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In response to the demand for more STEM-certified teachers, identity has emerged as a theoretical lens for examining how candidates can be recruited into and retained in the teaching profession. This study explores the intersection between teaching identity and disciplinary identity as they relate to the development of a disciplinary teaching identity. Survey responses were collected from students in a teaching recruitment class for STEM majors, and regression models were developed to predict disciplinary teaching identity and program persistence. Findings from both models indicated that teaching identity is a strong predictor of both disciplinary teaching identity and program persistence, but disciplinary identity plays less of a role. These findings align with previous qualitative research on teacher identity development. Additionally, these findings highlight a need to engage STEM faculty in efforts to recruit students who strongly identify with STEM into the teaching profession.

Women and many people of color continue to be minoritized in STEM and notably in physics. We conducted two studies demonstrating that exposure to counternarratives about "who does physics" and "why one does physics" significantly increases high school students--especially women's--physics-related career intentions. These counternarratives facilitate making connections with students' career plans and help in sensemaking causes for the continued minoritization of women in physics. Two separate studies measured the impacts of these interventions on students' physics-related career intentions: first, with an intentionally selected group of teachers (10 teachers, 823 students) across regions and contexts in the U.S.; second, with a randomly sampled group of teachers (13 teachers, 1509 students) from three regions that also included a comparable control group. The results clearly show the importance of exposure to counternarratives in the development of high school students' career interests, particularly for women and minoritized racial or ethnic groups, and that such counternarratives may help to address systemic issues of underrepresentation in STEM.

The power of knowledgeable peers (in this case undergraduate learning assistants [LAs]) to scaffold learning in ways that can positively influence both cognitive and affective outcomes in science, technology, engineering, and mathematics (STEM), is explored in this study. In terms of the cognitive perspective, we use a metacognitive awareness (MA) framework for which the MA indicator predicts course performance. For the affective perspective, we use a disciplinary identity (DI) framework for which the DI indicator predicts discipline-specific persistence. A survey that included these indicators as well as students' experiences in STEM classes was administered to over 2000 students. Multiple regression models reveal student experiences (individually and socially) as predictors of MA and DI. Certain social learning experiences (e.g., explaining to others when the LA is present) were found to be more predictive of MA than individual learning experiences. This result provides evidence to suggest that collaborative environments may align with increased metacognitive processes. Social learning experiences (e.g., explaining to the LA) were also found to be positive and significant predictors of DI but with a smaller effect than for MA. Fully participating in group activities was found to be a significant and positive predictor of both outcomes. This study provides further evidence for the importance of active learning (both individually and socially) for both cognitive and affective outcomes as well as the growing role that LAs can play to enhance these outcomes.

It is well known that women are underrepresented in science. technology engineering and mathematics (STEM) and that their interest declines more steeply over the schooling years. As such, this study uses a STEM identity theoretical framework to examine the effects of early STEM experiences, focusing particularly on experiences that may be more formative for female students. Given that early experiences are a form of capital, the study is also guided by nuanced perspectives on STEM capital and STEM identity capital. The data used were drawn from surveys administered to 15,725 college students. Blocked regression models were utilized and the results indicated a significant effect on STEM identity for students who reported encouragement in STEM from elementary school teachers, using STEM toys/kits, watching STEM-related TV programs or movies, playing STEM computer/video games, and observing or studying stars and other astronomical objects. Negative experiences included baking/cooking/kitchen chemistry and writing about STEM. To examine which of these experiences had long-lasting impact in the face of intervening experiences in middle/high school, controls were provided for middle/high school STEM interest. This indicated early experiences that translated to STEM identity capital in the future. Only observing stars became nonsignificant, while the other early experiences likely contributed to STEM identity capital. The findings highlight early experiences that can be formative for STEM identity years later (i.e., STEM identity capital) despite intervening years of changing STEM interest. As such, the results provide both practical and theoretical insight into understanding the development and maintenance of STEM identity.

We expand on prior qualitative research about mathematics identity development using data from a large national US survey of 10,437 students in 336 college calculus classes. Multinomial logistic regression models find that a stronger mathematics identity predicts higher student interest in pursuing certain STEM careers when compared with non-STEM careers, particularly those in physical and computer sciences, engineering, and mathematics, or in science or mathematics teaching. Multiple linear regression models identify that certain instructional practices employed by high school mathematics teachers predict higher levels of students' mathematics identity. These include a high amount of interaction within the classroom, a focus on mathematics connections, and activities involving conceptual learning. Surprisingly, the role of the textbook, ways of organizing students (individual, small group, whole class), forms of assessment, and use of calculators or computers did not significantly predict students' mathematics identity.

