skip to main content
10.1145/1508865.1508875acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
research-article

CS1 students speak: advice for students by students

Published:04 March 2009Publication History

ABSTRACT

We collected advice on how to succeed at learning to program from 164 CS1 students at 3 institutions during a "saying is believing" intervention designed to encourage a growth mindset. More students gave general advice (63%) than programming-specific (23%) or attitudinal advice (34%), despite being prompted to encourage future students to develop a growth mindset toward programming. Advice categories and quotes offer educators insights into student beliefs and practices and suggest a framework for considering how best to advise students. We discuss the implications of students offering advice to other students and provide a handout of representative advice intended for distribution to students in introductory programming courses.

References

  1. J. Aronson, C. Fried, and C. Good. Reducing the effects of stereotype threat on African American college students by shaping theories of intelligence. Journal of Experimental Social Psychology, 38(2):113--125, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  2. S. Bergin, R. Reilly, and D. Traynor. Examining the role of self-regulated learning on introductory programming performance. In ICER '05: Proceedings of the 2005 international workshop on Computing education research, pages 81--86, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Corbin and A. Strauss. Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1):3--21, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  4. C. S. Dweck. Self-Theories: Their role in motivation, personality and development. Taylor & Francis, 1999.Google ScholarGoogle Scholar
  5. P. Kinnunen, R. Mccartney, L. Murphy, and L. Thomas. Through the eyes of instructors: a phenomenographic investigation of student success. In ICER '07: Proceedings of the third international workshop on Computing education research, pages 61--72, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. PR. Mccartney, A. Eckerdal, J. E. Mostrom, K. Sanders, and C. Zander. Successful students' strategies for getting unstuck. SIGCSE Bull., 39(3):156--160, September 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. L. Murphy and L. Thomas. Dangers of a fixed mindset: Implications of self-theories research for computer science education. In ITiCSE '08: Proceedings of the 13th annual conference on Innovation and technology in computer science education, pages 271--275, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. D. N. Perkins, C. Hancock, R. Hobbs, F. Martin, and R. Simmons. Conditions of Learning in Novice Programmers. In E. Soloway and J. C. Spohrer, editors, Studying the Novice Programmer, pages 261--279. Lawrence Erlbaum Associates, 1986.Google ScholarGoogle Scholar
  9. B. Simon, B. Hanks, L. Murphy, S. Fitzgerald, R. McCauley, L. Thomas, and C. Zander. Saying isn't necessarily believing: In uencing self-theories in computing. In Proceedings of ICER 2008, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. S. Wiedenbeck. Factors affecting the success of non-majors in learning to program. In Proc. of the 1st Intl. Computing Education Research Workshop (ICER 2005), pages 13--24, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. CS1 students speak: advice for students by students

    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
      SIGCSE '09: Proceedings of the 40th ACM technical symposium on Computer science education
      March 2009
      612 pages
      ISBN:9781605581835
      DOI:10.1145/1508865

      Copyright © 2009 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 ACM 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: 4 March 2009

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate1,595of4,542submissions,35%

      Upcoming Conference

      SIGCSE Virtual 2024

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader