A Qualitative Case Study of Historically Underserved Community College Students’ Experiences in Information Technology Programs

Alfaiz A. Hidayat H. Yandri H. Sari A. T. L. Sendayu F. S. Suarja S. Arjoni A. (2021). Identification of perceived self-efficacy to predict student’s awareness in career readiness. Islamic Guidance and Counseling Journal, 4(1), 124–132. https://doi.org/10.25217/igcj.v4i1.933

Alshahrani A. Ross I. Wood M. I. (2018, August). Using social cognitive career theory to understand why students choose to study computer science [Conference session]. Proceedings of the 2018 ACM Conference on International Computing Education Research (pp. 205–214). https://doi.org/10.1145/3230977.3230994

Armstrong D. J. Nelms J. E. Riemenschneider C. K. Reid M. F. (2012). Revisiting the barriers facing women in information systems. Journal of Computer Information Systems, 53(2), 65–74. https://doi.org/10.1080/08874417.2012.11645615

Armstrong D. J. Riemenschneider C. K. Giddens L. G. (2018). The advancement and persistence of women in the information technology profession: An extension of Ahuja’s gendered theory of IT career stages. Information Systems Journal, 28(6), 1082–1124. https://doi.org/10.1111/isj.12185

Bahr P. R. Jackson G. McNaughtan J. Oster M. Gross J. (2017). Unrealized potential: Community college pathways to STEM baccalaureate degrees. Journal of Higher Education, 88(3), 430–478. https://doi.org/10.1080/00221546.2016.1257313

Bandura A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295x.84.2.191

Bandura A. (1997). Self-efficacy: The exercise of control. Macmillan.

Bandura A. Locke E. A. (2003). Negative self-efficacy and goal effects revisited. Journal of Applied Psychology, 88(1), 87–99. https://doi.org/10.1037/0021-9010.88.1.87

Blaney J. M. Barrett J. Choi Y. H. (2022). Diversifying STEM pathways: A look into upward transfer students’ sense of belonging in computing. New Directions for Community Colleges, 2022(198), 63–75. https://doi.org/10.1002/cc.20511

Boggs G. R. (2011). The American community college: From access to success. About Campus:Enriching the Student Learning Experience, 16(2), 2–10. https://doi.org/10.1002/abc.20055

Buzzetto-More N. A. Ukoha O. Rustagi N. (2010). Unlocking the barriers to women and minorities in computer science and information systems studies: Results from a multi-methodolical study conducted at two minority serving institutions. Journal of Information Technology Education: Research, 9(1), 115–131. https://doi.org/10.28945/1167

Byars-Winston A. Rogers J. G. (2019). Testing intersectionality of race/ethnicity × gender in a social–cognitive career theory model with science identity. Journal of Counseling Psychology, 66(1), 30–44. https://doi.org/10.1037/cou0000309

Cahill M. Lee K. A. (2018). The Case Study. In Small R. V. Mardis M. A. (Eds.), Research methods for librarians and educators: Practical applications in formal and informal learning environments (pp. 167–185). Bloomsbury Publishing.

Cain C. (2012). Underrepresented groups in gender and STEM: The case of black males in CISE [Conference session]. Proceedings of the 50th Annual Conference on Computers and People Research (pp. 97–102). https://doi.org/10.1145/2214091.2214118

Cain C. Trauth E. (2015). Theorizing the underrepresentation of Black males in information technology (IT) [Conference session]. Proceedings of the 21st Americas Conference on Information Systems, Puerto Rico.

Carayon P. Haims M. C. Brunette M. J. Hoonakker P. (2002). Quality of working life among women and minorities in the information technology workforce: A pilot study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 46(15), 1379–1383. https://doi.org/10.1177/154193120204601514

Charleston L. J. George P. L. Jackson J. F. L. Berhanu J. Amechi M. H. (2014). Navigating underrepresented STEM spaces: Experiences of Black women in U.S. Computing science higher education programs who actualize success. Journal of Diversity in Higher Education, 7(3), 166–176. https://doi.org/10.1037/a0036632

Chen B. Bastedo K. Howard W. (2018). Exploring Best Practices for online STEM courses: Active learning, Interaction & assessment design. Online Learning, 22(2), 59–75. https://doi.org/10.24059/olj.v22i2.1369

Cheryan S. Ziegler S. A. Montoya A. K. Jiang L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35. https://doi.org/10.1037/bul0000052

Chu J. Morreale P. Press M. (2020). Workforce and career readiness for computing and technology students. Journal of Computing Sciences in Colleges, 35(8), 76–86.

