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Given a myriad of recent contemporary challenges graduate students are facing as well as long-standing issues with student attrition, there is a pressing need to reexamine models of doctoral student progress. While existing research commonly examines departure or failure to meet milestones as the outcome of interest, by the time students leave their programs, it is too late for faculty or departments to offer meaningful interventions. Drawing from Girves and Wemmerus's conceptual framework for doctoral student degree progress, we leverage more recent literature to propose and test an adapted conceptual framework among a recent nationwide sample of computing doctoral students in the United States. Findings illuminate the importance of psychosocial factors (e.g., sense of belonging, researcher self-efficacy), positive perceptions of departmental community, and the role of faculty advisors in reducing doctoral students' consideration of departure. Implications for departmental efforts and faculty advising practices that can honor students' agency and identity in the computing Ph.D. process and that may affect change in doctoral education are discussed.

This study reports on two key aspects relating to the use of the Online Learning Readiness Self-Check (OLRSC) survey, which has been proposed as identifying non-traditional students' readiness for online learning, and their strengths and weaknesses in six key areas. The first aspect validates the use of the instrument based on data from 199 students engaged in an online tertiary enabling course at a regional university in Australia. Factor analysis verified the scale structure of the instrument; however, two items were removed prior to the final analysis due to low communality and/or high cross loading with other items. This is followed by an examination of whether the instrument might be useful for the early identification of students who are at risk of disengagement from the enabling program. While it was hypothesised that the instrument, which measured factors such as the quality of interaction with peers and instructors, their capacity to manage technology and how well they managed learning, should have been a useful tool to identify early disengagement, the hypothesis was not supported. No significant associations were identified between any of the instrument's scales and early withdrawal from the course or completion of the first unit of study. Future recommendations for educators are made with a view to improving student engagement.

We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most influential in dropout prediction. To evaluate its effectiveness, we compared the predictive performance of our hybrid model with two other survival analysis models: the piecewise exponential model and a hybrid model combining a fully-connected neural network with a piecewise exponential model. Additionally, we compared it to five other cross-sectional models: Ridge Logistic Regression, Lasso Logistic Regression, CART decision tree, Random Forest, and XGBoost decision tree. Our findings demonstrate that the hybrid model outperforms or performs comparably to the other models when predicting dropout among students at the University of Delaware in Spring 2020, Spring 2021, and Spring 2022. Moreover, by categorizing predictors into three distinct groups--academic, economic, and social-demographic--we discovered that academic predictors play a prominent role in distinguishing between dropout and retained students, while other predictors may indirectly influence predictions by impacting academic variables. Consequently, we recommend implementing an intervention program aimed at identifying at-risk students based on their academic performance and activities, with additional consideration for economic and social-demographic factors in customized intervention plans.

Background: Although most engineering graduate students are funded and usually complete their degrees faster than other disciplines, attrition remains a problem in engineering. Existing research has explored the psychological and sociological factors contributing to attrition but not the structural factors impacting attrition. Purpose/Hypothesis: Using systems theory, this study seeks to understand nuance in how underlying structural causes affect engineering graduate students' attrition experiences in ways that may differ from their official reasons for departure. Design/Methods: Data were collected through semi-structured interviews with seven departing or already departed engineering doctoral students from R1 graduate programs across the United States. Using thematic analysis, root cause analyses were conducted to understand participants' attrition experiences to explore how structures influence causes of departure. Results: The ways participants discuss root causes of their departure indicate differences in formal reasons for departure and underlying causes of departure. We highlight the role of informal and formal policy as root causes of a different attrition rationale often passed off as interpersonal issues. When interpreted as evidence of structural issues, the causes of departure show ways in which action-inaction, policy-"null" policy serve as structural features governing student attrition decision processes. We also highlight a form of benign neglect toward struggling graduate students. Conclusion: This study reveals important nuances underlying face-value reasons of attrition indicating foundational structural issues contributing to engineering graduate student attrition. Coaching faculty in team management and encouraging close revision of departmental policies could help mitigate students' negative graduate experiences and decrease unnecessary attrition.

