This paper introduces an approach to measurement that positions context and situativity as an intrinsic part of the measurement model in a manner compatible with the learning sciences' view of learning as a transactive process within a broader sociocultural ecosystem.This approach relies on a mixed methods approach to measurement in which qualitative data are integrated into a moderated nonlinear factor analytic (MNLFA) framework.Using data from a longitudinal student of Ph.D. students in the biological sciences, we demonstrate that sensemaking context elicited through interview data could be incorporated directly into the model to enhance the comparability of scale scores collected across multiple timepoints.On multiple items that demonstrated item parameter drift (IPD) without moderation, the inclusion of a relevant idiographic contextual variable permitted the fitting of a moderated model that eliminated IPD.

Using a national sample of 336 biology Ph.D. students, this study classified students based on their interactions with faculty and peers, and investigated longitudinal changes in their interaction classifications over 3 years. We also examined associations between students' interaction classifications, their demographic backgrounds (e.g., gender, international student status, first-generation status, and underrepresented racial/ethnic minority status), and doctoral outcomes (e.g., sense of belonging, satisfaction with academic development, institutional commitment, and scholarly productivity). The findings revealed that three distinct subgroups existed among the current sample of biology Ph.D. students, with respect to their interactions with their faculty and peers: high interaction with faculty and peers, high interaction with peers only, and low interaction with faculty and peers. However, such patterns of doctoral students' interactions with faculty and peers tended to, in general, be stable over time. In addition, while the differential effects of demographic variables on changes in these interaction patterns were widely founded, such changes were not substantially linked to doctoral student outcomes. Implications for research on doctoral education and socialization theory are discussed.

Many students in the United States experience educational disruptions when changing schools for reasons other than grade promotion. These nonstructural moves can detrimentally affect students' mathematics learning. While gender significantly shapes individual learning experiences, how student mobility plays out in mathematics learning based on gender has remained largely unexplored. Analysing six California school districts' panel data using school-fixed effect models, the findings in this study showed that the negative association of nonstructural mobility with mathematics performance is more detrimental for males than females and that self-management competency levels fully account for the differential effect. The findings suggest gender should be considered in understanding students' mobility experiences and underscore the need for incorporating self-management into educational interventions to mitigate the negative effects of nonstructural school transitions on mathematics performance.

One of the most important developmental relationships in the doctoral student experience is that of the faculty advisor, and yet we know little about whether and how advisor relationships vary between first-generation and continuing-generation doctoral students. Drawing on qualitative interviews with 83 late-stage doctoral students in biological sciences, we explore differences in student perceptions of their relationships with advisors. Narratives reveal a continuum of relationship types, including strained, evolving, supportive, and equal. In equal relationships, doctoral students feel more like collegial partners working alongside their advisors. While continuing-generation and first-generation students are similarly represented among strained and evolving relationships, first-generation students rarely attain equal relationship status. The presented findings offer implications for understanding how inequality shapes student–advisor relationships, the role of collegiality in doctoral education’s hidden curriculum, and the supports needed to foster equity for first-generation students in graduate programs. © 2024 by the authors.

Prior literature has documented the importance of faculty advisors in the doctoral student socialization process, with a few studies describing negative advising relationships characterized by disengagement, disinterest, unsupportive behavior, and interpersonal conflict. We extend this research by exploring how negative advising relationships emerge and develop over time. Examining longitudinal interviews over four years with 15 doctoral students in biological sciences in the USA who experienced negative relationships with their advisors, we illuminate how negative advising relationships unfold over the course of graduate studies. We find two primary patterns in challenging relationships: some students show a gradual decline in relationship health over time, while others point to a single event altering their relationship trajectory. We also identify specific factors that shape each of these negative relationship types. By revealing the different social processes that underlie the emergence of negative advising relationships, our findings provide a valuable contribution to understanding the complex social landscape of doctoral education. The findings further the dialogue on how faculty advisors can craft successful pathways through graduate education, thereby supporting the academic and professional success of doctoral students. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Three-dimensional (3D) technologies such as 3D digital prototyping have recently been used in apparel engineering to reduce the number of costly physical prototypes. This technology can simulate garment drapes by digitally sewing 2D patterns and placing them on a 3D avatar. Yet, current limitations in simulation accuracy mean physical prototypes are still indispensable. Integrating AI technologies shows promise in accelerating digital transformation in the apparel industry. AI can support decision-making in apparel design, size and fit prediction, and fashion recommendations. It can also assist decision-making in technical design by predicting garment fit before making physical prototypes or offering solutions for misfit areas. Research indicates that models such as Naive Bayes (NB), Support Vector Machine (SVM), and Artificial Neural Networks (ANN) offer robust solutions for fit evaluation. However, they require further testing across diverse garment styles and demographics. Developing a nuanced classification system for fit conditions could improve model accuracy, ultimately supporting the industry's shift towards digital and AI-enhanced product development. In this study, we propose a framework to achieve such a system.

