Journal of Humanistic Mathematics (2018).Google ScholarGoogle Scholar
  19. Rayle, A.D. and Chung, K-I. Revisiting first-year college students' mattering: Social support, academic stress, and the mattering experience. Journal of College Student Retention: Research, Theory & Practice, 9, 1 (2008).Google ScholarGoogle Scholar
  20. Rothman, L. Putting the Rising Cost of College in Perspective; https://time.com/4472261/college-cost-history/. Accessed July 20, 2019.Google ScholarGoogle Scholar
  21. Sinclair, J. and Butler, M. Measures of Student Engagement in Computer Science. in Proceedings of ITICSE'15. (Vilnius, Lithiania, July 04--08, 2015), 242--247. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Smith, C. The Impact of Part-Time Faculty on Student Retention: A Case Study in Higher Education. Doctoral Thesis: University of Missouri-Kansas City (2010).Google ScholarGoogle Scholar
  23. Terenzini, P.T., et al. Racial and Ethnic Diversity in the Classroom: Does It Promote Student Learning? The Journal of Higher Education, 72, 5 (2001), 509--531.Google ScholarGoogle Scholar
  24. Williams, K. Writing about the Problem-Solving Process to Improve Problem-Solving Performance" The Mathematics Teacher (2003), 185--187.Google ScholarGoogle Scholar
  25. Xu Y.J. and Webber, K.L. College Student Retention on a Racially Diverse Campus: A Theoretically Guided Reality Check. Journal of College Student Retention: Research, Theory & Practice; doi>Google ScholarGoogle Scholar
  26. Zimmerman, B.J. A Social Cognitive View of Self-Regulated Academic Learning. Journal of Educational Psychology, 81, 3 (1989), 329--339.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Inroads
      ACM Inroads  Volume 10, Issue 3
      September 2019
      51 pages
      ISSN:2153-2184
      EISSN:2153-2192
      DOI:10.1145/3355890
      Issue’s Table of Contents

      Copyright © 2019 ACM

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      • Published: 6 August 2019

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