Showing papers in "CBE- Life Sciences Education in 2019"

One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research

Abstract: Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this st ...

Student Satisfaction and Learning Outcomes in Asynchronous Online Lecture Videos

Abstract: Our study identified online lecture video styles that improved student engagement and satisfaction, while maintaining high learning outcomes in online education. We presented different lecture video styles with standardized material to students and then measured learning outcomes and satisfaction with a survey and summative assessment. We created an iterative qualitative coding scheme, "coding online asynchronous lectures" (COAL), to analyze open-ended student survey responses. Our results reveal that multimedia learning can be satisfying and effective. Students have strong preferences for certain video styles despite their equal learning outcomes, with the Learning Glass style receiving the highest satisfaction ratings. Video styles that were described as impersonal and unfamiliar were rated poorly, while those that were described as personal and engaging and evoked positive affective responses were rated highly. The students in our study rated lecture video styles that aligned with Mayer's multimedia learning principles as highly satisfying, indicating that student feedback can be a valuable resource for course designers to consider as they design their own online courses. Finally, we provide guidelines for creating engaging, effective, and satisfying asynchronous lecture videos to support establishment of best practices in online instruction.

FAIL Is Not a Four-Letter Word: A Theoretical Framework for Exploring Undergraduate Students' Approaches to Academic Challenge and Responses to Failure in STEM Learning Environments.

Abstract: Navigating scientific challenges, persevering through difficulties, and coping with failure are considered hallmarks of a successful scientist. However, relatively few studies investigate how undergraduate science, technology, engineering, and mathematics (STEM) students develop these skills and dispositions or how instructors can facilitate this development in undergraduate STEM learning contexts. This is a critical gap, because the unique cultures and practices found in STEM classrooms are likely to influence how students approach challenges and deal with failures, both during their STEM education and in the years that follow. To guide research aimed at understanding how STEM students develop a challenge-engaging disposition and the ability to adaptively cope with failure, we generate a model representing hypotheses of how students might approach challenges and respond to failures in undergraduate STEM learning contexts. We draw from theory and studies investigating mindset, goal orientations, attributions, fear of failure, and coping to inform our model. We offer this model as a tool for the community to test, revise, elaborate, or refute. Finally, we urge researchers and educators to consider the development, implementation, and rigorous testing of interventions aimed at helping students develop a persevering and challenge-engaging disposition within STEM contexts.

A Framework to Guide Undergraduate Education in Interdisciplinary Science.

Abstract: An expanded investment in interdisciplinary research has prompted greater demands to integrate knowledge across disciplinary boundaries. Vision and Change similarly made interdisciplinary expectations a key competency for undergraduate biology majors; however, we are not yet synchronized on the meaning of interdisciplinarity, making this benchmark difficult to meet and assess. Here, we discuss aspects of interdisciplinarity through a historical lens and address various institutional barriers to interdisciplinary work. In an effort to forge a unified path forward, we provide a working definition of interdisciplinary science derived from both the perspectives of science faculty members and scientific organizations. We leveraged the existing literature and our proposed definition to build a conceptual model for an Interdisciplinary Science Framework to be used as a guide for developing and assessing interdisciplinary efforts in undergraduate science education. We believe this will provide a foundation from which the community can develop learning outcomes, activities, and measurements to help students meet the Vision and Change core competency of "tapping into the interdisciplinary nature of science."

Student Anxiety and Perception of Difficulty Impact Performance and Persistence in Introductory Biology Courses.

Abstract: Students respond to classroom activities and achievement outcomes with a variety of emotions that can impact student success. One emotion students experience is anxiety, which can negatively impact student performance and persistence. This study investigated what types of classroom anxiety were related to student performance in the course and persistence in the major. Students in introductory biology classes self-reported their general class, test, communication, and social anxiety; perceived course difficulty; intention to stay in the major; and demographic variables. Final course grades were acquired from instructors. An increase in perception of course difficulty from the beginning to the end of the semester was significantly associated with lower final course grades (N = 337), particularly for females, non-Caucasians, and students who took fewer Advanced Placement (AP) courses. An increase in communication anxiety slightly increased performance. Higher general class anxiety at the beginning of the semester was associated with intention to leave the major (N = 122) at the end of the semester, particularly for females. Females, freshmen, and those with fewer AP courses reported higher general class anxiety and perceived course difficulty. Future research should identify which factors differentially impact student anxiety levels and perceived difficulty and explore coping strategies for students.

