Traversing STEM: Creating Pathways for Social Justice in the United States

The system that once motivated Americans to pursue science, technology, engineering and mathematics (STEM) careers now presents obstacles to racial and ethnic minorities, women, and the poor. This paper highlights both the advantages and hindrances inherent in STEM professions while advocating for improved access to these pathways

The Interactions of Relationships, Interest, and Self-Efficacy in Undergraduate Physics

This collected papers dissertation explores students’ academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology, engineering, and mathematics (STEM) careers. Self-efficacy and interest are factors that play prominent roles in popular, evidence-based, career theories, including the Social cognitive career theory (SCCT) and the identity framework. Understanding how these constructs develop in light of the most pervasive characteristic of the active learning introductory physics classroom (i.e., peer-to-peer interactions) has implications on how students learn in a variety of introductory STEM classrooms and settings structured after constructivist and sociocultural learning theories. I collected data related to students’ in-class interactions using the tools of social network analysis (SNA). Social network analysis has recently been shown to be an effective and useful way to examine the structure of student relationships that develop in and out of STEM classrooms. This set of studies furthers the implementation of SNA as a tool to examine self-efficacy and interest formation in the active learning physics classroom. Here I represent a variety of statistical applications of SNA, including bootstrapped linear regression (Chapter 2), structural equation modeling (Chapter 3), and hierarchical linear modeling for longitudinal analyses (Chapter 4). Self-efficacy data were collected using the Sources of Self-Efficacy for Science Courses – Physics survey (SOSESC-P), and interest data were collected using the physics identity survey. Data for these studies came from the Modeling Instruction sections of Introductory Physics with Calculus offered at Florida International University in the fall of 2014 and 2015. Analyses support the idea that students’ perceptions of one another impact the development of their social network centrality, which in turn affects their self-efficacy building experiences and their overall self-efficacy. It was shown that unlike career theories that emphasize causal relationships between the development of self-efficacy and the subsequent growth of student interest, in this context student interest takes precedence before the development of student self-efficacy. This outcome also has various implications for career theories

Child Science Identity Interview Guide and Protocol

While many data collection tools exist to elicit how individuals think about prototypical STEM persons (e.g., the Draw-a-Scientist assessment), such tools fail to capture the nuance of how individuals think about STEM and STEM personhood and how those perceptions change according to context and “in real life”. We designed the Child Science Identity Interview Guide and Protocol to learn about how youth see everyday experiences as “STEM” (or a particular subfield) and think of themselves and those in their social orbits as STEM persons

A Pluriversal Model for Equity in Family and Youth STEM Identity Research Praxis

In this paper presentation, we present how we (re)consider and take into account the consequentiality of both our own (as researchers) and our participants’ onto-epistemological beliefs in relation to STEM and STEM contexts, particularly attending to the relationship between these beliefs and identity development through an ethico-political praxis centered on notions of equity as a pluriverse

Using familial STEM identity to understand identity development through social units

Using case study data, we illustrate the need for a more comprehensive model of STEM identity development that accounts for the STEM affiliation of youths, their caregivers, and siblings–not as a collection of individuals but as a coherent and functional unit. We introduce the concept of familial STEM identity as a framework on which to expand STEM identity development theory, particularly as it relates to learners whose social identities are tightly embedded in family relationships, values, and culture. We emphasize the value of familial STEM identity in the context of diversification of STEM fields and formal and informal STEM programming with related goals. We argue that such reframing is especially necessary when STEM institutional contexts drastically differ from those with which youths are comfortable outside of the institution. This work further implies that observation tools and program assessments should be designed to gauge the context’s compatibility with learners, reconstituting analytical lenses on the construction of learning contexts’ fit for youths and families with diverse experiences and insurgent dispositions, rather than on learners’ fit for learning contexts

