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Differences in Intention to Major in Computing Across CS1

Published: 06 March 2023 Publication History

Abstract

Many students are first exposed to computing in a programming course such as CS1. This course affects their understanding of computing and may affect their intention to major in the program. We investigate the intention to major in computing in relation to demographic factors and factors related to academic success. We deployed surveys at the beginning and end of a CS1 course to gauge students' level of prior experience in programming, elicit demographic factors such as gender and parental education level, and identify their intention to major in computing. Grades from CS1 and CS2 were also collected. Our results suggest that most students do not change their intention to major in computing after taking CS1. Students who were more likely to intend to major in programming at the beginning of the course were those with prior experience, those who identified as men, or students who had a parent with a bachelor's or post-grad degree. We also find that students' grades correlate to their change in program intention. This reinforces the need to change perceptions about computing early, prior to CS1.

References

[1]
Lecia J Barker, Charlie McDowell, and Kimberly Kalahar. 2009. Exploring factors that influence computer science introductory course students to persist in the major. ACM SIGCSE Bulletin 41, 1 (2009), 153--157.
[2]
Maureen Biggers, Anne Brauer, and Tuba Yilmaz. 2008. Student perceptions of computer science: a retention study comparing graduating seniors with cs leavers. ACM SIGCSE Bulletin 40, 1 (2008), 402--406.
[3]
Linda J Sax, Kaitlin NS Newhouse, Joanna Goode, Tomoko M Nakajima, Max Skorodinsky, and Michelle Sendowski. 2022. Can computing be diversified on "principles" alone? Exploring the role of AP computer science courses in students' major and career intentions. ACM Transactions on Computing Education (TOCE) 22, 2 (2022), 1--26.

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cover image ACM Conferences
SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2
March 2023
1481 pages
ISBN:9781450394338
DOI:10.1145/3545947
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2023

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  1. cs1
  2. intention to major
  3. parent education
  4. prior experience

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Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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