Burnout and Mental Health Problems in Biomedical Doctoral Students

Abstract: Although burnout and mental health problems may adversely impact quality of scientific research, academic productivity, and attrition in biomedical doctoral training programs, very little research has been done on this topic. Recent studies have used brief survey methods to begin to explore burnout and mental health problems in biomedical doctoral students. In this pilot study, biomedical doctoral students (N = 69; 12% of enrolled biomedical doctoral students at a large research institution's school of medicine in the United States) were administered standardized psychiatric interviews and self-report questionnaires focused on dimensions of burnout, mental health symptoms, and academic outcomes. We discovered high levels of burnout, depression, and anxiety. Additionally, we identified that burnout was significantly associated with thoughts related to dropping out, subjective appraisal of employment opportunities, functional impairment due to a mental health problem, and having at least one current psychiatric disorder. These findings extend prior research indicating the presence of significant emotional health challenges doctoral students in biomedical graduate programs face involving high burnout and difficulties with the training environment. We outline several recommendations and next steps to programmatically understand and address these emerging emotional wellness concerns in biomedical doctoral students.

Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy.

Abstract: Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise when students are given opportunities to work with authentic data from scientific research. First, we explore the overlap between the fields of quantitative reasoning, data science, and data literacy, specifically focusing on how data literacy results from practicing quantitative reasoning and data science in the context of authentic data. Next, we identify and describe features that influence the complexity of authentic data sets (selection, curation, scope, size, and messiness) and implications for data-literacy instruction. Finally, we discuss areas for future research with the aim of identifying the impact that authentic data may have on student learning. These include defining desired learning outcomes surrounding data use in the classroom and identification of teaching best practices when using data in the classroom to develop students' data-literacy abilities.

Defining and Measuring Students’ Interest in Biology: An Analysis of the Biology Education Literature

Abstract: Students’ interest in their fields of study is an important motivating factor that affects their academic achievement and persistence in STEM. Here, the literature addressing students’ biology inte...

"Where's My Mentor?!" Characterizing Negative Mentoring Experiences in Undergraduate Life Science Research.

Abstract: This study characterizes negative mentoring experiences of undergraduate life science researchers. The results can be used by mentors to reflect on and improve their mentoring behaviors. The result...

Models and Impacts of Science Research Experiences: A Review of the Literature of CUREs, UREs, and TREs.

Abstract: This is a comprehensive review of 307 papers published between 2007 and 2017 that include course-based undergraduate research experiences (CUREs), undergraduate research experiences (UREs), and tea...

The Impact of Broadly Relevant Novel Discoveries on Student Project Ownership in a Traditional Lab Course Turned CURE.

Abstract: This study examined the impact of making broadly relevant novel discoveries on project ownership by comparing students in a traditional lab course with students in a course-based undergraduate rese...

A Model for Holistic Review in Graduate Admissions That Decouples the GRE from Race, Ethnicity, and Gender.

Abstract: Graduate schools around the United States are working to improve access to science, technology, engineering, and mathematics (STEM) in a manner that reflects local and national demographics. The admissions process has been the focus of examination, as it is a potential bottleneck for entry into STEM. Standardized tests are widely used as part of the decision-making process; thus, we examined the Graduate Record Examination (GRE) in two models of applicant review: metrics-based applicant review and holistic applicant review to understand whether it affected applicant demographics at The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences. We measured the relationship between GRE scores of doctoral applicants and admissions committee scores. Metrics-based review of applicants excluded twice the number of applicants who identified as a historically underrepresented minority compared with their peers. Efforts to implement holistic applicant review resulted in an unexpected result: the GRE could be used as a tool in a manner that did not reflect its reported bias. Applicant assessments in our holistic review process were independent of gender, racial, and citizenship status. Importantly, our recommendations provide a blueprint for institutions that want to implement a data-driven approach to assess applicants in a manner that uses the GRE as part of the review process.