Claybourn C. (2022, December 14). College majors with the best return on investment. U.S. News and World Report. https://www.usnews.com/education/best-colleges/articles/college-majors-with-the-best-return-on-investment

Corbin J. Strauss A. (Eds.). (2008). The basics of qualitative research (3rd ed.). Sage Publications.

Crenshaw K. (1994). Mapping the margins: Intersectionality, identity politics, and violence against women of color. In Fineman M. A. Mykitiuk R. (Eds.), The public nature of private violence (pp. 93–118). Routledge.

Crenshaw K. (2013). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory, and antiracist politics. In Maschke K. (Ed.), Feminist legal theories (pp. 23–51). Routledge.

Creswell J. W. Miller D. L. (2000). Determining validity in qualitative inquiry. Theory Into Practice, 39(3), 124–130. https://doi.org/10.1207/s15430421tip3903_2

Creswell J. W. Plano Clark V. L. (2011). Designing and conducting mixed methods research. Sage Publications.

Denner J. Potter S. Anderson P. Torres D. (2023). What predicts the momentum of information and communications technologies students in community college? Research in Higher Education, 64(5), 623–653. https://doi.org/10.1007/s11162-022-09721-8

Draganov T. Kim J. Yoon S. W. (2025). Increasing retention of underrepresented students in STEM fields at California community colleges: A study of the STEM2 program. Journal of College Student Retention Research Theory and Practice, 26(4), 1147–1164. https://doi.org/10.1177/15210251221149648

Erlandson D. A. (1993). Doing naturalistic inquiry: A guide to methods. Sage.

Espinosa L. (2011). Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence. Harvard Educational Review, 81(2), 209–241. https://doi.org/10.17763/haer.81.2.92315ww157656k3u

Evans C. (2012). Recruitment initiatives aimed at increasing the gender diversity within ITEC employment: Not so “gender neutral”? Equality. Diversity and Inclusion: An International Journal, 31(8), 741–752. https://doi.org/10.1108/02610151211277608

Flaherty C. (2023). Student survey reveals gaps in core academic advising functions. Inside Higher Education. https://www.insidehighered.com/news/2023/03/01/student-survey-reveals-gaps-core-academic-advising-functions

Flyvbjer B. (2011). Case study. The Sage handbook of qualitative research (Vol. 4, pp. 301–316). Sage Publications.

Frachtenberg E. Kaner R. D. (2022). Underrepresentation of women in computer systems research. PLoS One, 17(4), e0266439. https://doi.org/10.1371/journal.pone.0266439

Fry R. Kennedy B. Funk C. (2021, April 1). STEM jobs see uneven progress in increasing gender, racial and ethnic diversity. Pew Research Center (pp. 128). https://www.pewresearch.org/science/wp-content/uploads/sites/16/2021/03/PS_2021.04.01_diversity-in-STEM_REPORT.pdf

Funk C. Parker K. (2018, January 9). Blacks in STEM jobs are especially concerned about diversity and discrimination in the workplace. Pew Research Center. https://www.pewresearch.org/social-trends/2018/01/09/blacks-in-stem-jobs-are-especially-concerned-about-diversity-and-discrimination-in-the-workplace/

Glaser B. G. Strauss A. L. (Eds.). (2017). The discovery of grounded theory: Strategies for qualitative research (1st ed.). [eBook] Routledge.

Good C. Rattan A. Dweck C. S. (2012). Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102(4), 700–717. https://doi.org/10.1037/a0026659

Haag S. Hubele N. Garcia A. McBeath K. (2007). Engineering undergraduate attrition and contributing factors. International Journal of Engineering Education, 23(5), 929–940.

Hayes O. K. (2023). Undergraduate upperclassmen black male STEM students’ perceptions of academic advising at an HBCU and HSI in southeast. ProQuest Dissertations & Theses A&I; ProQuest Dissertations & Theses Global.

Herrera F. A. Hurtado S. (2011). Developing science, technology, engineering, and mathematics (STEM) career aspirations among under- represented racial minority students. Higher Education Research Institute.

