Enacting inclusive science: Culturally responsive higher education practices in science, technology, engineering, mathematics, and medicine (STEMM)

PLoS One. 2024 Jan 17;19(1):e0293953. doi: 10.1371/journal.pone.0293953. eCollection 2024.

Abstract

Novel approaches in higher education are needed to reverse underrepresentation of racial/ethnic groups in science, technology, engineering, mathematics, and medicine (STEMM). Building on theoretical frameworks for practice in diverse learning environments, this study provides evidence for Inclusive Science as a conceptual model that reflects initiatives intended to diversify biomedical research training for undergraduates. Using multiple case study design and cross-case analysis, we analyzed data from 10 higher education sites that were awarded the Building Infrastructure Leading to Diversity (BUILD) grant funded by the National Institutes of Health (NIH). We identified the following dimensions of the Inclusive Science model: promoting participation of diverse researchers; introducing diversity innovations in science and research curriculum; improving campus climate for diversity; providing tangible institutional support; creating partnerships with diverse communities; and integrating students' social identities with science identity. We illustrate each dimension of the model with examples of campus practices across BUILD sites. While many may doubt that science can be responsive to diversity, the interventions developed by these campuses illustrate how colleges and universities can actively engage in culturally responsive practices in STEMM undergraduate training that integrate trainees' identities, knowledge of diverse communities, and create a greater awareness of the climate for diversity that affects student training and outcomes. Implications include culturally responsive strategies that many more higher education institutions can employ to support scientific career training for historically excluded groups.

MeSH terms

  • Curriculum
  • Engineering* / education
  • Humans
  • Learning
  • Mathematics
  • Technology* / education