Can Test Anxiety Interventions Alleviate a Gender Gap in an Undergraduate STEM Course

Abstract: Gender gaps in exam scores or final grades are common in introductory college science and engineering classrooms, with women underperforming relative to men with the same admission test scores or college grade point averages. After failing to close a historically documented gender gap in a large introductory biology course using interventions targeted at training a growth mindset, we implemented interventions designed to reduce student test anxiety. We combined evidence-based exercises based on expressive writing and on reappraising physiological arousal. We also used a valid measure to quantify test anxiety at the start and end of the course. This instrument measures an individual's self-declared or perceived test anxiety-also called trait anxiety-but not the immediate or "state" anxiety experienced during an actual exam. Consistent with previous reports in the literature, we found that women in this population declared much higher test anxiety than men and that students who declared higher test anxiety had lower exam scores than students who declared lower test anxiety. Although the test anxiety interventions had no impact on the level of self-declared trait anxiety, they did significantly increase student exam performance. The treatment benefits occurred in both men and women. These data suggest that 1) a combination of interventions based on expressive writing and reappraising physiological arousal can be a relatively easy manner to boost exam performance in a large-enrollment science, technology, engineering, and mathematics (STEM) course and encourage emotion regulation; 2) women are more willing than men to declare that they are anxious about exams, but men and women may actually experience the same level of anxiety during the exam itself; and 3) women are underperforming in STEM courses for reasons other than gender-based differences in mindset or test anxiety.

Opportunities for Self-Evaluation Increase Student Calibration in an Introductory Biology Course.

Abstract: Students overestimate their performance on introductory biology exams early in the semester, but the accuracy of most students’ exam predictions improves over time. Instructional strategies can inc...

Improving Academic Performance, Belonging, and Retention through Increasing Structure of an Introductory Biology Course.

Abstract: Integration of active-learning approaches into increased-structure postsecondary classrooms significantly improves student academic outcomes. We describe here two parallel sections of Introductory Biology that shared learning objectives and content but varied in course structure. The large-enrollment traditional course consisted of four 50-minute lectures coupled with minimal active-learning techniques, while an increased-structure intervention course integrated multiple active-learning approaches, had limited enrollment, and comprised three 50-minute lectures combined with a fourth peer-led team-learning discussion section. Additionally, the intervention course employed weekly review quizzes and multiple in-class formative assessments. The academic impact of these two course formats was evaluated by use of common exam questions, final grade, and student retention. We showed that academic achievement and retention of participants enrolled in the intervention course was significantly improved when compared with the traditional section. Further, we explored whether promoting in-class student-student/student-instructor interactions and peer-led discussion sections fostered a greater sense of belonging. At the end of the course, participants in the intervention course reported greater perceptions of classroom belonging. Therefore, this study begins to characterize the importance of combining pedagogical methods that promote both academic success and belonging to effectively improve retention in science, technology, engineering, and mathematics majors.

Investigating Instructor Talk in Novel Contexts: Widespread Use, Unexpected Categories, and an Emergent Sampling Strategy.

Abstract: Instructor Talk-noncontent language used by instructors in classrooms-is a recently defined and promising variable for better understanding classroom dynamics. Having previously characterized the Instructor Talk framework within the context of a single course, we present here our results surrounding the applicability of the Instructor Talk framework to noncontent language used by instructors in novel course contexts. We analyzed Instructor Talk in eight additional biology courses in their entirety and in 61 biology courses using an emergent sampling strategy. We observed widespread use of Instructor Talk with variation in the amount and category type used. The vast majority of Instructor Talk could be characterized using the originally published Instructor Talk framework, suggesting the robustness of this framework. Additionally, a new form of Instructor Talk-Negatively Phrased Instructor Talk, language that may discourage students or distract from the learning process-was detected in these novel course contexts. Finally, the emergent sampling strategy described here may allow investigation of Instructor Talk in even larger numbers of courses across institutions and disciplines. Given its widespread use, potential influence on students in learning environments, and ability to be sampled, Instructor Talk may be a key variable to consider in future research on teaching and learning in higher education.

Prevailing Questions and Methodologies in Biology Education Research: A Longitudinal Analysis of Research in CBE-Life Sciences Education and at the Society for the Advancement of Biology Education Research.

