Evidence-Based Approaches in Effective Teaching & Research Mentorship
This graduate-student led weekly seminar will explore a range of evidence-based practices & modern educational theory that can be used for more effective and equitable teaching and mentorship. A special focus is placed on science & engineering education. Class meetings consist of small-group discussions and workshops, culminating in a final project where participants apply course topics into an educational situation of their choice, whether as a learner, teaching assistant, instructor, research mentor, project manager, etc. Less than an hour of work outside of class is expected each week. Topics include active-learning strategies, artificial intelligence in education, formative feedback models, equitable assessment design, universal design for learning, instructor-learner trust & wellness, student engagement & empowerment in inclusive teaching, culturally responsive teaching, and building authentic community through values & norms - among others. The course is open to take for credit or audit by undergraduate students, graduate students, medical students, postdoctoral scholars, professors & professionals. Participants of all levels and from across the University are welcome and encouraged.
Topics
- active-learning strategies
- artificial intelligence in education
- formative feedback models
- equitable assessment design
- universal design for learning
- instructor-learner trust & wellness
- student engagement & empowerment in inclusive teaching
- culturally responsive teaching
- and building authentic community through values & norms - among others
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027