Purpose - While ample literature describes students' experiences during graduate school, fewer studies examine how doctoral students transition into full-time employment post degree completion. The purpose of this study is to examine how faculty advisors, as well as other individuals, shape students' experiences during a critical period in their graduate education - the job search. Design/methodology/approach - This study is based on interviews with 47 PhD students in biological sciences in the US. This is a descriptive qualitative study, based on in-depth, semi-structured interviews. Findings - Results reveal distinct roles that faculty advisors play in the job search process, including supportive, unsupportive and sponsorship. Supportive advisors offer opportunities for skill development and specific guidance during the job search process. Sponsorship advisors go beyond providing general support to leverage their personal networks to assist in the transition into full-time employment. Unsupportive advisors are on the other end of the spectrum and do not provide any assistance. In addition, the majority of doctoral students rely on individuals beyond their advisors during the job search, and they do so regardless of what type of support they receive from their advisors. Originality/value - Presented findings highlight the complex constellation of social connections that graduate students draw on for entry into the career and make a compelling case for extending socialization research to dedicate more attention to students' transition into full-time employment after degree completion.

Background: Extensive research has documented the importance of faculty advisors for graduate students' experiences and outcomes. Recent research has begun to provide more nuanced accounts illuminating different dimensions of advisor support as well as attending to inequalities in students' experiences with advisors. Purpose: We extend the research on graduate student advisor relationships in two important ways. First, building on the concept of social capital, and in particular the work on institutional agents, we illuminate specific benefits associated with student-advisor relationships. Second, we advance prior work on inequality in advisor relationships by examining students' experiences at the intersection of race and gender. Research Design: To illuminate the nuances of graduate students' experiences with advisors, this study included interviews with 79 students pursuing PhD's in biological sciences. Thematic coding revealed several important dimensions of benefits associated with advisor relationships. Corresponding codes were grouped into three categories, describing three groups of students with notably different experiences with advisors. Findings: The data revealed three distinct student-advisor relationship profiles which we term scholars, subordinates, and marginals. The three groups had vastly different experiences with access to knowledge and resources, access to networks, and cultivation of independence. Moreover, the distribution across these three groups was highly unequal with unique patterns observed at the intersection of race and gender. White men benefited from both racial and gender privilege and were notably overrepresented in the scholars group while White women and racial/ethnic minority (REM) students were more likely to be socialized as subordinates. REM men had the least favorable experiences with the majority of them being in the marginal category, along with a substantial proportion of White and REM women. Notably, even experiences of negative relationships with advisors were gendered and raced: REM men's negative relationships with advisors were characterized by benign neglect while women primarily experienced conflictual relationships. Conclusion and Recommendations: The findings illuminate important consequences of student-advisor relationships and pronounced inequalities in who has access to benefits accrued through those relationships. Creating more equitable experiences will necessitate substantial attention to improving mentoring and eliminating gender and racial/ethnic inequalities in faculty support.

Purpose This study aims to focus on the experiences of biomedical science students nearing the end of their doctoral programs and the factors that influence their well-being. In addition to identifying general challenges, the study aims to expand understanding of how interactions with principal investigators (PIs) can influence students' well-being and engagement in wellness practices. Design/methodology/approach This qualitative study presents an analysis of interview data collected from 90 trainees five years after beginning their graduate programs. All were participants in a larger mixed-methods, longitudinal study. Emergent themes and a codebook were established after reviewing interview transcripts and completing memos. Codes were applied to data, and reports were generated to confirm and challenge early interpretations. Findings Participants described four key factors that influenced their well-being: perceived work/life balance; managing progress on research; program completion and job search; and overall faculty relationships. While relationships with PIs could be a source of stress, participants more often described how both interactions with, and observations of their PIs could amplify or mitigate their ability to manage other stressors and overall sense of well-being. Originality/value While researchers in the USA have increasingly considered the factors impacting graduate student mental health, there has been less of an emphasis on wellness and well-being. Furthermore, there has been less attention to how PIs contribute, in positive and negative ways, to these outcomes. This study offers insight into well-being at a specific timepoint, considering dynamics unique to wellness and well-being in the later stages of doctoral training.

Purpose The purpose of this study is to examine how student agency influences career decision-making for doctoral students in biological sciences. The authors address the following questions: How do biological science graduate students navigate career indecision? And how does agency relate to their experiences with career indecision? Design/methodology/approach The authors analyzed interview data collected from 84 PhD biology graduate students. Researchers used a grounded theory approach. After open codes were developed and data were coded, code reports were generated, which were used to determine themes. Findings More than half of the sample had not committed to a career path, and undecided students were bifurcated into two categories: Uncommitted and Uncertain. Uncommitted graduate students demonstrated agency in their approach and were focused on exploration and development. Uncertain students demonstrated less agency, were more fearful and perceived less control and clarity about their options and strategies to pursue career goals. Practical implications Findings suggest some forms of indecision can be productive and offer institutional leaders guidance for increasing the efficacy of career development and exploration programming. Originality/value Research on doctoral student career decision-making is often quantitative and rarely explores the role of agency. This qualitative study focuses on the relationship between student agency and career indecision, which is an understudied aspect of career development.