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Issa W. AlHmoud; Samin Poudel; Sulochana Deshmukh; Caroline S. Booth; Greg Monty; Marwan Bikdash – Discover Education, 2024
Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…
Descriptors: STEM Education, Models, Educational Attainment, Predictor Variables
Rocío Montero Barra; Patricia Garrido-Vásquez; Kathleen Otto; Mauricio E. Garrido Vásquez – International Journal for Educational and Vocational Guidance, 2025
This article examines the relationship between uncertainty against Industry 4.0 and job insecurity. Additionally, it explores the moderating role of perceived employability, considering the age and education level of employees. We carried out a study on a sample of 224 Chilean workers. Correlational statistical analysis and a multiple regression…
Descriptors: Job Security, Employment Potential, Age, Educational Attainment
Nuria Legazpe; María A. Davia; Cecilia Albert – European Journal of Education, 2025
This paper explores the role of geographical mobility in reducing overeducation risks in recent university graduates in Spain based on a sample from the Survey of Labour Insertion of University Graduates 2019 (EILU-2019). We distinguish between different moments for mobility and whether it took place across regions within Spain or overseas. We…
Descriptors: Migration, College Graduates, Foreign Countries, Educational Attainment
Sang Yoon Lee; Nicolas A. Roys; Ananth Seshadri – National Bureau of Economic Research, 2024
We present a model of endogenous schooling and earnings to isolate the causal effect of parents' education on children's education and earnings outcomes. The model suggests that parents' education is positively related to children's earnings, but its relationship with children's education is ambiguous. Identification is achieved by comparing the…
Descriptors: Parent Background, Educational Attainment, Correlation, Income
Mariyam Abbas; Mahvish Fatima – Psychology in the Schools, 2025
Effective communication is vital in both social and professional contexts, yet the nuanced relationship between nonverbal communication (NVC) and affectivity, particularly in relation to demographic factors, has not been fully understood. The lack of clarity in how these elements interact poses a challenge in developing tailored communication…
Descriptors: Nonverbal Communication, Affective Behavior, Demography, Gender Differences
Francis M. Dillon; Edward L. Glaeser; William R. Kerr – National Bureau of Economic Research, 2025
We measure the level and growth of education segregation in American workplaces from 2000 to 2020. American workplaces show an educational segregation, measured by the degree to which the establishment has mostly workers of similar education levels, that is comparable to racial residential segregation in a typical metro area. Workplace isolation…
Descriptors: Educational Attainment, Professional Isolation, Age Differences, Gender Differences
J. Cohen; J. Causey; B. Randolph; M. Holsapple; D. Shapiro – National Student Clearinghouse, 2025
Today, nearly 43.1 million people are stopped out of college without a credential. Of these, 37.6 million are working age adults under age 65. As states look to increase the skills of their labor forces and institutions confront changing demographic realities, re-engaging with these "Some College, No Credential" (SCNC) individuals has…
Descriptors: Educational Attainment, College Students, Stopouts, Credentials
Joshua Angrist; Peter Hull; Russell Legate-Yang; Parag A. Pathak; Christopher R. Walters – National Bureau of Economic Research, 2025
School districts increasingly gauge school quality with surveys that ask about school climate and student engagement. We use data from New York City's middle and high schools to compare the long-run predictive validity of surveys with that of conventional test score value-added models (VAMs). Our analysis leverages the New York school match, which…
Descriptors: School Surveys, Middle Schools, High Schools, Prediction
Xiaofei Chu; Qian Zhang; Wenlong Li – Education and Urban Society, 2025
This study examines panel data from 31 provincial capitals in China from 2008 to 2022, focusing on the important relationship between compulsory education levels and urban economic resilience. Our findings reveal a concerning trend: disparities in education levels are widening, while urban economic resilience is exhibiting a pattern of…
Descriptors: Foreign Countries, Compulsory Education, Urban Areas, Economic Climate
Omar Soud Al-Khamaiseh – Journal of Education and e-Learning Research, 2025
This study aimed to identify the nature of multiple intelligences among educational counselors in Jordanian schools by examining the predictive differences in multiple intelligences among educational counselors, as well as their relationships and impacts based on demographic variables, gender, and academic qualifications. The researcher developed…
Descriptors: Foreign Countries, Multiple Intelligences, School Counselors, Gender Differences
Alexa G. Palilla – Journal of Education and Learning, 2025
Women have worked tirelessly to shatter the glass ceiling to acquire leadership positions, in which many have aspired to attain terminal degrees in leadership, therefore, transferring their leadership skills beyond the classroom walls. The purpose of this narrative study was to investigate the experiences of women who have successfully earned…
Descriptors: Females, Educational Attainment, Doctoral Degrees, Leadership
Kirsty Wilding; Megan Wright; Sophie von Stumm – Educational Psychology Review, 2024
Recent advances in genomics make it possible to predict individual differences in education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength of these DNA-based predictions for educational attainment (e.g., years spent in full-time education) and…
Descriptors: Genetics, Heredity, Educational Attainment, Predictor Variables
Katikar Tipayalai; Chayaton Subchavaroj – Education Economics, 2024
Using a novel subnational-level dataset of Thailand, the results show a strong spatial association between poverty and educational attainment in Thailand. Provinces with more educated populations are more likely to have lower poverty incidence. In particular, the findings of this study suggest that attainment of tertiary education can…
Descriptors: Foreign Countries, Educational Attainment, Poverty, Incidence
Kristin Stowe; Lisa A. Schwartz – Research in Higher Education Journal, 2025
This research examines the economic impact of colleges and universities in North Carolina's counties, emphasizing areas classified as Tier 1 and Tier 2 by the North Carolina Department of Commerce. Utilizing data from the Integrated Postsecondary Education Data System (IPEDS), IMPLAN, and county-level sources, this study reveals that counties…
Descriptors: Higher Education, Economic Development, Economic Impact, Counties
Maciej Albinowski; Iga Magda; Agata Rozszczypala – Education Economics, 2025
We investigate the contribution of the disability education gap to the disability employment gap in the European Union. We find that educational attainment is a major factor determining the probability of employment among persons with disabilities and that the employment effects of tertiary education are much larger among persons with disabilities…
Descriptors: Disabilities, Educational Attainment, Employment, Education Work Relationship

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