Abstract: Biology education research (BER) is a growing field, as evidenced by the increasing number of publications in CBE-Life Sciences Education ( LSE) and expanding participation at the Society for the Advancement of Biology Education Research (SABER) annual meetings. To facilitate an introspective and reflective discussion on how research within LSE and at SABER has matured, we conducted a content analysis of LSE research articles ( n = 339, from 2002 to 2015) and SABER abstracts ( n = 652, from 2011 to 2015) to examine three related intraresearch parameters: research questions, study contexts, and methodologies. Qualitative data analysis took a combination of deductive and inductive approaches, followed by statistical analyses to determine the correlations among different parameters. We identified existing research questions, study contexts, and methodologies in LSE articles and SABER abstracts and then compared and contrasted these parameters between the two data sources. LSE articles were most commonly guided by descriptive research questions, whereas SABER abstracts were most commonly guided by causal research questions. Research published in LSE and presented at SABER both prioritize undergraduate classrooms as the study context and quantitative methodologies. In this paper, we examine these research trends longitudinally and discuss implications for the future of BER as a scholarly field.

GenBio-MAPS: A Programmatic Assessment to Measure Student Understanding of Vision and Change Core Concepts across General Biology Programs

Abstract: The Vision and Change report called for biology programs to focus instruction around core concepts. The development of a multiple-true-false assessment instrument designed to assess student underst...

A Multi-Institutional Analysis of Instructional Beliefs and Practices in Gateway Courses to the Sciences.

Abstract: This paper builds on previous studies of instructional practice in science, technology, engineering, and mathematics courses by reporting findings from a study of the relationship between instructors' beliefs about teaching and learning and their observed classroom practices. Data collection took place across six institutions of higher education and included in-depth interviews with 71 instructors and more than 140 hours of classroom observations using the Teaching Dimensions Observation Protocol. Thematic coding of interviews identified 31 distinct beliefs that instructors held about the ways students best learn introductory concepts and skills in these courses. Cluster analysis of the observation data suggested that their observable practices could be classified into four instructional styles. Further analysis suggested that these instructional styles corresponded to disparate sets of beliefs about student learning. The results add momentum to reform efforts that simultaneously approach instructional change in introductory courses as a dynamic relationship between instructors' subjective beliefs about teaching and learning and their strategies in the classroom.

Supports: A Key Factor in Faculty Implementation of Evidence-Based Teaching.

Abstract: Evidence-based teaching (EBT), such as active learning and formative assessment, benefits student learning but is not present in many college science classrooms. The choices faculty make about how to teach their science courses are influenced by their personal beliefs and motivations, as well as their departmental structures and institutional cultures. With data from 584 science, technology, engineering, and mathematics (STEM) faculty trained in EBT, we compare which of the following factors most relate to faculty's use of EBT: 1) faculty's personal motivations (e.g., teaching value, confidence, beliefs about intelligence); and 2) their experiences with their institutional teaching environments (e.g., departmental support, student enthusiasm). Faculty's perceived supports in their teaching environments (e.g., having supportive colleagues, being able to access curricular resources) were by far most predictive of their use of EBT. Faculty's personal motivations had little to no relationship when supports were included in these models. The effects were robust, even when controlling for faculty gender, minority status, and teaching experience. Much of the literature has focused on perceived barriers to EBT implementation (e.g., lack of time, constrained teaching space). The current data indicate that a focus on building supports for faculty may have the greatest impact on increasing the presence of EBT in college STEM courses.

Closing the Achievement Gap in a Large Introductory Course by Balancing Reduced In-Person Contact with Increased Course Structure.

Abstract: Hybrid and online courses are gaining attention as alternatives to traditional face-to-face classes. In addition to the pedagogical flexibility afforded by alternative formats, these courses also appeal to campuses aiming to maximize classroom space. The literature, however, reports conflicting results regarding the effect of hybrid and online courses on student learning. We designed, taught, and assessed a fully online course (100% online) and a hybrid-and-flipped course (50% online 50% face-to-face) and compared those formats with a lecture-based face-to-face course. The three formats also varied in the degree of structure; the hybrid course was the most structured and the face-to-face course was the least structured. All three courses were taught by the same instructor in a large Hispanic-serving research university. We found that exam scores for all students were lowest in the face-to-face course. Hispanic and Black students had higher scores in the hybrid format compared with online and face-to-face, while white students had the highest performance in the online format. We conclude that a hybrid course format with high structure can improve exam performance for traditionally underrepresented students, closing the achievement gap even while in-person contact hours are reduced.

