Increasing technical excellence, leadership and commitment of computing students through identity-based mentoring
Abstract
Recent years have seen a growing awareness in the computing education community that initiatives outside the classroom are vital for retaining students and preparing them for a collaborative and dynamic professional environment. Particularly important are programs that develop rich technical skills while increasing students' interest in computing disciplines. We present Computing Identity Mentoring, an intervention designed to increase commitment to computing while enhancing students' technical and leadership skills. This program was implemented at seven universities during 2008-2009. Preliminary results suggest that Computing Identity Mentoring contributes to students' self-efficacy regarding computing and leadership, and solidifies students' commitment to a career in computing. This paper presents early findings on the effectiveness of the approach and illustrates Computing Identity Mentoring in the context of three of the seven institutions where it has been implemented.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Studies show that students benefit by receiving support in developing a sense of belonging to the professional field, as well as support in developing their professional identity.
“For example, studies show that students benefit by receiving support in developing a sense of belonging to the professional field, as well as support in developing their professional identity [33].”
From Supporting underrepresented students in health sciences: a fuzzy cognitive mapping approach to program evaluation (2024) · cites this paper as [33]
Cited by
Sorted by citations
Chiang, D. F., Guerrero, S. A., Sexton, E. C., & Gardner, S. S. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05292-7 · Cited by 2 · see citing works
- Authors
- Boyer, K. E., Thomas, E. N., Rorrer, A. S., Cooper, D., & Vouk, M. A.
- Affiliations
- North Carolina State University (US)
- Florida Polytechnic University (US)
- University of North Carolina at Charlotte (US)
- Venue
- Proceedings of the 41st ACM technical symposium on Computer science education
- Publisher
- ACM
- Published
- 2010-03-10
- Pages
- 167-171
- OpenAlex
- W1983121406
- Cited by
- 39
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 2 · 2013: 3 · 2012: 1
- FWCI
- 14.75
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Technical Symposium on Computer Science Education (SIGCSE) (publishedVersion)
- Funders
- National Science Foundation
- North Carolina State University
- Topics
- Social Sciences › Safety Research › Career Development and Diversity
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- computing students, student retention, leadership skills, technical skills, self-efficacy, computing education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review