Spring 2020 Student Research
Spring Semester is an exciting time! From identifying obstacles faced by certain groups when persuing degrees in CS to how Q-Learning learns, the CSCI 4960 and CSCI 6950 students in Dr. Cotterell’s lab are tackling it all, one question at a time.
Obstacles Faced by International Asian Students when Pursuing Degrees in Computer Science
This study will lead to a better understanding of the obstacles faced by International Asian Students (IASs), thus providing potential insight into how to decrease the overall DFW rate and broaden overall participation in CS.
- Undergrads
- Yimin Yan
- Ziwei Wang
- Grads
- Matthew Chapman
Analyzing Varying Complexity on Q-Learning
This study will lead to a better understanding of how the Q-Learning algorithm learns, how quickly it can develop an optimal policy as problem complexity increases, and its suitability in environments of varying complexities.
- Undergrads
- Bailey Nelson
- Grads
- Matthew Chapman
Interested in Doing Research?
Whether the specific class is CSCI 4950, 4960, 6950, or 7200, Dr. Cotterell is always looking for students who want to help with his long term goal to facilitate effective, low-anxiety computer science education at scale so that as many students as possible can actively engage in discipline-specific activities while learning.
Other project ideas are welcome so long as they have a computing education element.
Learn more