Honicke T. Broadbent J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research and Reviews, 17, 63–84. https://doi.org/10.1016/j.edurev.2015.11.002

Joshi K. D. Trauth E. Kvasny L. Morgan A. J. Payton F. C. (2017). Making black lives matter in the information technology profession: Issues, perspectives, and a call for action. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 48(2), 21–34. https://doi.org/10.1145/3084179.3084183

Kanny M. A. Sax L. J. Riggers-Piehl T. A. (2014). Investigating forty years of STEM research: How explanations for the gender gap have evolved over time. Journal of Women and Minorities in Science and Engineering, 20(2), 127–148. https://doi.org/10.1615/jwomenminorscieneng.2014007246

Kantamneni N. McCain M. R. C. Shada N. Hellwege M. A. Tate J. (2018). Contextual factors in the career development of prospective first-generation college students: An application of social cognitive career theory. Journal of Career Assessment, 26(1), 183–196. https://doi.org/10.1177/1069072716680048

Karanja E. Zaveri J. Ntembe A. (2015). From classroom to executive management - Gender diversity in the information technology field. Journal of Information Technology Management, 26(3), 33–48.

Kim S. H. Kim M. J. (2016). The effect of career preparation program on self-esteem, self-efficacy related career decision-making and career development readiness in university students. Journal of Digital Convergence, 14(4), 407–418. https://doi.org/10.14400/jdc.2016.14.4.407

Kisker C. B. Cohen A. M. Brawer F. B. (2023). The American community college. John Wiley & Sons.

Kvasny L. Joshi K. D. Trauth E. (2011). The influence of self-efficacy, gender stereotypes and the importance of IT skills on college students’ intentions to pursue IT careers [Conference session]. Proceedings of the 2011 iConference (pp. 508–513). https://doi.org/10.1145/1940761.1940831

Lehman K. J. Sax L. J. Zimmerman H. B. (2016). Women planning to major in computer science: Who are they and what makes them unique? Computer Science Education, 26(4), 277–298. https://doi.org/10.1080/08993408.2016.1271536

Lent R. W. Brown S. D. (1996). Social cognitive approach to career development: An overview. Career Development Quarterly, 44(4), 310–321. https://doi.org/10.1002/j.2161-0045.1996.tb00448.x

Lent R. W. Brown S. D. Hackett G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027

Lent R. W. Brown S. D. Hackett G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47(1), 36–49. https://doi.org/10.1037//0022-0167.47.1.36

Lent R. W. Lopez F. G. Sheu H. B. Lopez A. M. (2011). Social cognitive predictors of the interests and choices of computing majors: Applicability to underrepresented students. Journal of Vocational Behavior, 78(2), 184–192. https://doi.org/10.1016/j.jvb.2010.10.006

Lincoln Y. S. Guba E. G. (1985). Naturalistic inquiry. Sage Publications.

Lockman A. S. Schirmer B. R. (2020). Online instruction in higher education: Promising, research-based, and evidence-based practices. Journal of Education and e-Learning Research, 7(2), 130–152. https://doi.org/10.20448/journal.509.2020.72.130.152

Loiacono E. Iyer L. S. Armstrong D. J. Beekhuyzen J. Craig A. (2016). AIS women’s network: Advancing women in IS academia. Communications of the Association for Information Systems, 38(38), 784–802. https://doi.org/10.17705/1cais.03838

Long L. L. Henderson T. S. Williams M. S. (2018). Institutional barriers to Black and Latino male collegians’ success in engineering and related STEM fields [Conference session]. Proceedings of the ASEE Annual Conference & Exposition. https://peer.asee.org/30673

Luo T. So W. W. M. Wan Z. H. Li W. C. (2021). STEM stereotypes predict students’ STEM career interest via self-efficacy and outcome expectations. International Journal of Stem Education, 8(36), 1–13. https://doi.org/10.1186/s40594-021-00295-y

Major C. H. Savin-Baden M. (2010). Qualitative research synthesis: The scholarship of integration in practice. In Savin-Baden M. Major C. H. (Eds.), New approaches to qualitative research (pp. 124–134). Routledge.

Makki B. I. Javaid M. U. Bano S. (2017). Level of work readiness skills, career self-efficacy and career exploration of engineering students. Journal of Engineering and Scientific Research, 4(1), 91–96. https://doi.org/10.24081/nijesr.2016.1.0017

Mardis M. A. Ma J. Jones F. R. Ambavarapu C. R. Kelleher H. M. Spears L. I. McClure C. R. (2018). Assessing alignment between information technology educational opportunities, professional requirements, and industry demands. Education and Information Technologies, 23, 1547–1584. https://doi.org/10.1007/s10639-017-9678-y

McGee K. (2018). The influence of gender, and race/ethnicity on advancement in information technology (IT). Information and Organization, 28(1), 1–36. https://doi.org/10.1016/j.infoandorg.2017.12.001

McGuire L. Hoffman A. J. Mulvey K. L. Hartstone-Rose A. Winterbottom M. Joy A. Law F. Balkwill F. Burns K. P. Butler L. Drews M. Fields G. Smith H. Rutland A. (2022). Gender stereotypes and peer selection in STEM domains among children and adolescents. Sex Roles, 87(9–10), 455–470. https://doi.org/10.1007/s11199-022-01327-9

Merriam S. B. Tisdell E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.

