Article

Large dataset offers view of math and computer self-efficacy among computer science undergraduates

Authors:

Antonio M. Lopez, Jr.,

Marguerite S. Giguette,

Lisa J. SchulteAuthors Info & Claims

ACMSE '06: Proceedings of the 44th annual ACM Southeast Conference

Pages 158 - 163

https://doi.org/10.1145/1185448.1185484

Published: 10 March 2006 Publication History

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Abstract

First-year data from a large, nationwide, three-year longitudinal study of undergraduates in the computing disciplines have been obtained and are in the process of being analyzed. Participants were from both Historically Black Colleges and Universities and Predominantly White Institutions. This paper presents an initial analysis of just two of the twelve variables being investigated -- math self-efficacy and computer self-efficacy -- and focuses primarily on computer science undergraduates. Comparisons are made between the first-year computer science subjects and first-year subjects from non-computing disciplines who also participated in the survey in order to verify commonly held views about these two variables. Among the computer science subjects, the two variables are examined more closely with respect to gender, ethnicity, university type, and year in school.

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Cited By

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Hur JCunningham K(2024)Profiling Conversational Programmers at University: Insights into their Motivations and Goals from a Broad Sample of Non-MajorsProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671123(293-311)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671123
Freeman KWinston-Proctor CGangloff-Bailey FJones J(2021)Racial Identity-Rooted Academic Motivation of First-Year African American Students Majoring in STEM at an HBCUFrontiers in Psychology10.3389/fpsyg.2021.66940712Online publication date: 8-Jun-2021
https://doi.org/10.3389/fpsyg.2021.669407
Aspray WAspray W(2016)Opening STEM Careers to African AmericansWomen and Underrepresented Minorities in Computing10.1007/978-3-319-24811-0_3(31-57)Online publication date: 12-Jul-2016
https://doi.org/10.1007/978-3-319-24811-0_3
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Index Terms

Large dataset offers view of math and computer self-efficacy among computer science undergraduates
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education

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ACMSE '06: Proceedings of the 44th annual ACM Southeast Conference

March 2006

823 pages

ISBN:1595933158

DOI:10.1145/1185448

General Chair:
Ronaldo Menezes
Florida Institute of Technology

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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Association for Computing Machinery

New York, NY, United States

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Published: 10 March 2006

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ACM SE06

ACM SE06: ACM Southeast Regional Conference

March 10 - 12, 2006

Florida, Melbourne

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ACMSE '06 Paper Acceptance Rate 100 of 244 submissions, 41%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Hur JCunningham K(2024)Profiling Conversational Programmers at University: Insights into their Motivations and Goals from a Broad Sample of Non-MajorsProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671123(293-311)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671123
Freeman KWinston-Proctor CGangloff-Bailey FJones J(2021)Racial Identity-Rooted Academic Motivation of First-Year African American Students Majoring in STEM at an HBCUFrontiers in Psychology10.3389/fpsyg.2021.66940712Online publication date: 8-Jun-2021
https://doi.org/10.3389/fpsyg.2021.669407
Aspray WAspray W(2016)Opening STEM Careers to African AmericansWomen and Underrepresented Minorities in Computing10.1007/978-3-319-24811-0_3(31-57)Online publication date: 12-Jul-2016
https://doi.org/10.1007/978-3-319-24811-0_3
Wolf J(2014)Do IT students prefer doctors who use IT?Computers in Human Behavior10.1016/j.chb.2014.03.02035(287-294)Online publication date: Jun-2014
https://doi.org/10.1016/j.chb.2014.03.020
Ong MWright CEspinosa LOrfield G(2011)Inside the Double Bind: A Synthesis of Empirical Research on Undergraduate and Graduate Women of Color in Science, Technology, Engineering, and MathematicsHarvard Educational Review10.17763/haer.81.2.t022245n7x4752v281:2(172-209)Online publication date: 13-Jun-2011
https://doi.org/10.17763/haer.81.2.t022245n7x4752v2
Richards B(2009)Representation of women in CSACM SIGCSE Bulletin10.1145/1539024.150890141:1(96-100)Online publication date: 4-Mar-2009
https://dl.acm.org/doi/10.1145/1539024.1508901
Richards BFitzgerald SGuzdial MLewandowski GWolfman S(2009)Representation of women in CSProceedings of the 40th ACM technical symposium on Computer science education10.1145/1508865.1508901(96-100)Online publication date: 4-Mar-2009
https://dl.acm.org/doi/10.1145/1508865.1508901

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Diversity Barriers in K-12 Computer Science Education: Structural and Social

Cultural representations of gender among u. s. computer science undergraduates: statistical and data mining results

Social Perceptions in Computer Science and Implications for Diverse Students

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