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The Persistent Effect of Pre-College Computing Experience on College CS Course Grades

Published: 21 February 2018 Publication History

Abstract

Many college computer science majors have little or no pre-college computing experience. Previous work has shown that inexperienced students under-perform their experienced peers when placed in the same introductory courses, and are more likely to drop out of the CS program. However, not much is known about what, if any, differences may persist beyond the introductory sequence for students who remain in the program. We conducted a study across all levels of a CS program at a large public university in the United States to determine whether grade differences exist between students with and without pre-college experience, and if so, for what types of experiences. We find significant grade differences in courses at all levels of the program. We further find that students who took AP Computer Science receive significantly higher average grades---by up to a half grade---in nearly all courses we studied. Pre-college experience appears to have a weaker relationship with retention and with low-stakes assessment grades. We discuss the limitations of these findings and implications for high school and college level CS courses and programs.

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    cover image ACM Conferences
    SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
    February 2018
    1174 pages
    ISBN:9781450351034
    DOI:10.1145/3159450
    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]

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    Publication History

    Published: 21 February 2018

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    Author Tags

    1. AP computer science
    2. computing experience
    3. higher education
    4. performance

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    SIGCSE '18 Paper Acceptance Rate 161 of 459 submissions, 35%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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    • (2024)Transfer Student Receptivity in Patriarchal STEM Contexts: Evidence of Gendered Transfer Student Stigma in Computer Science From a Mixed Methods StudyCommunity College Review10.1177/00915521231218233Online publication date: 4-Jan-2024
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    • (2024)Reaching Black Women Interested in Computing: The Importance of Organizational TiesProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630914(151-157)Online publication date: 7-Mar-2024
    • (2024)Examining Intention to Major in Computer Science: Perceived Potential and ChallengesProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630843(1237-1243)Online publication date: 7-Mar-2024
    • (2024)Evaluating Mastery-oriented Grading in an Intensive CS1 CourseProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630841(303-309)Online publication date: 7-Mar-2024
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    • (2023)Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569752(889-895)Online publication date: 2-Mar-2023
    • (2023)The Impact of High School Region Socioeconomic Status on Computer Science Student Performance2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343191(1-9)Online publication date: 18-Oct-2023
    • (2022)On the Effect of Onboarding Computing Students without Programming-Confidence or -ExperienceProceedings of the 22nd Koli Calling International Conference on Computing Education Research10.1145/3564721.3564724(1-8)Online publication date: 17-Nov-2022
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