Community colleges provide broad access to a college degree due to their less expensive tuition, greater course time offerings, and more open admission policies compared to four-year universities as reported (Juszkiewicz, 2015). These institutions have great potential to diversify who chooses STEM, such as engineering. Such diverse representation is important, because students from different backgrounds can contribute new perspectives that foster creative and innovative approaches to solving problems. However, approximately 40% of the students who enter community college in the U.S. leave before graduation (Xu & Jaggars, 2011). Harnessing the power of social media to reduce attrition, we tested a pilot intervention in which community college students in engineering courses completed a reflection exercise after watching YouTube videos of former engineering students from similar backgrounds who successfully transferred to a four-year college. Quasi-experimental analyses (N = 537) show that students in the intervention received higher engineering course grades and had greater odds of enrolling in an engineering course in the subsequent term compared to those who were not in the intervention. Additionally, we find support for the hypothesis that the intervention has larger benefits for women. Results suggest that hearing from other students about their engineering experience can be a useful tool for improving community college students' choices and performance.

Student attrition from STEM disciplines is one of the most pressing issues in higher education. To better understand the causes of this attrition, this study examines STEM students' college experiences and uncovers their perspectives on the existing support systems with a specific focus on the role of academic advising. Our research reveals that students from a particular STEM major identified academic advising as problematic, serving as one of the main factors pushing them out of the major, while the STEM major they transferred to did not have this issue. We examined whether this difference was also evident in the perspectives of the student affairs offices by interviewing academic counselors. This research emphasizes the responsibility of academic counselors in students' decisions to leave STEM majors and the importance of care in their work. The findings suggest a need for STEM departments to re-assess academic advising philosophies and practices while creating more supportive learning environments.

Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success. Accordingly, in the computer science education literature it has been suggested that the pedagogical philosophy of 'mastery learning,' which supports students progressing at their own pace, can improve academic outcomes of CS1 courses. Nevertheless, few extended mastery learning implementations in CS1 have been documented in the literature, and there is a lack of guidance and best practices to foster its adoption. In this paper, we present a four-year action research study in which a modular mastery-based CS1 course was designed, evaluated and improved in successive iterations with cohorts of engineering freshmen in a Latin American research university (N = 959). In the first year of the intervention, only 19.3% of students passed the course in their first semester attempting it. In successive iterations, the instructional design, teaching and learning activities, course content, and course management were iteratively improved such that by the fourth year of offering 77.1% of students passed the course in their first semester. Over this period, course attrition was reduced from 25.0% to 3.8% of the cohort, and students' mean time spent in the course decreased from 23.2 weeks (SD = 7.38) to 14.9 (SD = 3.64). Results indicate that modularization for mastery learning is a viable approach for improving academic results in a CS1 course. Practical considerations towards successful implementation of this approach are presented and discussed.

Underrepresented students in medicine (URM) have more negative perceptions of the medical school learning environment (LE), a phenomenon that can contribute to higher rates of burnout and attrition in these populations. The hidden curriculum (HC) - defined as a set of values informally conveyed to learners through clinical role-modeling - is a LE socialization construct that has been critically examined for its role in shaping students' professional identities. Yet differences in how URMs and non-URMs experience the HC remain underexplored. The study used a pragmatic approach that drew on elements of grounded theory and employed both deductive and inductive reasoning. Investigators conducted qualitative, semi-structured interviews with a purposive sample of 13 URM and 21 non-URM participants at a Bronx, NY medical school. Interviews examined student experiences and reactions to the HC. Both cohorts witnessed patient disparagement and mistreatment. However, from these encounters, URM participants expressed more "moral injury" -the adverse emotional consequence of feeling pressured to accept ideologically incongruent values. URMs were also more likely to describe resisting the HC. Differences in group reactions appeared to arise from URMs' identity resonance with patients' lived experiences. Participants across cohorts emphasized increasing URM recruitment as one step toward mitigating these circumstances. URM participants experienced more distress and offered more resistance to the HC relative to non-URMs. The etiology of these differential reactions may stem from relative barriers in negotiating personal and professional identities. As such, URMs' perceptions of the LE may be adversely impacted given their more negative interactions with the HC.

