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dc.contributor.authorFishberg, Andrew
dc.contributor.authorGaetz, Marisa
dc.contributor.authorNisser, Martin
dc.contributor.authorCafferty, Carole
dc.contributor.authorPerlman, Lee
dc.contributor.authorSoicher, Raechel N.
dc.contributor.authorLong, Joshua
dc.date.accessioned2026-03-04T17:22:58Z
dc.date.available2026-03-04T17:22:58Z
dc.date.issued2026-02-17
dc.identifier.isbn979-8-4007-2256-1
dc.identifier.urihttps://hdl.handle.net/1721.1/165016
dc.description.abstractIncarcerated students enrolled in education programs in prisons and jails experience a range of benefits, from reduced recidivism to improved psychosocial well-being. With respect to computer science education, little is still known about how courses impact incarcerated students' experiences, though recent work has explored fears and confidence of incarcerated students enrolled in computer science courses. Our work investigates incarcerated students' changes in self-efficacy over multiple iterations of four different classes. Our findings showed that all subscales of computer programming self-efficacy (algorithm, control, cooperation, debugging, and logic), but not generalized self-efficacy, were statistically significantly increased at the end of the courses relative to the beginning (p < 0.001, n = 36). A similar pattern of results across the full sample (n = 188) adds additional support for the veracity of the effects found in the subset of paired data. Additionally, we share students' qualitative data to add nuance to our findings and emphasize the importance of these educational experiences for incarcerated students' personal and professional development.en_US
dc.publisherACM|Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1en_US
dc.relation.isversionofhttps://doi.org/10.1145/3770762.3772650en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleCS Ed. in Prisons and Jails: Evidence of Computer Programming Self-Efficacy Growth Across Multiple Course Offeringsen_US
dc.typeArticleen_US
dc.identifier.citationAndrew Fishberg, Marisa Gaetz, Martin Nisser, Carole Cafferty, Lee Perlman, Raechel N. Soicher, and Joshua Long. 2026. CS Ed. in Prisons and Jails: Evidence of Computer Programming Self-Efficacy Growth Across Multiple Course Offerings. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1 (SIGCSE TS 2026), Vol. 1. Association for Computing Machinery, New York, NY, USA, 337–343.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Aerospace Controls Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.departmentMIT Experimental Study Groupen_US
dc.contributor.departmentMassachusetts Institute of Technology. Teaching and Learning Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2026-03-01T08:46:36Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2026-03-01T08:46:36Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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