Understanding the rate at which STEM faculty move from traditional, lecture-intensive teaching practices to more effective, student-centered practices and the institutional conditions that favor this shift are crucial for supporting faculty change. This study investigated the instructional practices of biology, chemistry, and physics faculty at research-intensive institutions and explored the institutional structures that support student-centered instruction. Faculty members (N = 1,456) from 66 institutions reported on their frequency of use of a variety of instructional practices (at two time points within the last five years) and the support structures present at their institution using the Change in Implementation of Pedagogical Practices (ChIPP) survey. An index was created for measuring use of student-centered instructional strategies at these two time points, providing a measure of change over time. About 30% of all respondents reported increases in the frequency of student-centered teaching strategies over time. For all faculty, participation in institutional faculty communities was predictive of change toward student-centered pedagogies. Faculty teaching lower-division courses were more likely to use at a higher number of student-centered strategies every class, compared to their upper-division colleagues. Factors associated with greater use of student-centered strategies in lower-division courses were institutional financial opportunities for course reform, use of classrooms designed to promote active learning, and engagement in STEM education research. Only one factor, engagement in professional development, was associated with greater use of student-centered strategies in upper-division courses. These findings suggest that pedagogical change is occurring at research-intensive institutions and may be fostered through specific support structures.

Despite decades of research indicating that active learning techniques (ALTs) are more effective than traditional lecture, ALTs are not widely implemented in STEM undergraduate classrooms. While ALT implementation is happening in a number of disciplines, including the geosciences, most STEM teaching remains lecture-based. Understanding the contexts that correlate with ALT adoption may allow expanded implementation. ALT use was documented among STEM pre-tenure and tenured faculty respondents across 66 research-intensive, U.S. universities, using the Change in Implementation of Pedagogical Practices survey. Personal, professional, and institutional/departmental factors were analyzed for association with ALT use. Most respondents reported using some ALTs in their teaching, with no significant distinctions between pre-tenure and tenured faculty. Teaching was perceived to carry less weight in practice (e.g., in tenure and promotion decisions) than the theoretical value stated by institutions (e.g., in faculty assignments and hiring). ALT use among tenured faculty was predicted by number of recent publications, their knowledge of education initiatives, and receiving informal feedback on their teaching. ALT use among pre-tenure faculty was predicted by the number of STEM education talks given. Perception of obstacles was a negative predictor of ALT use among tenured faculty only, though both pre-tenure and tenured faculty identified barriers to ALT use. Considering these identified barriers and how to remove them could potentially increase ALT use. The findings that ALT use by tenured faculty was predicted by number of recent publications and that grant funding was neither a positive nor negative predictor of ALT use suggest that ALT use does not hinder faculty research productivity.

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.

We expand on prior qualitative research about mathematics identity development using data from a large national US survey of 10,437 students in 336 college calculus classes. Multinomial logistic regression models find that a stronger mathematics identity predicts higher student interest in pursuing certain STEM careers when compared with non-STEM careers, particularly those in physical and computer sciences, engineering, and mathematics, or in science or mathematics teaching. Multiple linear regression models identify that certain instructional practices employed by high school mathematics teachers predict higher levels of students' mathematics identity. These include a high amount of interaction within the classroom, a focus on mathematics connections, and activities involving conceptual learning. Surprisingly, the role of the textbook, ways of organizing students (individual, small group, whole class), forms of assessment, and use of calculators or computers did not significantly predict students' mathematics identity. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The article reports on peers' interest in high school biology, chemistry, and physics classes on students' STEM-related career intentions and course achievement in the U.S. Students perceive a high level of interest for the subject matter from their classmates in an interest quorum. Students are more likely to choose STEM careers who experience such an interest quorum.

Previous research suggests strong connections between students' mathematics background and their persistence in engineering career aspirations. This study expands on that research by examining how mathematics identity impacts the choice of engineering careers for male and female students. Data used in this study were drawn from the Factors Influencing College Success in Mathematics project, a nationally-representative survey garnering responses from 10,437 college calculus students. Results from an exploratory factor analysis validated the mathematics identity framework proposed. Additionally, results from a logistic regression indicate that mathematics interest and recognition in mathematics significantly predict the choice of an engineering career, even after controlling for SAT/ACT mathematics scores and demographic background, such as parental education. Moreover, the interaction between recognition in mathematics and gender is also significant and indicates that being recognized in mathematics has a stronger positive impact on the choice of an engineering career for females than for males. [ABSTRACT FROM AUTHOR]