Success for 4-year universities is often measured by graduation and retention rates; however, gaps exist in understanding nonreturning students at private institutions. Recent research is helping to build the lexicon of drop-outs, stop-outs, opt-outs, and transfer-outs to inform strategic retention initiatives. Using an action research method, we characterized 1,091 students into designated subclasses and utilized exit interviews, advising notes, and university surveys to theme their departure intentions. Findings reveal transfer-outs to be the largest subclass, with departure reasons being summarized within themes of university experience and fit, health, academic, and financial. Recommendations are made for university administrators and retention offices related to exit survey questions, broadening success metrics, and to focus on specific student characteristic groups.

In the context of the COVID-19 pandemic, this study offers a contemporary look at crisis response in higher education and demonstrates the marketing implications of universities' crisis response. Using Situational Crisis Communication Theory, the link between university crisis response and student attrition through resilient coping and trust was examined. Data collected from 340 students were analysed to determine the specific indirect and serial mediation effects of university crisis response on student attrition intention. Results revealed that students' resilient coping and trust individually and serially mediates the relationship between university crisis response and student attrition intention. A multigroup analysis also revealed that crisis response has a weaker effect on resilient coping for female students and a weaker effect on attrition intention for new students. Findings recommend among other things that crisis response mitigates student attrition through trust and coping, and that it should be tailored and gender-specific for effectiveness.

Mental health problems are learning problems. Students seeking services at campus counseling centers are at increased risk of attrition. If the retention rate of college students seeking counseling center services is close to the retention rate of the overall student population, this is evidence of a significant positive effect for counseling services. If counseling center clients are retained at a higher rate than the overall campus population, this is evidence of a very large positive effect. A literature review identified five longitudinal studies that found that students seeking services at the campus counseling center had retention rates significantly higher than an appropriate control group. In addition, counseling center surveys consistently find that about two thirds of their clients report that counseling services helped them stay in school. Collectively, this data provides strong evidence that counseling services have a significant positive effect on retention, and should be included on lists of high impact practices.

Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an Italian university, the research incorporates a range of variables, including demographic information, prior educational metrics, and real-time academic performance indicators. We present a nuanced comparative evaluation of the RF and FTT models, highlighting their predictive accuracy and interpretative capabilities. Our empirical results demonstrate the effectiveness of machine learning in managing student attrition, with FTT models outperforming RF models in terms of predictive accuracy and achieving a sensitivity rate of 81%. Significantly, the inclusion of historical academic data enhances the models' ability to identify students at increased risk of dropping out. Furthermore, we apply advanced explanatory techniques, such as shapley additive explanations, to investigate the discriminative power of these models across different student profiles. This provides valuable insights into the key variables influencing dropout risk, contributing to a more holistic understanding of the issue. In addition, we conduct a fairness analysis to ensure the ethical robustness of our predictive models, making them not only effective but also equitable tools.

Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type (unsuccessful completers vs. withdrawers). Aptitude is a strong predictor of success but not of retake. Having taken or concurrently taking intermediate macro reduces the likelihood of withdrawal and increases that of retake. Proficiency in calculus reduces the likelihood of unsuccessful completion but is uncorrelated with withdrawal and retake. Predictors of unsuccessful completion, withdrawal, and retake are similar in direction and significance for males and females, although magnitudes differ. URM students are more likely than white and Asian students to earn less than a C-.

This qualitative study aims to provide insight into why teacher candidates, interested in pursuing K-12 teaching, made the decision to leave their traditional teacher preparation programs during the COVID-19 pandemic. The researchers utilized sociocultural theory as the framework to ground the research. The study finds the educational disruption caused by the pandemic added a layer of complexity to candidates' experiences, including missed opportunities, limited clinical experience, and a general sense of uncertainty, which altered teacher candidates' outlook on the teaching profession, impacted their education journeys, and ultimately shifted their immediate career trajectories. The results from this study indicate that clinical experiences are an important predictor of whether teacher candidates remain in their preparation programs. With this research study, we hope to support the development of a more robust teacher pipeline.

