A Longitudinal Study Following CS Students' Progression
Pages 642 - 643
Abstract
A CS degree is traditionally composed of many different courses which often build on each other. This means students need prerequisites from previous courses to succeed in follow-up courses. In this study, I will follow a group of students through their CS degree to better understand which prerequisites are necessary at different junctures of their education and how the students are affected when prerequisites are missing.
References
[1]
Albert Bandura and Nancy E Adams. 1977. Analysis of self-efficacy theory of behavioral change. Cognitive therapy and research, Vol. 1, 4 (1977), 287--310.
[2]
Sara Hooshangi, Margaret Ellis, and Stephen H. Edwards. 2022. Factors Influencing Student Performance and Persistence in CS2. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (Providence, RI, USA) (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 286--292. https://doi.org/10.1145/3478431.3499272
[3]
Trudy Howles. 2007. Preliminary Results of a Longitudinal Study of Computer Science Student Trends, Behaviors and Preferences. J. Comput. Sci. Coll., Vol. 22, 6 (jun 2007), 18--27.
[4]
Viggo Kann. 2019. Programme Integrating Courses Making Engineering Students Reflect. In Theorizing STEM Education in the 21st Century, Kehdinga George Fomunyam (Ed.). IntechOpen, Rijeka, Chapter 14. https://doi.org/10.5772/intechopen.88253
[5]
Jane Martin. 2018. Research Methods in Education 8th edition edited by Louis Cohen, Lawrence Manion and Keith Morrison 8th ed.). Routledge, 323--333.
[6]
Keith Nolan and Susan Bergin. 2016. The Role of Anxiety When Learning to Program: A Systematic Review of the Literature. In Proceedings of the 16th Koli Calling International Conference on Computing Education Research (Koli, Finland) (Koli Calling '16). Association for Computing Machinery, New York, NY, USA, 61--70. https://doi.org/10.1145/2999541.2999557
[7]
Judy Sheard, Angela Carbone, Selby Markham, Angas Hurst, Des Casey, and Chris Avram. 2008. Performance and progression of first year ICT students., Vol. 78 (01 2008).
[8]
Matthew F. Tennyson and Marc Beck. 2018. A Study of Knowledge Retention in Introductory Programming Courses. J. Comput. Sci. Coll., Vol. 33, 4 (apr 2018), 13--20.
[9]
Sander Valstar, Sophia Krause-Levy, Adrian Salguero, Leo Porter, and William G. Griswold. 2021. Proficiency in Basic Data Structures among Various Subpopulations of Students at Different Stages in a CS Program .Association for Computing Machinery, New York, NY, USA, 429--435. https://doi-org.focus.lib.kth.se/10.1145/3430665.3456337
[10]
Brenda Cantwell Wilson and Sharon Shrock. 2001. Contributing to Success in an Introductory Computer Science Course: A Study of Twelve Factors. In Proceedings of the Thirty-Second SIGCSE Technical Symposium on Computer Science Education (Charlotte, North Carolina, USA) (SIGCSE '01). Association for Computing Machinery, New York, NY, USA, 184--188. https://doi.org/10.1145/364447.364581
Index Terms
- A Longitudinal Study Following CS Students' Progression
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July 2022
686 pages
ISBN:9781450392006
DOI:10.1145/3502717
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- Brett A. Becker,
- Keith Quille,
- Mikko-Jussi Laakso,
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- Erik Barendsen,
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Published: 07 July 2022
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