Race and the Ivory Tower: An Antiracism Exercise for an Undergraduate Neuroscience Classroom

Autor: Jonathan R, Roth, Cristin F, Gavin
Rok vydání: 2021
Předmět:
Zdroj: J Undergrad Neurosci Educ
ISSN: 1544-2896
Popis: This article details an antiracism exercise completed in an introductory undergraduate neuroscience class. Students completed an online pre-class multimedia module entitled “Race and the Ivory Tower” covering racism in science and medicine, the neuroscience behind bias, and the impact of race and racism on health outcomes. The module included two videos, one podcast, and a peer-reviewed journal article, alongside several optional additional resources written for both academic and lay audiences. After completing the module, students participated in an open-ended online discussion followed by an anonymous survey to elicit feedback on the exercise. As a continuation of the antiracism exercise, students researched and reported on the work of a Black or nonwhite Hispanic/Latino scientist for a final project later in the semester. Sixty-eight of 69 students participated in the discussion, and the majority discussed the neuroscience of bias and public health effects of racism. Most students also discussed the importance of the module contents or further questions that they would explore. Sixty of 69 students answered the anonymous survey, where most students reported a better understanding of racism after interacting with the content. Additionally, most students felt better prepared to discuss racism in science and medicine and more able to identify unconscious bias. Finally, students reported that they enjoyed the module contents and online discussion. Overall, this exercise effectively introduced students to the ongoing challenge of racism in science and medicine through both scientific and sociological lenses. Students recognized the collective importance of the content, which was our goal as they represent the future leaders in neuroscience and medicine and should be equipped to address leading issues within their field.
Databáze: OpenAIRE