Social mobility, and in particular, intergenerational mobility, can be driven by increased opportunities for extended education. Movement beyond a family's social class will often see positive changes to overall life satisfaction, however, this movement can introduce feelings of alienation. This in turn can lead to detachment either from the social group or, more likely, from the educational provision. As such, institutions are spending time and resources to investigate strategies for retention. This study looks at the impact of foundation year bridging programmes and the potential they have to increase course retention and persistence of students. A retrospective statistical analysis of seven academic years (using chi square) highlighted that completion of a foundation year bridging programme before a traditional undergraduate degree increased the likelihood of persistency and decreased the attrition rate of students from low participation neighbourhoods. These findings, when considered alongside seminal theoretical frameworks such as Spady, Pascarella, and Tinto, confirm the role which family and social background must play in a student's ability to complete an undergraduate degree. Family and other social support networks are known to play a role in the provision of a supportive environment for students and the undertaking of a bridging programme allows time for the adaptation and development of new friendship groups and increase a family's familiarity with the pressures of higher education. Higher education providers may, therefore, be able to begin to tackle attrition and improve their course retention through family education and through the encouragement of social integration via bridging programmes.

The COVID-19 period ushered in a paradigmatic shift towards exponential growth of ubiquitous e-learning. Despite the well-documented benefits of e-learning, which received unprecedented attention during the COVID-19 pandemic, little has been reported on factors influencing student dropout rates in courses delivered via e-learning. In this paper, the authors explore the factors contributing to student discontinuations in nonvolitional postpandemic conditions. Adopting a multimethod qualitative research design, the authors investigated the factors leading to increased student dropout rates from e-learning programs. The researchers used thematic analysis to interpret the data, resulting in the emergence of five themes. The findings reveal several factors contributing to failure to complete studies on programs delivered via e-learning. Although not exclusively conclusive, the study's findings indicate skills gap solutions and resource concerns which need to be addressed to convert market demand and enrolment into optimum completion rates, thereby increasing e-learning's success.

Objective: The quantitative measurement and antecedents of doctoral well-being have not been sufficiently explored in the extant literature, creating a significant gap based on alarming statistics of high attrition rates and psychological distress among PhD scholars. Therefore, based on the theory of conservation of resources, our study examines the role of personal resources such as harmonious passion (HP), Grit, and psychological capital (PsyCap) in enhancing PhD students' well-being. Additionally, it proposes a novel conceptualisation of doctoral well-being, combining research engagement (eudaimonic well-being) and satisfaction (hedonic well-being). Method: We use structural equation modelling to analyse data collected from 239 doctoral students in India's higher educational institutions (HEI). Results: The results show that HP and Grit are significantly and positively associated with doctoral students' well-being while PsyCap partially mediates the relationship of HP and Grit with well-being. Conclusions: HP and Grit are personal resources which can enhance doctoral students' well-being. PsyCap assists in this process through resource gain whereby students with higher personal resources could gather further resources, leading to hedonic and eudaimonic well-being. The study also highlights practical implications for supervisors and management of HEIs.

The persistent gender gap in science, technology, engineering, and mathematics (STEM) is often attributed to differences in students' confidence in their own academic abilities (i.e. self-efficacy). Yet, the role of self-efficacy in mediating gender differences in STEM attrition is unclear. To address this issue, we analyse administrative register data and representative survey responses from two cohorts of students (N = 14,427) who entered higher education programmes in 2017 and 2019. In linear models that adjust for high-school performance, parents' education level and other relevant background variables, we find that women have lower average self-efficacy levels than men before entering higher education. This gender gap is not specific to STEM fields but also exists in the humanities and social sciences. Although women have higher dropout rates than men in some, but not all STEM areas (most notably in mathematics and physics), self-efficacy differences do not explain this gap, suggesting that factors beyond prior achievements, sociodemographic background and confidence in one's own abilities perpetuate gender disparities in STEM attrition.

