91°µÍø

Placeholder Faculty Staff Image

Steve Geinitz

Associate Professor of Computer Sciences

Computer Sciences

Degree

PhD in Applied Statistics

University of Zurich

Other in Applied Statistics

Colorado School of Mines

BS in Mathematics

Metropolitan State University of Denver

MS in Computer Science

University of Colorado at Denver

BS in Computer Science

Metropolitan State University of Denver

Published Works

  • Geinitz, R. S. (2026). Improving Student Learning and Socialization via Technology-enhanced Collaboration. International Journal of Technology Enhanced Learning.
  • Neller, T., Geinitz, R. S., Wang, K. (2026, March). Model AI Assignments 2026. PKP.
  • Geinitz, R. S. (2025). PICA: A Data-driven Synthesis of Peer Instruction and Continuous Assessment. Springer.
  • Geinitz, R. S., Rajan, R., Peprah, K., Schmidt, C. K., Singh, S., Jay, M. S. (). Generative AI as a Tool for Learning: Higher Education Student Perceptions and Performance across Disciplines. Springer.
  • Geinitz, R. S. (2025, March). Dynamic Duo: Enhancing Collaborative Learning Through Strategic Student Pairings. Springer Nature Switzerland.
  • Runge, J., Geinitz, R. S., Ejdemyr, S. (2020). Experimentation and performance in advertising: An observational survey of firm practices on Facebook. Expert Systems with Applications, 158(113554). .
  • Geinitz, R. S., Furrer, R., Sain, R. S. (2015). Bayesian multilevel analysis of variance for relative comparison across sources of global climate model variability. International Journal of Climatology, 35(3), 433-443. .
  • Furrer, R., Geinitz, R. S., Sain, R. S. (2012). Assessing variance components of general circulation model output fields. Environmetrics, 23(5), 440-450. .
  • Ward, J. T., Palmer, P. C., Houck, E. J., Navidi, C. W., Geinitz, R. S., Noonan, W. C. (2009). Community Woodstove Changeout and Impact on Ambient Concentrations of Polycyclic Aromatic Hydrocarbons and Phenolics. Environmental Science and Technology, 43(14), 5345-5350. .

Office Hours

* Tue/Thu 2pm-3pm, 6pm-7pm (in-person or virtual)
* Fri 12pm-1pm (virtual)

Additional Information