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College and department administrators take undergraduate student complaints about Graduate Student Instructors (GSIs) seriously. However, little research has been done to examine the nature of undergraduate student complaints across multiple mathematics departments from the lens of student-centered instruction. In this study, we compared formal (i.e. documented in writing by the student) undergraduate mathematics student complaints about GSIs at two universities over five years. Complaints were analyzed by coding the contextualized concerns described in the complaints using the Mathematical Association of America’s Instructional Practices Guide to align complaints with topics discussed as best-teaching practices. Results demonstrated that concerns about classroom and assessment practices were the most prevalent. Concerns about classroom practices were slightly more abundant and more pervasive throughout the semester than concerns about assessment practices. Additionally, an outside-of-class issue undergraduate students raised was regarding the effectiveness of GSIs communication via emails. 

In this study, two universities created and implemented a student-centered graduate student instructor observation protocol (GSIOP) and a post-observational Red-Yellow-Green feedback structure (RYG feedback). The GSIOP and RYG feedback was used with novice graduate student instructors (GSIs) by experienced GSIs through a peer-mentorship program. Ten trained mentor GSIs completed 50 sets of three observations of novice GSIs. Analyzing 151 GSIOPs and 151 RYG feedback meetings longitudinally provided insight to identify what types of feedback informed and influenced GSIOP scores. After qualitatively coding feedback along multiple dimensions, we found certain forms of feedback were more influential for GSI development than others with respect to change in GSIOP score. Our results indicate contextually-specific feedback leads to more observed changes and improvement across multiple observations than decontextualized feedback. 

In this study, two universities created and implemented a student-centered graduate student instructor observation protocol (GSIOP) and a post-observational Red-Yellow-Green feedback structure (RYG feedback). The GSIOP and RYG feedback was used with novice mathematics graduate student instructors (GSIs) by experienced GSIs through a peer-mentorship program. Ten trained mentor GSIs observed novice GSIs, completed a GSIOP, and provided RYG feedback as part of an observation-feedback cycle. This generated 50 semester-long data sets of three observation-feedback cycles of novice GSIs. Analyzing these 50 semester-long data sets helped identify how certain feedback influenced GSIOP scores.