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Showing 1 to 15 of 99 results Save | Export
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
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Naimatullah Shah; Safia Bano; Ummi Naiemah Saraih; Nadia A. Abdelmegeed Abdelwahed; Bahadur Ali Soomro – Education & Training, 2024
Purpose: In this study, we aim to investigate entrepreneurial intention (EI) among potential entrepreneurs who were students at Pakistan's higher education institutes (HEIs) of technical and vocational education and training (TVET). Design/methodology/approach: We used a quantitative and correlational method in this study, and we based its…
Descriptors: Foreign Countries, Entrepreneurship, Education Work Relationship, Vocational Education
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Stefanie Findeisen; Alexander Brodsky; Christian Michaelis; Beatrice Schimmelpenningh; Jürgen Seifried – Empirical Research in Vocational Education and Training, 2024
Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout intention and actual dropout in post-secondary education (vocational education and training [VET] or…
Descriptors: At Risk Students, Intention, Dropouts, Predictor Variables
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Wendy M. Reinke; Keith C. Herman; Melissa Stormont; Farshad Ghasemi – School Mental Health, 2025
Teachers are leaving the field at high rates, and it is important to investigate factors that impact teacher attrition including stress and burnout. In a sample of 468 teachers, 78% of teachers had thoughts of leaving or were leaving the field. Teachers were asked about their stress, coping, burnout, and efficacy with classroom management.…
Descriptors: Teacher Persistence, Labor Turnover, Teaching Conditions, Stress Variables
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Lopes, João M.; Laurett, Rozélia; Ferreira, João J.; Silveira, Paulo; Oliveira, José; Farinha, Luís – Industry and Higher Education, 2023
This study analyzes the predictive factors influencing the entrepreneurial intentions of students at higher education institutions (HEIs) in a peripheral European region. The study includes a sample of 594 students and uses structural equation models for data analysis. The results show that the attitude to behavior and perceived behavioral control…
Descriptors: Foreign Countries, College Students, Entrepreneurship, Intention
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Huang, Tianyang – Education and Information Technologies, 2023
Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success…
Descriptors: College Students, Foreign Countries, Online Courses, Learning
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Miron, Jennie; Wilson, Rosemary; Freeman, John; Sears, Kim – International Journal for Educational Integrity, 2022
Work-integrated learning (WIL) is an educational approach that aims to support students' integration of theory to practice. These rich learning opportunities provide students with real-world experiences and introduce practice and ethical situations that help consolidate and bridge their knowledge and skill. Academic integrity has been defined as…
Descriptors: Experiential Learning, Ethics, Integrity, Values
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Ahmed, Waqas – Education and Information Technologies, 2023
Digital competence among business research students is heralded as a pragmatic expression of the quality of research output and effective collaboration. Self-Directed Learning (SDL) is a resourceful personal and professional development technique, yet there is minimal research on SDL for digital competence among business scholars. This study…
Descriptors: Technological Literacy, Business, Research, College Students
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Suratman, Andriyastuti; Roostika, Ratna – Journal of Education and Learning (EduLearn), 2022
This study examined the interaction of alertness, self-efficacy, and intention in entrepreneurial behavior. This research departed from the efforts of educational institutions to produce graduates with entrepreneurial profiles. Data was collected through questionnaires distributed to 530 respondents who had taken sharia entrepreneurship classes at…
Descriptors: Foreign Countries, College Students, Entrepreneurship, Student Behavior
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Pan, Yingying; Huang, Yipin; Kim, Hoisoo; Zheng, Xiaoli – Asia-Pacific Education Researcher, 2023
Studying online has currently evolved into a global 'new normal' trend in education. However, students' intention to adopt online interactive behaviors is still relatively low, and few studies have attempted to obtain an in-depth understanding of students' online interactive behaviors. This study aims to explain and predict students' intention to…
Descriptors: Intention, Junior High School Students, Foreign Countries, Online Courses
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Lu Wang; Kristen D. Gulish; Alisha R. Pollastri – School Mental Health, 2024
In this mixed-methods experiment, we examined the impacts of an externally provided rationale and teachers' own beliefs on cognitive, emotional, and behavioral responses to student misbehavior. Teachers (N = 120) viewed a video describing three instances of a student's misbehavior, then were randomly assigned to receive one of three explanatory…
Descriptors: Teacher Attitudes, Teacher Behavior, Responses, Student Behavior
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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
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Barringer, Alexandra; Papp, Lauren M. – Journal of American College Health, 2022
Objective: To identify academic factors pertaining to college students, calendar timing, and particular moments that are uniquely associated with elevated likelihood of prescription stimulant misuse (intentions and actual behavior) in daily life. Participants: Participants were 297 freshmen and sophomores at a large public university in the United…
Descriptors: College Students, Health Behavior, Risk, Stimulants
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Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
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