The increased availability of technology in higher education has led to the growth of online learning platforms. However, a significant concern exists regarding dropout rates in online higher education (OHE). In this ever-evolving landscape, student attrition poses a complex challenge that demands careful investigation. This systematic literature review presents a comprehensive analysis of the literature to uncover the reasons behind dropout rates in virtual learning environments. Following the PRISMA guidelines, this study systematically identifies and elucidates the risk factors associated with dropout in online higher education. The selection process encompassed articles published between 2013 and June 2023, resulting in the inclusion of 110 relevant articles that significantly contribute to the discourse in this field. We examine demographic, course-related, technology-related, motivational, and support-related aspects that shape students' decisions in online learning programs. The review highlights key contributors to dropout like the quality of the course, academic preparation, student satisfaction, learner motivation, system attributes, and support services. Conversely, health concerns, financial limitations, technological issues, screen fatigue, isolation, and academic workload, emerge as significant limitations reported by online learners. These insights offer a holistic understanding of dropout dynamics, guiding the development of targeted interventions and strategies to enhance the quality and effectiveness of online education.

International students are not only agents for the internationalisation of a campus environment but also a crucial source of income for universities and a country's economy. Thus, their recruitment and retention are vital and prioritised by university leadership and policymakers. However, scant attention has been given to investigating international student withdrawal, even more so on visa-related matters. This paper focuses on the lived experiences of five former students from Syria who withdrew from education pursuits in Malaysia due to visa-related issues. This phenomenological study found the absence of clear knowledge of immigration procedures among institution staff and unsympathetic treatment towards international students were the primary reasons behind withdrawals. These findings suggest negative student experiences affect not only current students but also potential students. Whilst the findings add to existing knowledge and future studies, the study marks the first in-depth investigation concerning the impact of visa-related issues on international student withdrawal.

Peer coaching is a formal program whereby successful students support their peers in attaining academic and social goals. Survey results unveiled that 90 percent of coachees felt peer coaches enhanced learning, and 100 percent felt peer coaches engendered a sense of community and belonging. More than 85 percent of coachees planned to persist in their degree pursuit, and 90 percent felt that their studies were preparing them for the workforce. Interviews revealed that coaches regularly connect coachees with resources such as the Learning Resource Center, Financial Aid, and Advising. There are three crucial elements for successful peer coaching programs: training coaches, creating a supportive environment for coaches, and monitoring and evaluating the success of the program. While the benefits of peer coaching are tremendous for students, fostering student retention also holds the potential for addressing the considerable budget shortfalls facing universities since the pandemic.

STEM undergraduates navigate lengthy sequences of prerequisite courses covering volumes of science content. Given that these courses may contribute to attrition and equity gaps in STEM, research is needed to test the assumption that prerequisite content benefits students in their future studies and careers. We investigated the relevance of prerequisite course content for students' careers through semistructured interviews with practicing nurses regarding their undergraduate anatomy and physiology (A&P) courses. Nurses reported that A&P content does not align with the skills and knowledge needed in the nursing profession. Interviewees averaged 39% on a brief A&P assessment, suggesting A&P prerequisites failed to impart a high degree of long-term A&P knowledge among nurses. Further, practicing nurses perceived overcommitment to A&P content coverage as an exclusionary practice that eliminates capable individuals from the prenursing pathway. These findings challenge assumptions surrounding the justification for prerequisite course content and raise questions of whether content expectations actively exclude individuals from STEM or healthcare careers. We aspire for this study to stimulate conversation and research about the goals of prerequisite content, who is best positioned to articulate prerequisite content objectives, and the influence of content coverage on equity and justice in undergraduate STEM education.

Although student academic support programs have dated back to Early Colleges in America, the way we service our students' populations has had to evolve. Various student support programs have been utilized over the years, and while at that current time may have indicated benefits, are now outdated. One service that is demonstrating success is Supplemental Instruction (SI). There is a plethora of quantitative research studies that support the use of SI for raising students' grades in historically difficult courses. Few research studies explore the qualitative benefits and experiences of SI experienced by students. The purpose of this study was to explore students' perceptions and experiences in a community college mathematics course with attached SI. This study explored the attrition and failure rates experienced by community college students, which affects graduation rates and limits the number of individuals who are workforce ready. The population utilized in this qualitative research study consisted of students enrolled in a math course with SI attached in northeast US.

