skip to main content
10.1145/2729094.2742632acmconferencesArticle/Chapter ViewAbstractPublication PagesiticseConference Proceedingsconference-collections
research-article

Examining Classroom Interventions to Reduce Procrastination

Published:22 June 2015Publication History

ABSTRACT

Procrastination is a common problem for students. Many believe procrastination may keep otherwise competent students from succeeding. However, the most effective interventions for procrastination are resource-intensive---providing supplemental training or courses in study skills and self-regulation. These techniques do not scale to large courses. This paper investigates three new classroom interventions designed to be low-cost and low-effort to implement. Reflective writing assignments ask students to reflect on how their time management choices affect their work. Project schedule sheets require students to plan out and schedule specific tasks on their projects. E-mail situational awareness alerts give students feedback on how their progress compares to others, and to expectations. 353 students over two semesters of a junior-level advanced data structures course participated in a study where these interventions were investigated. While neither reflective writing assignments nor schedule sheets produced any significant effect, e-mail alerts were associated with both significantly reduced rates of late program submissions, and increased rates of early program submissions. As a result, this intervention shows promise for further investigation as a potential strategy for reducing late submissions among students.

References

  1. A. Allevato and S. Edwards. Effects of extra credit opportunities on students' time management on programming assignments. In Proceedings of the IEEE 43rd Annual Frontiers in Education Conference, pages 1831--1836. IEEE, October 2013.Google ScholarGoogle Scholar
  2. C. Bonwell and J. Eison. Active Learning: Creating Excitement in the Classroom. School of Education and Human Development, George Washington University, 1991.Google ScholarGoogle Scholar
  3. S. H. Edwards. Using software testing to move students from trial-and-error to reflection-in-action. In Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education, SIGCSE '04, pages 26--30, New York, NY, USA, 2004. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. H. Edwards and M. A. Pérez-Quiñones. Experiences using test-driven development with an automated grader. J. Comput. Sci. Coll., 22(3):44--50, Jan. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. H. Edwards, J. Snyder, M. A. Pérez-Quiñones, A. Allevato, D. Kim, and B. Tretola. Comparing effective and ineffective behaviors of student programmers. In Proceedings of the Fifth International Workshop on Computing Education Research, pages 3--14. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. M. Klassen, L. L. Krawchuk, and S. Rajani. Academic procrastination of undergraduates: Low self-efficacy to self-regulate predicts higher levels of procrastination. Contemporary Educational Psychology, 33(4):915--931, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  7. C. H. Lay. At last, my research article on procrastination. Journal of Research in Personality, 20(4):474--495, 1986.Google ScholarGoogle ScholarCross RefCross Ref
  8. J. Spolsky. Painless software schedules. http://www. joelonsoftware.com/articles/fog0000000245.html. Accessed: 2015-01-11.Google ScholarGoogle Scholar
  9. D. Stead. A review of the one-minute paper. Active Learning in Higher Education, 6(2):118--131, July 2005.Google ScholarGoogle ScholarCross RefCross Ref
  10. P. Steel. The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1):65, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  11. J. Stodder. Experimental moralities: Ethics in classroom experiments. The Journal of Economic Education, 29(2):127--138, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  12. D. M. Tice and R. F. Baumeister. Longitudinal study of procrastination, performance, stress, and health: The costs and benefits of dawdling. Psychological Science, pages 454--458, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  13. B. W. Tuckman. The development and concurrent validity of the procrastination scale. Educational and Psychological Measurement, 51(2):473--480, 1991.Google ScholarGoogle ScholarCross RefCross Ref
  14. B. W. Tuckman. Relations of academic procrastination, rationalizations, and performance in a web course with deadlines 1. Psychological Reports, 96(3c):1015--1021, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  15. L. Williams. Lessons learned from seven years of pair programming at North Carolina State University. SIGCSE Bull., 39(4):79--83, Dec. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Examining Classroom Interventions to Reduce Procrastination

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ITiCSE '15: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education
          June 2015
          370 pages
          ISBN:9781450334402
          DOI:10.1145/2729094

          Copyright © 2015 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 22 June 2015

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          ITiCSE '15 Paper Acceptance Rate54of124submissions,44%Overall Acceptance Rate552of1,613submissions,34%

          Upcoming Conference

          ITiCSE 2024

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader