Our research focuses on how ungrading can shift students’ approach to learning and broaden participation in upper-level STEM courses. Scholarly interests include using machine learning, alternative grading, and web applications to enhance biomedical education.
Project 1: Exploring how ungrading influences the way in which students approach learning in an upper-level biomedical science course, focusing on student motivation, reflective thinking, and preparatory behaviours.
Project 2: Exploring the effectiveness of using AI (personalised GPTs) to support faculty efforts in an ungraded course.
Project 4: Testing the practicality and effectiveness of formaldehyde-free cadaver fixation methods in a veterinary medicine curriculum.
2024 TILT Faculty Research Fellowship, The Institute for Teaching & Learning (TILT), Colorado State University
2024 Instructional Innovation/Pedagogical Research Grant, CVMBS College Research Council, Colorado State University