High attrition rates in associate degree nursing (ADN) programs contribute significantly to a nursing shortage in the United States that is expected to worsen. Nursing students find the learning environment stressful, intimidating, and overwhelming, leading to discouragement in the first year of their nursing education. Research is needed to identify specific retention strategies that can offer ADN students additional support and promote academic success. This study aimed to explore first-semester ADN nursing students' experiences with peer mentoring and peer tutoring provided through supplemental instruction (SI). A basic qualitative study was conducted, and participants' descriptions of their experiences participating in SI were documented using semi-structured interviews. The findings indicated that students feel SI is a positive experience, but improvement is needed. Exposure to different perspectives through peer mentoring and tutoring improved students' understanding of course material. Stronger peer relationships created consistency for students. Peer mentoring boosted self-confidence among first-semester students, and attendance at SI sessions increased persistence. The findings support the use of peer mentoring to offer academic assistance to first-semester ADN students.

Researchers have developed numerous effective theory-based practices for teaching undergraduate general education mathematics (UGEM); however, many universities have struggled for decades to close the gap from theory to practice. This gap contributes to the national lack of skilled STEM workers. Recently, an all-online university closed the gap by shifting their philosophical framework for UGEM from traditionalist methodology to a synthesis of seminal theories and practices. This paper disseminates the implementation of theory-based practices in UGEM toward reducing student attrition (withdraw or fail), including: Rationale for theory identification, construction of a philosophical framework, collection of stakeholder input, implementation, evaluation, post-implementation maintenance and communication, and institutional socialization of the new paradigmatic shift. These efforts yielded an attrition reduction from 17.5% to 4.7% in Quantitative Reasoning 1 (QR1) and from 13.9% to 4.0% in QR2. A key reported outcome is a blueprint for an institution to similarly close the gap.

With the current global nursing shortage expected to continue and even deepen, it is essential that nursing programs consider the influencing factors which are affecting student retention and attrition rates. These factors include both intrinsic and extrinsic factors, student supports within the university and community, the level of faculty involvement, and the opportunity for students to complete remediation. As well, universities need to address the constraints such as faculty shortages and the effects of the current pandemic in addressing student attrition rates within nursing programs.

The COVID-19 pandemic impacted education provision worldwide. In Australia, the government took a proactive stance to reduce the impact of the pandemic, temporarily banning higher education students from attending university campuses. With a lockdown in place, educational institutions required a rapid shift in approaches to teaching and learning by both educators and students. Educators throughout Australia were asked to work from home and quickly transition their face-to-face (synchronous) classes into bichronous, fully online offerings. This paper reports on the experiences of 25 educators in an enabling course in a regional Australian university who were required to make this shift. These educators not only had to navigate this complex time personally, but they also had to work in their professional role with the additional responsibility of ensuring a particularly vulnerable cohort of non-traditional students felt a sense of belonging within this new educational space. Results showed that while the educators encountered a number of challenges in their transition, they also found ways to promote student belonging in the new teaching and learning environment. With a Pedagogy of Care being central to the educators' practice, they developed strategies to create a sense of emotional engagement among students to help them feel genuinely cared for. Additionally, they were able to construct a 'we mentality' discourse to establish a sense of shared understanding with students around the situation they were in. This study shows that enabling educators are capable of responding creatively to a complex and unpredictable environment, finding ways to replicate their proven pedagogies of care in unfamiliar contexts and thus foster a crucial sense of belonging among enabling students. The implications of a discussion about 'care' and 'belonging' within the field of enabling education are critical at the intra-pandemic and post-pandemic times, when traditional teaching methodologies are in flux.

We examined three large freshman cohorts from Texas State University, a Hispanic-Serving Institution (HSI), to identify risk factors that might affect academic retention. Risk factors supported by empirical studies such as first-generation, ethnicity, gender, financial aid need, high school performance, and living off campus were examined. We also determined the effectiveness of four academic interventions in achieving retention of students that were on academic probation for two consecutive semesters. Statistical analyses demonstrated that being a first-generation college student and receiving financial aid were significant risks for attrition in all cohorts. Living off-campus and being an URM student were not. Retention in two cohorts was dependent on the combinations of three peer mentoring, two academic coaching, and two to three academic advising sessions. A probation predictive model was developed. Finally, we discussed the importance of examining risk factors and interventions that are tailored to each academic institution.

