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The purpose of this study was to examine the learning experiences of high school Black males participating in an academy of engineering that was configured as a magnet school. We followed a qualitative case study design to explore the experiences of 16 Black male academies of engineering students. We identified three recurring themes from the interviews with the Black male academy of engineering students: Promoting Interests in STEM, Drawing Connections to Core Academic Concepts, and An Affinity for Hands-on Learning through the Engineering Curriculum. The results of our study helped us to better understand how academies provide a platform for Black male students' interest in engineering as a viable college and career pathway.

This chapter examines the University of Connecticut (UConn) Neag School of Education's efforts to improve the recruitment of students of colour through an Early College Experience (ECE) Programme. During the pandemic, the School of Education and the ECE Programme collaborated to train and certify high school teachers to instruct the UConn's lower level undergraduate courses. The programme exposed many students of colour to teaching as a career.

First-generation college students in the United States are a unique demographic that is often characterized by the institutions that serve them with a risk-laden and deficit-based model. However, our analysis of the transcripts of open-ended, semi-structured interviews with 22 “first-gen” respondents suggests they are actively deft, agentic, self-determining parties to processes of identity construction that are both externally imposed and potentially stigmatizing, as well as exemplars of survivance and determination. We deploy a grounded theory approach to an open-coding process, modeled after the extended case method, while viewing our data through a novel synthesis of the dual theoretical lenses of structural and radical/structural symbolic interactionism and intersectional/standpoint feminist traditions, in order to reveal the complex, unfolding, active strategies students used to make sense of their obstacles, successes, co-created identities, and distinctive institutional encounters. We find that contrary to the dictates of prevailing paradigms, identity-building among first-gens is an incremental and bidirectional process through which students actively perceive and engage existing power structures to persist and even thrive amid incredibly trying, challenging, distressing, and even traumatic circumstances. Our findings suggest that successful institutional interventional strategies designed to serve this functionally unique student population (and particularly those tailored to the COVID-moment) would do well to listen deeply to their voices, consider the secondary consequences of “protectionary” policies as potentially more harmful than helpful, and fundamentally, to reexamine the presumption that such students present just institutional risk and vulnerability, but also present a valuable addition to university environments, due to the unique perspective and broader scale of vision their experiences afford them.

This paper aims to provide a historical overview of AA, its purpose and benefits, the legal rationale for the SCOTUS ruling and what it means for colleges and the workplace regarding equitable opportunities for minority groups (which include women, Blacks, Hispanics, Asians and other low-income populations), as they aim for the “American dream”.

SCOTUS decision and rationale, along with literature.

The race-based affirmative action (AA) precedent was recently overturned by the Supreme Court of the United States (SCOTUS) in the case of Students for Fair Admission (SFFA), Inc. vs President and Fellows of Harvard College/University of North Carolina. SCOTUS ruled that race cannot be a specific basis for college admission. In other words, public and private colleges and universities will no longer be able to consider “race” as a factor in deciding which qualified applicants should be admitted to enhance the diversity of their student body.

This is an original analysis.

Faced with the existential threat of COVID-19, the College of Business Administration (CBA) at Princess Nourah Bint Abdulrahman University (PNU) decided to work toward the dual goals to achieve accreditation and an effective social and educational response to the pandemic. CBA’s quality improvement process was implemented synergistically with Seligman’s (2011) PERMA well-being model, namely positive emotions, engagement, relationship, meaning, and accomplishment/achievement. The case study methodology, which was based on direct observations, faculty and students’ interviews, surveys, feedback, documents, and archival data records, allowed to capture the context and lived reality of all the participants in QAA processes. Results showed that quality improvement was facilitated through three domains: (1) governance and academic leadership, (2) teaching and learning, and (3) digitalization and technology. Within each domain, specific programs, activities, human resources, and networks were enabled through a framework based on the PERMA well-being model. As a result of this hybrid QAA well-being implementation process, CBA achieved NCAAA accreditation for its offered programs, while experiencing high levels of well-being and commitment to teaching and learning by the staff members and students. The description of CBA’s accreditation journey might be insightful for other higher education institutions (HEIs).

This paper aims to extend the scope of previous studies on education-occupation mismatch to explicitly focus on the role high school track choices have on the risk of being mismatched in the labor market.

The paper uses the most exhaustive available database regarding the early-career paths of university graduates in Romania. Using a novel matching technique, entropy balancing (EB), our study relies on multinomial logit models and logit regressions to estimate the effect of the completed high school track on the likelihood of being mismatched in the labor market. The empirical analysis focuses on two types of education-occupation mismatches: horizontal and vertical mismatches.

We show that studying a different field in college compared to the completed high school track increases the risk of being skill mismatched in the first job after graduation. Five years after college graduation, the influence of the high school track fades, while being skill mismatched in the first employment plays a more important role. In contrast, we find no evidence that pursuing a college major unrelated to the completed high school track increases the probability of being overeducated. However, being overeducated in the first job increases the risk of being overeducated five years later.

The study brings new reliable evidence on the extent to which high school track choices may contribute to the risk of being mismatched in the labor market.

Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today’s data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels.

An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students’ demographic and educational/career advancement variables.

Male students rated their data literacy skills higher than females. The 18–19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students.

Given the lack of research on community college students’ data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.