Publication Date
In 2025 | 3 |
Since 2024 | 8 |
Since 2021 (last 5 years) | 15 |
Since 2016 (last 10 years) | 29 |
Since 2006 (last 20 years) | 36 |
Descriptor
Gender Differences | 36 |
Higher Education | 36 |
Intention | 36 |
Foreign Countries | 22 |
Student Attitudes | 13 |
Predictor Variables | 10 |
Age Differences | 9 |
Student Characteristics | 8 |
College Students | 7 |
Correlation | 7 |
Entrepreneurship | 7 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 28 |
Reports - Research | 28 |
Dissertations/Theses -… | 5 |
Tests/Questionnaires | 3 |
Collected Works - Proceedings | 1 |
Information Analyses | 1 |
Numerical/Quantitative Data | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 34 |
Postsecondary Education | 31 |
Secondary Education | 8 |
High Schools | 6 |
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
High School Longitudinal… | 3 |
Learning Style Inventory | 1 |
Piers Harris Childrens Self… | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment
Sweety Shah; Neha Mehta; Anitha Sunil – E-Learning and Digital Media, 2025
The use of information technologies has increased significantly in developing countries like India. Many educational institutes have adopted information and communication technology for academic and administration purposes. While technological devices on college campuses are ubiquitous, students' readiness for E-learning in India has yet to be…
Descriptors: Educational Technology, Electronic Learning, Higher Education, Readiness
Dayana Amala Jothi Antony; Savarimuthu Arulandu; Satyanarayana Parayitam – Learning Organization, 2024
Purpose: This study aims to investigate the relationship between talent management, organizational commitment and turnover intention. The moderating role of gender and experience in relationships was explored. Design/methodology/approach: A conceptual model was developed, and relationships were studied by collecting data from 392 faculty members…
Descriptors: Foreign Countries, Gender Differences, Experience, Talent Development
Marcela Alessandra de Moraes; Gustavo Hermínio Salati Marcondes de Moraes; Izabela Simon Rampasso; Antonio Carlos Pacagnella Júnior; Diogo de Siqueira Camargo Vasconcelos; Rosley Anholon – Innovations in Education and Teaching International, 2025
The article analysed the differences in the influence of entrepreneurial characteristics on entrepreneurial intention according to gender in technological higher education education in a developing country. The methodology used was quantitative, with multivariate data analysis through structural equation modelling. The sample consisted of 604…
Descriptors: Equal Education, Entrepreneurship, Intention, Gender Differences
Ebenezer D. Narh; Michael Buzzelli – Higher Education Quarterly, 2024
Despite the gendered rebalancing of enrolments in higher education (HE) in the West, the underrepresentation of women in science, technology, engineering and mathematics (STEM) disciplines persists. Gendered selectivity of field of study influences higher education student migration (HESM) and in turn sheds light on HE participation. Framed by…
Descriptors: STEM Education, Higher Education, Disproportionate Representation, Females
Laura Gehreke; Hannes Schilling; Simone Kauffeld – Review of Education, 2024
Peer mentoring is a widely employed strategy in higher education to foster student development and integration. However, the effectiveness of peer mentoring in higher education lacks well-established statements. A systematic review was conducted to assess the efficacy of peer mentoring during the initial phase of academic studies. This review…
Descriptors: Peer Teaching, Mentors, Program Effectiveness, Dropouts
Michelle Denette Roberts-Orr – ProQuest LLC, 2022
Leaders in higher education direct faculty to accomplish goals to meet the needs of the college or university. The purpose of the study was to examine the impact or effects (if any) of job performance and job satisfaction on turnover intention of faculty in higher education. One hundred and twenty-two faculty members consisting of professors,…
Descriptors: Higher Education, Job Satisfaction, Faculty Mobility, Labor Turnover
LaTanya L. Dixon; Suzanne M. Dugger; Hsien-Yuan Hsu – Educational Forum, 2024
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain a student's intent to declare a STEM major in the first semester of college. The results show only student-level factors…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
Salavou, Helen Efstratios; Chalkos, Georgios; Lioukas, Spyros – Education & Training, 2021
Purpose: Embracing the theories of gender role and career socialization, this study focuses on young adults and explores gender differences in entrepreneurial intentions and entrepreneurship education. Design/methodology/approach: Based on 203 young adults, this study employs a logistic regression model to test hypothesis 1 regarding differences…
Descriptors: Correlation, Entrepreneurship, Intention, Gender Differences
Izkair, Ayad Shihan; Lakulu, Muhammad Modi – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention…
Descriptors: Electronic Learning, Foreign Countries, Higher Education, Gender Differences
Li, Zheng; Islam, A. Y. M. Atiquil – SAGE Open, 2021
This study explores how entrepreneurship education and government policies influence the entrepreneurial intention of students receiving higher vocational education. It employs an empirically-based model that tests the effects of perceived entrepreneurial education and perceived entrepreneurial policy on entrepreneurial self-efficacy and…
Descriptors: Entrepreneurship, Intention, Higher Education, Vocational Education
Paray, Zahoor Ahmad; Kumar, Sumit – Journal of International Education in Business, 2020
Purpose: Considering entrepreneurship education (EE) theory as a base, this paper aims to examine the impact of EE upon building entrepreneurial intentions. In addition, it investigates the impact of student's age, gender and degree or course background in developing students entrepreneurial intentions. Design/methodology/approach: A sample of 309…
Descriptors: Entrepreneurship, Gender Differences, Age Differences, Student Characteristics
Joseph R. Cimpian; Jo R. King – Grantee Submission, 2024
Men significantly outnumber women in physics, engineering, and computer science (PECS) majors, with a recent male-to-female ratio of approximately 4:1, a stark contrast to the near parity in other science, technology, engineering, and mathematics (STEM) disciplines (1). This gender disparity in PECS carries wide-reaching implications for equity,…
Descriptors: Gender Differences, Physics, Engineering Education, Computer Science Education
Lakhal, Sawsen; Khechine, Hager; Mukamurera, Joséphine – International Journal of Educational Technology in Higher Education, 2021
The aim of this study was to verify if the UTAUT model, enriched with anxiety and factors relating to students characteristics and to the specificities of online courses, influences persistence in online courses. A theoretical model encompassing 13 variables was tested. Three moderating variables (gender, age and prior online course experience)…
Descriptors: Academic Persistence, Online Courses, Higher Education, College Students
Singh, Lenandlar; Thomas, Troy D. – Asian Journal of Distance Education, 2020
Mobile user typology is absent from popular models for mobile learning adoption though understanding such typology can help with design of learning. This paper explores the salient mobile user typology by applying latent class analysis to reported use of mobile phone features collected from students at six university campuses in four countries…
Descriptors: Telecommunications, Educational Technology, Technology Uses in Education, Foreign Countries