Linking engagement and performance: The social network analysis perspective

Theories developed by Tinto and Nora identify academic performance, learning gains, and involvement in learning communities as significant facets of student engagement that, in turn, support student persistence. Collaborative learning environments, such as those employed in the Modeling Instruction introductory physics course, provide structure for student engagement by encouraging peer-to-peer interactions. Because of the inherently social nature of collaborative learning, we examine student interactions in the classroom using network analysis. We use centrality---a family of measures that quantify how connected or "central" a particular student is within the classroom network---to study student engagement longitudinally. Bootstrapped linear regression modeling shows that students' centrality predicts future academic performance over and above prior GPA for three out of four centrality measures tested. In particular, we find that closeness centrality explains 28 % more of the variance than prior GPA alone. These results confirm that student engagement in the classroom is critical to supporting academic performance. Furthermore, we find that this relationship for social interactions does not emerge until the second half of the semester, suggesting that classroom community develops over time in a meaningful way

Practitioner’s guide to social network analysis: Examining physics anxiety in an active-learning setting

The application of social network analysis (SNA) has recently grown prevalent in science, technology, engineering, and mathematics education research. Research on classroom networks has led to greater understandings of student persistence in physics majors, changes in their career-related beliefs (e.g., physics interest), and their academic success. In this paper, we aim to provide a practitioner’s guide to carrying out research using SNA, including how to develop data collection instruments, setup protocols for gathering data, as well as identify network methodologies relevant to a wide range of research questions beyond what one might find in a typical primer. We illustrate these techniques using student anxiety data from active-learning physics classrooms. We explore the relationship between students’ physics anxiety and the social networks they participate in throughout the course of a semester. We find that students’ with greater numbers of outgoing interactions are more likely to experience decrease in anxiety even while we control for pre-anxiety, gender, and final course grade. We also explore the evolution of student networks and find that the second half of the semester is a critical period for participating in interactions associated with decreased physics anxiety. Our study further supports the benefits of dynamic group formation strategies that give students an opportunity to interact with as many peers as possible throughout a semester. To complement our guide to SNA in education research, we also provide a set of tools for other researchers to use this approach in their work—the SNA toolbox—that can be accessed on GitHub

Undergraduate STEM majors on and off the pre-med/health track: A STEM identity perspective

Despite the wealth of research exploring science, technology, engineering, and mathematics (STEM) identity and career goals in both formal and informal settings, existing literature does not consider STEM identity for undergraduate students pursuing health and medical careers through STEM pathways. We address this gap by examining the STEM identity of undergraduate STEM majors on pre-med/health tracks as it compares with that of other STEM majors, thus focusing on a population that is chronically understudied in STEM education research. We surveyed 440 undergraduate STEM students enrolled in entry- level STEM courses to assess their STEM identities and three identity precursors: interest, performance-competence, and recognition. Through regression analyses accounting for gender, major, and perceived home support around STEM, we found that pre-med/health students were more likely to have higher STEM identity and recognition scores than their peers; we did not detect a significant difference for performance-competence or interest in STEM. Although there is little tracking of pre-med/health students’ ultimate career attainment, the implications of our findings support a potential for sustaining pre-med/health students while simultaneously creating pathways to other STEM pursuits for the nearly 60% of those who do not enter medical school by offering participation in experiences that affirm their STEM identities

Marginalized Youths Constructing Identities: A Literature Review of STEM Discourses

Colonialism gave rise to cultures of power, positioning non-white traditions and cultures as “inferior,” including knowledge and education practices (Rosa & Mensah, 2021). As such, many children identifying with marginalized ethnic, racial, and/or gender groups, encounter sometimes contradictory and often deconstructive messaging from their educational and social orbits about their personal alignment with STEM (Cian et al., 2022). Consequently, minoritized learners are often faced with a requirement that, in order to persevere, they must adopt characteristics that the cultures of power in STEM embrace, such as girls pursuing physics disassociating themselves from femininity and highlighting masculinity in the way they present themselves (Francis et al., 2016). Furthermore, youths of color find themselves using survival strategies, such as “acting white” (McGee, 2016), in order to join STEM communities, which may result in dissonance with one’s cultural identities. In this literature review, I will unpack empirical research that illustrates how the STEM identity of youths is influenced by interactions with significant persons in the home and the school. The aim of this literature review is to inform future research in STEM identity development of youth who identify with communities marginalized in STEM spaces