Use of the Test of Scientific Literacy Skills Reveals That Fundamental Literacy Is an Important Contributor to Scientific Literacy.

Abstract: College science courses aim to teach students both disciplinary knowledge and scientific literacy skills. Several instruments have been developed to assess students' scientific literacy skills, but few studies have reported how demographic differences may play a role. The goal of this study was to determine whether demographic factors differentially impact students' scientific literacy skills. We assessed more than 700 students using the Test of Scientific Literacy Skills (TOSLS), a validated instrument developed to assess scientific literacy in college science courses. Interestingly, we found that Scholastic Aptitude Test (SAT) reading score was the strongest predictor of TOSLS performance, suggesting that fundamental literacy (reading comprehension) is a critical component of scientific literacy skills. Additionally, we found significant differences in raw scientific literacy skills on the basis of ethnicity (underrepresented minority [URM] vs. non-URM), major (science, technology, engineering, and mathematics [STEM] vs. non-STEM), year of college (e.g., senior vs. freshman), grade point average (GPA), and SAT math scores. However, when using multivariate regression models, we found no difference based on ethnicity. These data suggest that students' aptitude and level of training (based on GPA, SAT scores, STEM or non-STEM major, and year of college) are significantly correlated with scientific literacy skills and thus could be used as predictors for student success in courses that assess scientific literacy skills.

Expert-Novice Comparison Reveals Pedagogical Implications for Students' Analysis of Primary Literature.

Abstract: Comparison of think-aloud interviews of biology faculty and students as they read a research article revealed that faculty have more complex schemas than students and that they reduce cognitive loa...

STEM Is Not a Monolith: A Preliminary Analysis of Variations in STEM Disciplinary Cultures and Implications for Change.

Abstract: Translating theory to practice requires developing theories of disciplinary cultures and how they change. This report describes similarities and differences between STEM disciplinary cultures that ...

"Seeing" Data Like an Expert: An Eye-Tracking Study Using Graphical Data Representations.

Abstract: Given the centrality of data visualizations in communicating scientific information, increased emphasis has been placed on the development of students' graph literacy-the ability to generate and interpret data representations-to foster understanding of domain-specific knowledge and the successful navigation of everyday life. Despite prior literature that identifies student difficulties and methods to improve graphing competencies, there is little understanding as to how learners develop these skills. To gain a better resolution of the cognitive basis by which individuals "see" graphs, this study uses eye tracking (ET) to compare the strategies of non-science undergraduates (n = 9), early (n = 7) and advanced (n = 8) biology undergraduates, graduate students (n = 6), and science faculty (n = 6) in making sense of data displays. Results highlight variation in how individuals direct their attention (i.e., fixations and visual search patterns) when completing graph-based tasks as a function of science expertise. As research on the transition from novice to expert is crucially important in understanding how we might design curricula that help novices move toward more expert-like performance, this study has implications for the advancement of new strategies to aid the teaching and learning of data analysis skills.

Computer-Based and Bench-Based Undergraduate Research Experiences Produce Similar Attitudinal Outcomes.

Abstract: Course-based undergraduate research experiences (CUREs) have the potential to improve undergraduate biology education by involving large numbers of students in research. CUREs can take a variety of forms with different affordances and constraints, complicating the evaluation of design features that might contribute to successful outcomes. In this study, we compared students' responses to three different research experiences offered within the same course. One of the research experiences involved purely computational work, whereas the other two offerings were bench-based research experiences. We found that students who participated in computer-based research reported at least as much interest in their research projects, a higher sense of achievement, and a higher level of satisfaction with the course compared with students who did bench-based research projects. In open-ended comments, similar proportions of students in each research area expressed some sense of project ownership as contributing positively to their course experiences. Their comments also supported the finding that experiencing a sense of achievement was a predictor of course satisfaction. We conclude that both computer-based and bench-based CUREs can have positive impacts on students' attitudes. Development of more computer-based CUREs might allow larger numbers of students to benefit from participating in a research experience.

Laboratory Courses with Guided-Inquiry Modules Improve Scientific Reasoning and Experimental Design Skills for the Least-Prepared Undergraduate Students.

