In this paper, we examine the relationship between participants’ childhood science, technology, engineering, and mathematics (STEM) related experiences, their STEM identity (i.e., seeing oneself as a STEM person), and their college career intentions. Whereas some evidence supports the importance of childhood (i.e., K‐4) informal STEM education experiences, like participating in science camps, existing research does not adequately address their relationship to STEM career intention later in life. Grounding our work in identity research, we tested the predictive power of STEM identity on career intention (N = 15,847). We found that for every one‐point higher on our STEM identity scale, participants’ odds of choosing a STEM career in college increased by 85%. We then tested whether a variety of childhood informal experiences predicted participants’ STEM identity. While controlling for home environment, gender, and other relevant factors, only talking with friends and family about science, and consuming science and science‐fiction media (i.e., books and television) were predictive of STEM identity in college.

Increasing student retention (successfully finishing a particular course) and persistence (continuing through a sequence of courses or the major area of study) is currently a major challenge for universities. While students' academic and social integration into an institution seems to be vital for student retention, research into the effect of interpersonal interactions is rare. We use network analysis as an approach to investigate academic and social experiences of students in the classroom. In particular, centrality measures identify patterns of interaction that contribute to integration into the university. Using these measures, we analyze how position within a social network in a Modeling Instruction (MI) course-an introductory physics course that strongly emphasizes interactive learning-predicts their persistence in taking a subsequent physics course. Students with higher centrality at the end of the first semester of MI are more likely to enroll in a second semester of MI. Moreover, we found that chances of successfully predicting individual student's persistence based on centrality measures are fairly high-up to 75%, making the centrality a good predictor of persistence. These findings suggest that increasing student social integration may help in improving persistence in science, technology, engineering, and mathematics fields.

The Modeling Instruction (MI) approach to introductory physics manifests significant increases in student conceptual understanding and attitudes toward physics. In light of these findings, we investigated changes in student self-efficacy while considering the construct's contribution to the career-decision making process. Students in the Fall 2014 and 2015 MI courses at Florida International University exhibited a decrease on each of the sources of self-efficacy and overall self-efficacy (N ¼ 147) as measured by the Sources of Self-Efficacy in Science Courses-Physics (SOSESC-P) survey. This held true regardless of student gender or ethnic group. Given the highly interactive nature of the MI course and the drops observed on the SOSESC-P, we chose to further explore students' changes in self-efficacy as a function of three centrality measures (i.e., relational positions in the classroom social network): inDegree, outDegree, and PageRank. We collected social network data by periodically asking students to list the names of peers with whom they had meaningful interactions. While controlling for PRE scores on the SOSESC-P, bootstrapped linear regressions revealed post-self-efficacy scores to be predicted by PageRank centrality. When disaggregated by the sources of self-efficacy, PageRank centrality was shown to be directly related to students' sense of mastery experiences. InDegree was associated with verbal persuasion experiences, and outDegree with both verbal persuasion and vicarious learning experiences. We posit that analysis of social networks in active learning classrooms helps to reveal nuances in self-efficacy development.

An individual's sense of themselves as a "STEM person" is largely formed through recognition feedback. Unfortunately, for many minoritized individuals who engage in STEM (science, technology, engineering, and mathematics) in formal and informal spaces, this recognition often adheres to long-standing exclusionary expectations of what STEM participation entails and institutionalized stereotypes of what it means to be a STEM person. However, caregivers, who necessarily share cultural backgrounds, norms, and values with their children, can play an important role in recognizing their children's interest and inclination towards STEM in ways that support children's authoring of their STEM identity in the face of these marginalizing discourses. To explore this idea, we conducted phenomenological interviews with STEM students attending a Hispanic-serving university, examining the nature of STEM-related conversations these students had with their parents during childhood. Participant recollections provide evidence of conversational content, contexts, and structures that supported their identification with STEM even when faced with marginalizing experiences. We found that though this phenomenon was recounted across parent profiles, participant narratives also reflected differences in conversation content, context, and structure based on factors associated with STEM