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Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
Snider, Lana G. – ProQuest LLC, 2022
The study of sense of belonging in college among community college students has been limited in the literature. This cross-sectional quantitative study sought to address that gap by identifying factors that influenced community college students' sense of belonging in college at eight Ohio community colleges through an electronic questionnaire…
Descriptors: Community College Students, Group Membership, Prediction, Self Concept
Gwyn Elizabeth Fox Stump – ProQuest LLC, 2022
This quantitative study was conducted to examine if student organization involvement predicted campus belonging in students at the University of Dayton. Using the 2018 and 2021 Multi-Institutional Study of Leadership instruments, all University of Dayton undergraduate students were invited to participate in the study. The COVID-19 pandemic…
Descriptors: Sense of Community, Student Organizations, Group Membership, Student Leadership
Verheyen, Steven; Égré, Paul – Cognitive Science, 2018
This paper concerns an investigation of the manner in which typicality constrains graded membership in antonymous dimensional adjectives such as "short/tall" and "cheap/expensive" using the conceptual spaces framework. In this framework, items are organized in a space comprised of one or more dimensions along which they can be…
Descriptors: Models, Comparative Analysis, Prediction, Group Membership
McCready, Adam M. – Journal of Student Affairs Research and Practice, 2020
Relying on data collected from a college social fraternity (n = 2,678) represented at 76 institutions, the study utilized hierarchical linear modeling to explore if collective fraternity chapter traditional masculine norm climates predict significant portions of the variance of members' endorsement of social dominance hazing. The findings indicate…
Descriptors: Social Behavior, Masculinity, College Students, Fraternities
Ellis, Wendy; Zarbatany, Lynne; Chen, Xinyin; Kinal, Megan; Boyko, Lisa – Child Development, 2018
Peer group interactional style was examined as a moderator of the relation between peer group school misconduct and group members' school misconduct. Participants were 705 students (M[subscript age] = 11.59 years, SD = 1.37) in 148 peer groups. Children reported on their school misconduct in fall and spring. In the winter, group members were…
Descriptors: Behavior Problems, Task Analysis, Group Membership, Hierarchical Linear Modeling
Barbosa-Ducharne, Maria; Marinho, Sylvie – Research on Social Work Practice, 2019
Purpose: The main goals were to determine the incidence of preadoption breakdown in Portugal, describe preadoptive parents' reasons for ending placement, compare intact/disrupted placements, and identify adoption disruption risk and protective factors. Method: A matched design involving a case file analysis of 71 disrupted and 71 intact…
Descriptors: Adoption, Risk, Placement, Child Behavior
Binmoeller, Cecile – ProQuest LLC, 2018
Cross-national studies consistently reveal that bullying is a pervasive problem in schools and associated with a multitude of deleterious outcomes. The present dissertation conducted two studies to further provide insight into this complex phenomenon and facilitate the development of effective bullying prevention programs. Youth involved in…
Descriptors: Bullying, Educational Environment, Prevention, Program Development
Bui, Ngot P. – ProQuest LLC, 2016
The emergence of social networks and social media has resulted in exponential increase in the amount of data that link diverse types of richly structured digital objects e.g., individuals, articles, images, videos, music, etc. Such data are naturally represented as heterogeneous networks with multiple types of objects e.g., actors, video,…
Descriptors: Social Media, Social Networks, Data Analysis, Network Analysis
Fosnacht, Kevin; McCormick, Alexander C.; Lerma, Rosemarie – Research in Higher Education, 2018
Students' time expenditures influence their learning and development. This study used latent profile analysis to identify a taxonomy of how first-year students spend their time using a large multi-institution sample. We identified four time usage patterns by first-year students titled Balanced, Involved, Partiers, and Parents. Sex, expected major…
Descriptors: College Freshmen, Time Management, Taxonomy, Gender Differences
Baron, Andrew Scott; Dunham, Yarrow – Journal of Cognition and Development, 2015
Three experiments explored whether group membership affects the acquisition of richer information about social groups. Employing a minimal-groups paradigm, 6- to 8-year-olds were randomly assigned to 1 of 2 novel social groups. Experiment 1 demonstrated that immediately following random assignment to a novel group, children were more likely to…
Descriptors: Group Membership, Young Children, Antisocial Behavior, Prosocial Behavior
Gagnon, Émilie; Ratelle, Catherine; Chateauvert, Genevieve Boisclair; Duchesne, Stephane; Guay, Frederic – AERA Online Paper Repository, 2019
In this study, parents' contribution to their child's vocational exploration was examined from a self-determination perspective through need supportive behaviors. We aimed to identify and describe trajectories of vocational exploration from mid-adolescence to early adulthood. Results from latent class analyses revealed that vocational exploration…
Descriptors: Parent Child Relationship, Career Choice, Career Exploration, Self Determination
Thompson, Amy S.; Lee, Junkyu – Language Learning Journal, 2018
This study uses Ryan's Motivational Factors Questionnaire (MFQ) as a data collection tool to explore the motivational factors which distinguish groups of Korean university language learners based on English proficiency and degree of multilingualism. The data were analysed using Exploratory Factor Analysis (EFA), multivariate analysis of variance…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
Pollack, Brittany; DuPaul, George J.; Weysandt, Lisa L.; Anastopoulos, Arthur D. – Journal of Postsecondary Education and Disability, 2018
Young adults with attention-deficit/hyperactivity disorder (ADHD) symptoms are more likely than their peers to engage in risk-taking behaviors, including harmful alcohol use, consumption of illicit drugs, and risky sexual behaviors. These behaviors become more common in the general population of young adults as they enter college, particularly for…
Descriptors: Group Membership, Risk, Health Behavior, Attention Deficit Hyperactivity Disorder
Phillips, Brian N.; Leahy, Michael J. – Rehabilitation Counseling Bulletin, 2012
Declining membership is a concerning yet poorly understood issue affecting professional associations across disciplines (Bauman, 2008). Rehabilitation counseling association membership is in decline even while number of certified rehabilitation counselors continues to increase (Leahy, 2009). Factors influencing rehabilitation counseling…
Descriptors: Professional Associations, Rehabilitation Counseling, Counselor Certification, Counselors