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Taneja, Mohit; Kiran, Ravi; Bose, S. C. – Studies in Higher Education, 2024
This work investigates the impact of entrepreneurial experiential learning (EL) on students' entrepreneurial intention (EI), through the lens of entrepreneurial self-efficacy (ESE). To provide a comprehensive viewpoint, the direct impact of entrepreneurial attitude (EA) on entrepreneurial intention has also been looked at. This study, has adopted…
Descriptors: Entrepreneurship, Intention, Experiential Learning, Self Efficacy
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Megan E. Douglas; Heidemarie Blumenthal; Charles A. Guarnaccia – Journal of American College Health, 2024
Objective: The transition to college is marked by poorer eating behaviors, making emerging adulthood a particularly salient intervention point for improving lifelong health. The present study aims to better understand what psychosocial factors predict eating behaviors of college students using the Theory of Planned Behavior (TPB). Participants…
Descriptors: College Students, Eating Habits, Predictor Variables, Food
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Hermann Kurthen; Anna Hammersmith – Frontiers: The Interdisciplinary Journal of Study Abroad, 2024
Although more students study abroad today than in decades prior, participation still lags behind national goals put forth by the Lincoln Commission. Many students plan to study abroad, yet this often does not correspond with actual participation. This gap suggests there are barriers that prevent study abroad intentions from evolving into program…
Descriptors: Study Abroad, Barriers, Intention, Student Participation
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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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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
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Amy M. Kemp; Gabriella Norton; Madison Neese; Yalian Pei; Katy H. O'Brien – Journal of American College Health, 2025
Objective: This mixed method study examined how psychosocial factors from the Theory of Planned Behavior and Reasoned Action (TPB/RA) influence health-seeking behaviors after concussion, expanding from student-athlete TPB/RA research to assess the influence of psychosocial factors within a general college population. Participants: Two hundred and…
Descriptors: Health Behavior, Head Injuries, Brain, Student Athletes
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Moon-Heum Cho; Eunjung Grace Oh; Yunjeong Chang; Seokwon Hwang – Distance Education, 2025
The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…
Descriptors: MOOCs, Goal Orientation, Technology Uses in Education, Intention
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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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Clara Mumme; Laura M. Leipert; Regina Vollmeyer – Discover Education, 2025
This study investigates the predictive influences of expectancies and values that may sustain students' dropout intentions in physics as well as gender differences in students' motivation and intention. Eccles's expectancy-value model was used to frame the study. The academic self-concept (expectancy component) and value components focusing on…
Descriptors: Foreign Countries, Expectation, Values, Dropout Attitudes
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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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Ahmet Murat Uzun; Erhan Üna; Selcan Kilis – Educational Process: International Journal, 2024
Background/purpose: Widespread adoption of e-learning was triggered worldwide during the COVID-19 pandemic and modern higher education institutions dedicated significant resources to the use of diverse e-learning systems. However, to maximize the benefits of these investments, it is crucial that the degree to which end-users accept and continue…
Descriptors: Electronic Learning, COVID-19, Pandemics, Learning Management Systems
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Jiali Zheng; Melissa Duffy; Ge Zhu – Discover Education, 2024
Students in technology majors such as Computer Science and Information Technology need to take a series of computer programming courses to graduate. Yet, not all students will persist in taking programming courses as required, and little is known about the factors influencing their enrollment intentions. Research is needed to better understand…
Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment
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Jovanka, Della Raymena; Habibi, Akhmad; Mailizar, Mailizar; Yaqin, Lalu Nurul; Kusmawan, Udan; Yaakob, Mohd Faiz Mohd; Tanu Wijaya, Tommy – Cogent Education, 2023
The Internet has been massively utilized for educational purposes during the last ten years with many platforms, including e-Learning Services (e-LS). This survey study aimed to report factors affecting the intention to use e-LS in the Indonesian Open University (OU) context. The original technology acceptance model (TAM) was extended, involving…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Attitudes
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Unal, Erhan; Uzun, Ahmet Murat – British Journal of Educational Technology, 2021
Educational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students' behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered…
Descriptors: College Students, Intention, Social Media, Technology Integration
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