Background: While previous work in higher education documents the impact of high tuition costs of attending graduate school as a key motivator in attrition decisions, in engineering, most graduate students are fully funded on research fellowships, indicating there are different issues causing individuals to consider departure. There has been little work characterizing nonfinancial costs for students in engineering graduate programs and the impact these costs may have on persistence or attrition. Purpose/Hypothesis: Framed through the lens of cost as a component of the expectancy-value theory framework and the graduate attrition decisions (GrAD) model conceptual framework specific to engineering attrition, the purpose of this article is to characterize the costs engineering graduate students associate with attending graduate school and document how costs affect students' decisions to persist or depart. Design/Method: Data were collected through semistructured interviews with 42 engineering graduate students from R1 engineering doctoral programs across the United States who have considered, are currently considering, or have chosen to depart from their engineering PhD programs with a master's degree. Results: In addition to time and money, which are costs previously captured in research, participants identified costs to life balance, costs to well-being, and identify-informed opportunity costs framed in terms of what "could have been" if they had chosen to not go to graduate school. As these costs relate to persistence, students primarily identified their expended effort and already-incurred costs as the primary motivator for persistence, rather than any expected benefits of a graduate degree. Conclusion: The findings of this work expand the cost component of the GrAD model conceptual framework, providing a deeper understanding of the costs that graduate students relate to their persistence in engineering graduate programs. It evidences that motivation to persist may not be due to particularly strong goals but may result from costs already incurred. Through this research, the scholarly community, students, advisors, and university policymakers can better understand the needs of engineering graduate students as they navigate graduate study.

Within students' attrition studies, it is necessary to assess the longitudinal evolution of students within a given course of study, from enrolment to exit from the university through degree completion and academic dropout. Here, the student's academic progress is monitored through the number of courses failed each semester enrolled. The students' failure rate and academic behavior typically provide significant insight into students' exit outcomes from University programs. These programs usually have a maximum time frame required to complete the course. A likelihood-based approach is discussed that conditions on the exit outcome and random effects in adjusting within-subject correlation of longitudinal measurements. Ignoring the number of courses enrolled by a student may produce inadequate results on the actual failure rates. Conditioned on the exit outcomes of the student, we find out that factors such as financial aid, matriculation points, students' race and course type registered, and gender are distinguishing factors that affect students' academic performances, for completers and dropouts. Also, being in university-type accommodation (that often have added services such as transportation and internet connections) does not seem to significantly affect the failure rate within both groups of students. In addition, an increase in matriculation points significantly reduces the failure rate independent of the Quintile school of the student. Several count models such as mixed Poisson, mixed Zero Inflation Poisson, mixed Negative Binomial, and mixed Hurdle Poisson models are fitted and compared. In particular, the mixed Poisson model provides a better fit based on the Bayesian Information Criterion and residues analysis.

The qualitative case study explored the factors that foster an atmosphere of belonging for men of color (MOC) attending a 2-year Predominantly White Institution. The pressing issue is that PWI colleges make the erroneous assumption that an extension or invitation of welcome is the same as fostering a sense of belonging for men of color (MOC). This led colleges to construct policies and practices that do not intentionally and deliberately create an atmosphere where MOC feel valued, validated, and visible. According to Maestas, Vaquera, and Zehr (2007), fostering a sense of belonging is paramount to the retention and graduation of students of color. The study surfaced three central themes: (a) experiencing an atmosphere of welcome, (b) desire for cultural representation and celebration (c) importance of Diversity, Equity and Inclusion (DEI) training. Though most colleges boast of creating a sense of belonging, the National Center for Education Statistics (2019) reports 25% of men of color graduate from a community college within 150 % or three-years of normal time. Additionally, the Community College Survey of Men (CCSM) reports a lack of validation, engagement, and high attrition rate for men of color attending these institutions (Harris & Wood, 2013). This can be problematic considering the majority of men of color began their academic journey by attending 2-year colleges. Community and 2-year colleges are critical to the educational system and positioned to improve access and equity for students of color, particularly males (Bailey, Jaggars, & Jenkins, 2015).