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Headshot photo of Curtis C.  Cain, Ph.D.
Faculty
Faculty

Curtis C. Cain

Assistant Professor

  • Information Systems & Supply Chain Management
  • School of Business

Biography

Dr. Curtis Cain's expertise focuses on the cultural and societal influences impacting the participation of minority groups in the technology and engineering fields. He has experience in quantitative and qualitative research methodology and has published journal articles using both. He employs a teaching pedagogy that heavily emphasizes practicality and project-based learning. He enjoys teaching courses that depict the influence of people, and technology firms, on computing, informatics, and engineering and the impact of computing on individuals, organizations, and society. Dr. Cain believes in the value of diversity, not only in traditional aspects, such as ethnicity, race, and gender, but also in diversity of thought and social inclusion. Dr. Cain also taught Software Engineering to the inaugural cohort of Howard West students at Google's corporate headquarters in Mountain View, CA. His professional experience extends well beyond the classroom and academia, as he has held various positions in industry, where he has been asked to improve inefficiencies throughout organizations. Lastly, Dr. Cain believes in the value of advising. He firmly believes in assisting students to reach their personal and professional goals.

 

Selected Journal Manuscripts

  • Cain, C.C. (2022). Black Men in IT: Overcoming Digital Inequality in Pursuit of Career Goals. The International Journal of Diversity in Education, 22(2), 1-12. https://doi.org/10.18848/2327-0020/CGP/v22i02/1-12
  • Cain, C.C. and Trauth, E.M. (2022). The Pursuit of Tech Degrees for Black Men in the United States: Belonging and Happiness, an Individual Differences Study. Technology in Society, 69, 101835.  https://doi.org/10.1016/j.techsoc.2021.101835
  • Cain, C.C., Morgan Bryant, A.J., Buskey, C.D., Myers Ferguson, Y. (2022). Generation Z, Learning Preferences, and Technology: An Academic Technology Framework Based on Enterprise Architecture. The Journal of the Southern Association for Information Systems, 9, 1-14. https://doi.org/doi:10.17705/3JSIS.00019
  • Cain, C. C. (2022). A Shifting Research Agenda: Historically Black Colleges and Universities Must Prepare Students for Careers in Computing, Informatics, and Engineering. Journal of Information Systems Education, 33(1), 41-50. https://jise.org/Volume33/n1/JISE2022v33n1pp41-50.html
  • Cain, C. C. (2021). Establishing a research agenda for broadening participation of Black men in computing, informatics, and engineering. Technology in Society, 67, 101790. https://doi.org/10.1016/j.techsoc.2021.101790
  • Cain, C. C. (2021). Beyond the IT Artifact—Studying the Underrepresentation of Black Men and Women in IT. Journal of Global Information Technology Management, 24(3), 157–163. https://doi.org/10.1080/1097198X.2021.1954315
  • Cain, C. C., and Trauth, E. (2017). Black Men in IT: Theorizing an Autoethnography of a Black Man’s Journey into IT within the United States of America. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 48(2), 35–51. https://doi.org/10.1145/3084179.3084184
  • Trauth, E. M., Cain, C. C., Joshi, K. D., Kvasny, L., & Booth, K. M. (2016). The Influence of Gender-Ethnic Intersectionality on Gender Stereotypes about IT Skills and Knowledge. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 47(3), 9–39. https://doi.org/10.1145/2980783.2980785

Education & Expertise

Education

Information Sciences and Technology

Doctor of Philosophy (Ph.D.)
The Pennsylvania State University
2016

Computer Science and Software Engineering

Master of Science (M.S.)
Auburn University
2010

Information Systems Engineering

Bachelor of Science (B.S.)
Johnson C. Smith University
2008

Expertise

Race and Ethnicity in Computing

Computer Science Education

Equity, Diversity, Inclusion and Belonging

User Experience

Quantitative and Qualitative Research Methods

Academics

Academics

Management Information Systems (INFO 204)

Quantitative Business Analysis (INFO 311)

Software Engineering (CSCI 375)

Database Management (INFO 330)

Management Statistics & Data Analysis (XIST 501)

Principle of Information System (OIST 500)

Introduction to Java (INFO 341)

Production and Operations Management (INFO 335)

Seminar in Computer Information Systems (INFO 375)

Accomplishments

Accomplishments

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