Monaghan D. B. Attewell P. (2015). The community college route to the bachelor’s degree. Educational Evaluation and Policy Analysis, 37(1), 70–91. https://doi.org/10.3102/0162373714521865

National Center for Education Statistics. (2017). Beginning college students who change their majors within 3 years of enrollment. U.S. Department of Education. https://nces.ed.gov/pubs2018/2018434.pdf

National Center for Education Statistics. (2022). 2022 Table and Figures. In Digest of Education Statistics. https://nces.ed.gov/programs/digest/d22/tables/dt22_311.15.asp

National Center for Science and Engineering Statistics (NCSES). (2023, January 30). NSF’s NCSES releases report on diversity trends in STEM workforce and education: Diversity and STEM: Women, minorities, and persons with disabilities. U.S. National Science Foundation. https://nsf-gov-resources.nsf.gov/doc_library/nsf23315report.pdf?VersionId=OfErRcu.MTEp_KCzcuAfyfIkh0cU_XQO

National Center for Science and Engineering Statistics (NCSES). (2024, May 30). The STEM labor force: Scientists, engineers, and skilled technical workers – U.S. STEM workforce: Size, growth, and employment. U.S. National Science Foundation. https://ncses.nsf.gov/pubs/nsb20245/u-s-stem-workforce-size-growth-and-employment#:~:text=According%20to%20Bureau%20of%20Labor,(Figure%20LBR%2DA

National Science Foundation (NSF). (2023). Diversity and STEM: Women, minorities, and persons with disabilities report. https://ncses.nsf.gov/pubs/nsf23315/

Ortagus J. (2020). What we know about the cost and quality of online education. Third Way. https://www.jstor.org/stable/pdf/resrep41744.pdf

Ortagus J. C. (2017). From the periphery to prominence: An examination of the changing profile of online students in American higher education. Internet and Higher Education, 32, 47–57. https://doi.org/10.1016/j.iheduc.2016.09.002

Ortagus J. C. (2018). National evidence of the impact of first-year online enrollment on postsecondary students’ long-term academic outcomes. Research in Higher Education, 59(8), 1035–1058. https://doi.org/10.1007/s11162-018-9495-1

Ortagus J. C. (2023). The relationship between varying levels of online enrollment and degree completion. Educational Researcher, 52(3), 170–173. https://doi.org/10.3102/0013189x221147522

Owston R. York D. N. Malhotra T. Sitthiworachart J. (2020). Blended learning in STEM and non-STEM courses: How do student performance and perceptions compare? Online Learning, 24(3), 203–221. https://doi.org/10.24059/olj.v24i3.2151

Porter S. R. Umbach P. D. (2019). What challenges to success do community college students face? Percontor, LLC.

Ravitch S. M. Carl N. M. (2016). Qualitative research: Bridging the conceptual, theoretical, and methodological. Sage Publications.

Reid M. F. Allen M. W. Armstrong D. J. Riemenschneider C. K. (2010). Perspectives on challenges facing women in IS: The cognitive gender gap. European Journal of Information Systems, 19(5), 526–539. https://doi.org/10.1057/ejis.2010.30

Rodriguez S. L. Blaney J. M. (2021). “We’re the unicorns in STEM”: Understanding how academic and social experiences influence sense of belonging for Latina undergraduate students. Journal of Diversity in Higher Education, 14(3), 441–455. https://doi.org/10.1037/dhe0000176

Saks K. (2024). The effect of self-efficacy and self-set grade goals on academic outcomes. Frontiers in Psychology, 15, 1–11. https://doi.org/10.3389/fpsyg.2024.1324007

Saldaña J. (Ed.). (2015). The coding manual for qualitative researchers (3rd ed.). Sage Publications.

Sax L. J. Blaney J. M. Lehman K. J. Rodriguez S. L. George K. L. Zavala C. (2018). Sense of belonging in computing: The role of introductory courses for women and underrepresented minority students. Social Science, 7(8), 1–23. https://doi.org/10.3390/socsci7080122

Sax L. J. Zimmerman H. B. Blaney J. M. Toven-Lindsey B. Lehman K. J. (2017). Diversifying undergraduate computer science: The role of department chairs in promoting gender and racial diversity. Journal of Women and Minorities in Science and Engineering, 23(2), 101–119. https://doi.org/10.1615/jwomenminorscieneng.2017017221

Schaeffer K. (2022, April 12). 10 facts about today’s college graduates. Pew Research Center. https://www.pewresearch.org/short-reads/2022/04/12/10-facts-about-todays-college-graduates/

Seema A. Raja A. P. Sujatha S. (2011). Organisational support for employees’ career management. International Journal of Research in Commerce, IT & Management, 1(4), 109–113.

