abstract

Underrepresented Students' Confidence in Information Technology Content Areas

Authors:

Alan Franklin,

Viloshanakumaran Veeramani,

Malinda Suprise,

Belle WoodwardAuthors Info & Claims

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

Page 297

https://doi.org/10.1145/3368308.3415429

Published: 07 October 2020 Publication History

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Abstract

Coyler & Woodward surveyed students within the IT discipline and assessed student self-confidence in various content areas (e.g., computer programming, mathematics, crytography, etc.) and recommended that additional content-based questions be developed to assess student self-confidence [1]. This work-in-progress manuscript proposes a reinspection of student self-confidence as pertains to IT content areas, as well as an exploration of potential differences in self-confidence for students in underrepresented groups.

References

[1]

Colyar, J. & Woodward, B. (2008). Women Students? Confidence in Information Technology Content Areas. Information Systems Education Journal, 6(62), 3--14.

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[2]

Ellis, J., Fosdick, B., & Rasmussen, C. (2015). Women 1.5 Times More Likely to Leave STEM Pipeline After Calculus Compared to Men: Lack of Mathematical Confidence a Potential Culprit. https://doi-org.proxy.lib.siu.edu/10.1371/journal.pone.0157447

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[3]

London, B., Rosenthal, L., Levy, S. R., & Lobel, M. (2011). The influences of perceived identity compatibility and social support on women in nontraditional fields during the college transition. Basic and Applied Social Psychology, 33(4), 304--321.

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[4]

MacPhee, D., Farro, S., & Canetto, S. S. (2013). Academic Self-Efficacy and Performance of Underrepresented STEM Majors: Gender, Ethnic, and Social Class Patterns. Analyses of Social Issues & Public Policy, 13(1), 34

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Index Terms

Underrepresented Students' Confidence in Information Technology Content Areas
1. Social and professional topics
  1. Professional topics
    1. Computing education
  2. User characteristics
    1. Gender
      1. Women
    2. Race and ethnicity

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Published In

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

October 2020

446 pages

ISBN:9781450370455

DOI:10.1145/3368308

General Chairs:
Deepak Khazanchi
University of Nebraska at Omaha, USA
,
Harvey Siy,
Program Chairs:
George Grispos,
Tenace Kwaku Setor
University of Nebraska at Omaha, USA

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: 07 October 2020

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SIGITE '20

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SIGITE

SIGITE '20: The 21st Annual Conference on Information Technology Education

October 7 - 9, 2020

Virtual Event, USA

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Overall Acceptance Rate 176 of 429 submissions, 41%

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