Teaching

Most students call me Dr. Z. If you have any questions about majoring in IST or career prospects in Information Systems field, feel free to contact me. 

Courses taught at Duquesne

Undergraduate program

• Business Information Systems (undergraduate business core)

• Business Intelligence (senior-level IST course, counted towards SAP award)

Graduate program

• Behavioral Analytics (in Python and R)

• AI Systems for Business (forthcoming)

Student Research Presentations and Publications

Mentoring students in independent research is one of my greatest passions, serving as the foundation for the projects highlighted below. I firmly believe that mastering the research process equips students with the exact skillset needed to harness, navigate, and ultimately outsmart the challenges of an AI-driven landscape. 

^Student

1.      DeNardo, G. ^ Faculty Advisor: Zhou, W. (Mar. 2026). Emoji or Email? Decoding Generational Friction in the Digital Workplace. Poster presentation at Duquesne Graduate Research & Scholarship Symposium.

2.      Zhou, W. & Betancourth, C.^ Revisiting Course Coordination in Instructional Contexts: A Flexible, Instructor-Centered Approach. Information Systems Education Journal 24(5) pp 4-13. https://doi.org/10.62273/LKDD2674 (Acceptance rate<35%)

3.      Zhou, W., Ozturk, P., Hartzel, K, & Betancourth, C.^ Modernizing Data Warehousing Education: Utilizing Generative AI to Close the Skills Gap. Information Systems Education Journal 24(6) pp 7-20. https://doi.org/10.62273/LAZQ5486. Highlighted in Special Issue on Artificial Intelligence and Pedagogical Innovation Information Systems Education Journal.

4.      Abiola, M.^ & Zhou, W. (2025) Enhancing Mentorship Programs: An Immersive and Experiential Learning Approach.

o   Presented at 18th Annual Mentoring Conference.

o   Published in The Chronicle of Mentoring and Coaching (peer-reviewed).

5.      Zhou, W., Ozturk, P., Hartzel, K, & Betancourth, C.^ (July 2025). GenAI and Programming Tools in Teaching Data Analytical Skills: A Shared Experience. Presented and published in the proceedings of the peer-reviewed Information Systems & Computing Academic Professionals Conference 2025 (ISCAP). Data Analytics Distinguished Paper Award.

6.      Zhou, W. & Betancourth, C.^ (July 2025). Rethinking Coordination: Toward a Flexible, Instructor-Centered Model. Presented and published in the proceedings of the peer-reviewed Information Systems & Computing Academic Professionals Conference 2025 (ISCAP).

7.      Hector, S.,^ Provenzo, N.^, DeNardo, G.^, & Zhou, W. Generative AI Meets Data Warehousing: Closing the Education Gap. Presented and published in the proceedings of the peer-reviewed Information Systems & Computing Academic Professionals Conference 2025 (ISCAP).

8.      Hector, S.^, Provenzo^, & Zhou, W. (Apr. 2025). Integrating Generative AI in Data Warehousing: Bridging the Educational Gap for Future Graduates. Poster presentation at peer-reviewed National Conference on Undergraduate Research (NCUR).

9.      Hector, S.^ & Provenzo^. Faculty Advisor: Zhou, W. (Apr. 2025). Integrating Generative AI in Data Warehousing: Bridging the Educational Gap for Future Graduates. Poster presentation at Duquesne Undergraduate Research & Scholarship Symposium.

10.      Abiola, M.^ Faculty Advisor: Zhou, W. (Mar. 2025). Transforming Mentorship Programs Through Experimental Learning. Poster presentation at Duquesne Graduate Research & Scholarship Symposium.

11.      Sinha, Shristee. ^ Faculty Advisor: Zhou, W. (Mar. 2021). Decipher Yelp Elite Squad Badge. Poster presentation at Duquesne Graduate Research & Scholarship Symposium.

12.  Chen, H., Lachaud, K. ^, and Zhou, W. (2016). Free Pricing or Carry-Over Spotlighting? An Empirical Investigation on Amazon App Market. Proceedings of Northeastern Association of Business, Economics and Technology Annual Meeting (NABET).