Smith K. C. Poleacovschi C. Feinstein S. Luster-Teasley S. (2023). Ethnicity, race, and gender in engineering education: The nuanced experiences of male and female Latinx engineering undergraduates targeted by microaggressions. Psychological Reports, 126(5), 2345–2382. https://doi.org/10.1177/00332941221075766

Spall S. (1998). Peer debriefing in qualitative research: Emerging operational models. Qualitative Inquiry, 4(2), 280–292. https://doi.org/10.1177/107780049800400208

Spratley S. (2020). Exploring the role of the academic advisor in leadership education. Journal of Leadership Education, 19(2), 34–48. https://doi.org/10.12806/v19/i2/r3

Starks H. Brown Trinidad S. (2007). Choose your method: A comparison of phenomenology, discourse analysis, and grounded theory. Qualitative Health Research, 17(10), 1372–1380. https://doi.org/10.1177/1049732307307031

Talsma K. Schüz B. Schwarzer R. Norris K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136–150. https://doi.org/10.1016/j.lindif.2017.11.015

Thomson D. L. (2010). Beyond the classroom walls: Teachers’ and students’ perspectives on how online learning can meet the needs of gifted students. Journal of Advanced Academics, 21(4), 662–712. https://doi.org/10.1177/1932202x1002100405

Totonchi D. A. Perez T. Lee Y. K. Robinson K. A. Linnenbrink-Garcia L. (2021). The role of stereotype threat in ethnically minoritized students’ science motivation: A four-year longitudinal study of achievement and persistence in STEM. Contemporary Educational Psychology, 67, 1–16. https://doi.org/10.1016/j.cedpsych.2021.102015

Tudor T. R. (2018). Fully integrating academic advising with career coaching to increase student retention, graduation rates and future job satisfaction: An industry approach. Industry and Higher Education, 32(2), 73–79. https://doi.org/10.1177/0950422218759928

U.S. Bureau of Labor Statistics. (2022). Occupational outlook handbook: Computer and Information Technology Occupations. https://www.bls.gov/ooh/computer-and-information-technology/home.htm

U.S. Bureau of Labor Statistics. (2023). Employed and Experienced Unemployed Persons by Detailed Occupation, Sex, Race, and Hispanic or Latino. https://www.bls.gov/cps/cpsaat11.pdf

Varty A. K. (2022). Promoting achievement for community college STEM students through equity-minded practices. CBE—Life Sciences Education, 21(2), ar25. https://doi.org/10.1187/cbe.21-09-0237

Wang X. (2015). Pathway to a baccalaureate in STEM fields: Are community colleges a viable route and does early STEM momentum matter? Educational Evaluation and Policy Analysis, 37(3), 376–393. https://doi.org/10.3102/0162373714552561

Wang X. (2016). Course-taking patterns of community college students beginning in STEM: Using data mining techniques to reveal viable STEM transfer pathways. Research in Higher Education, 57(5), 544–569. https://doi.org/10.1007/s11162-015-9397-4

Windham M. H. Rehfuss M. C. Williams C. R. Pugh J. V. Tincher-Ladner L. (2014). Retention of first-year community college students. Community College Journal of Research & Practice, 38(5), 466–477. https://doi.org/10.1080/10668926.2012.743867

Xu D. Jaggars S. S. (2013). The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system. Economics of Education Review, 37, 46–57. https://doi.org/10.1016/j.econedurev.2013.08.001

Yin R. K. (2018). Case study research and applications: Design and methods. Sage Publications.

Zarrett N. R. Malanchuk O. (2005). Who’s computing? Gender and race differences in young adults’ decisions to pursue an information technology career. New Directions for Child and Adolescent Development, 2005(110), 65–84. https://doi.org/10.1002/cd.150

Zilberman A. Ice L. (2021). Why computer occupations are behind strong STEM employment growth in the 2019 - 29 decade. U.S. Bureau of Labor Statistics, 10(1), 1–9. https://www.bls.gov/opub/btn/volume-10/pdf/why-computer-occupations-are-behind-strong-stem-employment-growth.pdf

Zimmerman B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016