Background The extent to which students view their intelligence as improvable (i.e., their “mindset”) influences students’ thoughts, behaviors, and ultimately their academic success. Thus, understanding the development of students’ mindsets is of great interest to education scholars working to understand and promote student success. Recent evidence suggests that students’ mindsets continue to develop and change during their first year of college. We built on this work by characterizing how mindsets change and identifying the factors that may be influencing this change among upper-level STEM students. We surveyed 875 students in an organic chemistry course at four points throughout the semester and interviewed a subset of students about their mindsets and academic experiences. Results Latent growth modeling revealed that students tended to shift towards viewing intelligence as a stable trait (i.e., shifted towards a stronger fixed mindset and a weaker growth mindset). This trend was particularly strong for students who persistently struggled in the course. From qualitative analysis of students’ written survey responses and interview transcripts, we determined that students attribute their beliefs about intelligence to five factors: academic experiences, observing peers, deducing logically, taking societal cues, and formal learning. Conclusions Extensive prior research has focused on the influence of mindset on academic performance. Our results corroborate this relationship and further suggest that academic performance influences students’ mindsets. Thus, our results imply that mindset and academic performance constitute a positive feedback loop. Additionally, we identified factors that influence undergraduates’ mindset beliefs, which could be leveraged by researchers and practitioners to design more persuasive and effective mindset interventions to promote student success.

Whether students view intelligence as a fixed or malleable trait (i.e., their “mindset”) has significant implications for their responses to failure and academic outcomes. Despite a long history of research on mindset and its growing popularity, recent meta-analyses suggest that mindset does a poor job of predicting academic outcomes for undergraduate populations. Here, we present evidence that these mixed results could be due to ambiguous language on the mindset scale. Specifically, the term “intelligence” is a referent in every item of the mindset scale but is never defined, which could result in differing interpretations and measurement error. Therefore, we conducted an exploratory, qualitative study to characterize how undergraduate students define intelligence and how their definitions may influence how they respond to the mindset scale. We uncovered two distinct ways that undergraduates define intelligence: knowledge and abilities (e.g., ability to learn, solve problems). Additionally, we found that students’ definitions of intelligence can vary across contexts. Finally, we present evidence that students who define intelligence differently also interpret and respond to the items on the mindset scale differently. We discuss implications of these results for the use and interpretation of the mindset scale with undergraduate students.