Abstract: Past studies on the differential effects of active learning based on students' prior preparation and knowledge have been mixed. The purpose of the present study was to ask whether students with different levels of prior preparation responded differently to laboratory courses in which a guided-inquiry module was implemented. In the first study, we assessed student scientific reasoning skills, and in the second we assessed student experimental design skills. In each course in which the studies were conducted, student gains were analyzed by pretest quartiles, a measure of their prior preparation. Overall, student scientific reasoning skills and experimental design skills did not improve pretest to posttest. However, when divided into quartiles based on pretest score within each course, students in the lowest quartile experienced significant gains in both studies. Despite the significant gains observed among students in the lowest quartile, significant posttest differences between lowest and highest quartiles were observed in both scientific reasoning skills and experimental design skills. Nonetheless, these findings suggest that courses with guided-inquiry laboratory activities can foster the development of basic scientific reasoning and experimental design skills for students who are least prepared across a range of course levels and institution types.

Exploring the Impact of Formal Internships on Biomedical Graduate and Postgraduate Careers: An Interview Study.

Abstract: Graduate students and postdocs in science, technology, engineering, and math fields are faced with a wide range of career paths to employment, but they are often not trained to effectively pursue these opportunities. The lack of career management skills implies long tenures in graduate school for many students, especially as tenure-track positions in academia dwindle. At our university, we used a cohort model in which graduate students and postdocs were encouraged to apply to the Broadening Experiences in Scientific Training program (BEST under the aegis of the National Institutes of Health) that provided opportunities to gain career management skills, engage in career exploration, and complete at least one formal internship. In this interview study of the BEST trainees, we investigated the efficacy of internships as career exploration tools and associated outcomes. Our findings show that internships were seen as effective career exploration and self-development vehicles that influenced participants' long-term career goals. Graduate students and postdocs reported gaining transferable knowledge and skills, in addition to receiving valuable industry mentoring and networking opportunities.

Applying the Stress Process Model to Stress–Burnout and Stress–Depression Relationships in Biomedical Doctoral Students: A Cross-Sectional Pilot Study

Abstract: Although doctoral students in the biomedical sciences have been recognized as a population at particular risk for mental health problems such as burnout and depression, little research has been conducted to identify candidate targets for intervention. To this end, we used the stress process model to evaluate potential mediators of stress-burnout and stress-depression relationships in biomedical doctoral students. A cross-sectional sample (n = 69) completed validated self-report measures of stress; symptoms of burnout and depression; and perceptions of mastery, social support, and advisor support. In linear regression models, we found that academic stressors were most predictive of burnout, whereas family/monetary stressors were most predictive of depression. In mediation models, we found that the relationship between stress and burnout was partially mediated by mastery and advisor support, while the stress-depression relationship was partially mediated by mastery. These findings represent a first step in identifying interventional targets to improve mental health in this at-risk population. Whereas certain stressors are inherent to the doctoral training environment, psychosocial interventions to enhance one's sense of mastery and/or to improve advisor relationships may mitigate the influence of such stressors on burnout and depression.

Navigating Social Relationships with Mentors and Peers: Comfort and Belonging among Men and Women in STEM Summer Research Programs.

Abstract: Gender disparities in science, technology, engineering, and mathematics (STEM) are well documented, yet little is known about how women and men students establish social relationships with research mentors and peers and how that shapes their experiences in STEM. We conducted a series of interviews with 17 undergraduate students from a Hispanic majority institution regarding their participation in STEM-focused summer research programs at nine universities. Differences in levels of comfort in relationships were present when comparing men and women. Women students expressed comfort in relationships with mentors who provided psychosocial mentoring, were available to answer questions, and were of the same gender; they expressed some social discomfort in informal interactions with mentors. Men students felt comfortable with mentors who provided limited guidance, little psychosocial mentoring, and opportunities for informal interactions. In terms of peer relationships, women sought out the confidence of a few similar peers, while men were comfortable with a wide variety of peers. Men’s greater comfort with social relationships seemed to reflect their affinity with the masculine-dominated culture of STEM. For women, cultivating safe spaces through relationships with supportive peers and working with same-gender faculty mentors seemed to mitigate some of the discomforting aspects of their STEM research experiences.