Underrepresented minorities in engineering regularly experience subtle behaviors or statements that denigrate them on account of their race, ethnicity, gender, or other identity. Engineering students cite these behaviors, known as microaggressions, as reasons for having considered changing majors or leaving college altogether. Despite the recent research trend to foster a more racially, ethnically, and gender-inclusive engineering education and profession, previous research does not examine microaggressions in engineering using an intersectional lens. Without an intersectional perspective, intragroup diversity is overlooked, increasing the potential to reinforce broad racial and gender stereotypes. To measure the effects of microaggressions among engineering undergraduate students, the current study used an intersectional approach and collected data from a predominantly white institution (PWI) and from a historically black colleges and universities (HBCUs). The authors conducted individual semistructured interviews to examine the effects of microaggressions among 42 engineering undergraduate students, who can be categorized into seven intersectional identities—White women, African American men, African American women, Asian men, Asian women, Latino men, and Latina women. Results showed five macroeffects and two microeffects—(1) reduced self-belief (reduced self-efficacy and reduced self-esteem), (2) otherness, (3) racial/gender isolation, (4) stereotype threat, and (5) and empowered sense of self. Also, in this work, we make comparisons across intersectional identities. The data provide support for further study of microaggressions and their effects on intersectional identities. This research extends the intersectional approach to focus on engineering departments and colleges and provides information to engineering departments and university administrators concerning the experiences of minority undergraduates and offers academic leaders further information regarding issues surrounding minority student retention and persistence.

Compared to other groups, relatively less research has specifically addressed the retention of Latinx students in STEM disciplines. These students face many negative stereotypes about their group, especially related to their academic success, yet there is limited research regarding how microaggressions, subtle or ambiguous discriminatory behaviors, targeting Latinx students in engineering education settings impact their experience in those programs. Guided by Sue’s definitions and taxonomy of microaggressions, Critical Race Theory and Latino Critical Theory, the purpose of the current study was to answer the following research questions: 1) What microaggressions do Latinx engineering undergraduates experience in an engineering education environment? and 2) How do these microaggressions impact Latinx engineering undergraduates’ academic well-being, as defined by their academic self-efficacy and academic performance?

This study investigates the effectiveness of integrating explicit learning-strategy instruction into gatekeeper mathematics courses to foster a math growth mindset, self-regulated learning (SRL), and improved academic performance among underrepresented minority students. The intervention was implemented across four key courses—College Algebra I/II and Calculus I/II—and incorporated evidence-based cognitive, metacognitive, and behavioral learning strategies through course materials, class discussions, and reflective assignments. Grounded in a conceptual framework linking learning-strategy instruction, growth mindset, SRL, and performance—while accounting for students’ social identities—the study explores both direct and indirect effects of the intervention. Using an explanatory sequential mixed-methods design, we first collected quantitative data via pre- and post-surveys/tests and analyzed performance outcomes, followed by qualitative focus groups to contextualize the findings. Results showed no significant effects of the intervention on growth mindset or SRL, nor evidence of mediation through these constructs. The direct effect of the intervention on performance was negative, though baseline mindset, SRL, and pre-course preparedness strongly predicted outcomes. No moderation effects were detected by student identities. The findings suggest that while explicit learning-strategy instruction may not independently shift mindset or SRL in the short term, pre-existing differences in these areas are consequential for performance. Qualitative findings provided further context for understanding how students engaged with the strategies and how instructor implementation shaped outcomes. These insights inform how learning strategies might be more effectively embedded in introductory math to support success and equity in STEM pathways, particularly in post-COVID educational contexts.