TEACHING A RACE AND DIVERSITY COURSE TO SCIENTISTS THROUGH SYSTEMS THINKING AND FEEDBACK LOOPS
In 2020 and 2021, the course was taught without explicitly teaching students about feedback loops. From 2022 to 2024, a feedback loop intervention included use of mutual alignment to teach the structure and effects of positive and negative feedback loops, using comparisons between natural and social systems, and teaching of causal loop diagrams of racial equity feedback loops. Before and after using the intervention, the course required students to complete an essay that asks them to use leverage points to intervene in the inequitable Nobel Prize award system. Preliminary qualitative language analysis of the essays shows that while students before and after the feedback loop intervention use causal language, the use of language related to connectedness and change increased after teaching about feedback loops. Very few connectedness phrases were used in the control group, suggesting that feedback loop thinking may help students view these processes more as a system and less as simple cause and effect. Knowledge of feedback loops aids in identifying root causes of issues and developing effective solutions, rather than just addressing symptoms.
Teaching about racism and gender bias in the context of science adds relevance to students and provides them with tools to recognize complex systems across disciplines. Additionally, this teaching model uses an approach familiar to and comfortable for science students while also encouraging antiracist interventions.