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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
Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis – Technology, Knowledge and Learning, 2023
Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…
Descriptors: Higher Education, Intention, Predictor Variables, Blended Learning
Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Soni, Alisha; Bakhru, Kanupriya Misra – International Journal of Learning and Change, 2023
Social entrepreneurship is a planned behaviour and rapidly gaining its importance in society. This complex process can be understood by studying intention which is the single best predictor of subsequent behaviour. It helps in understanding the reasons behind the actions undertaken and the manner in which potential entrepreneurs decide and act to…
Descriptors: Entrepreneurship, Behavior Theories, Intention, Predictor Variables
Silva-Lugo, Jose L.; Warner, Laura A.; Galindo, Sebastian – Journal of Agricultural Education and Extension, 2022
Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…
Descriptors: Agricultural Education, Nonparametric Statistics, Educational Research, Models
Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
Majka, Elizabeth A.; Bennett, Kyle F.; Sawyer, Thomas P.; Johnson, Jon L.; Guenther, Merrilee F. – Journal of College Science Teaching, 2023
Course-based undergraduate research experiences (CUREs) represent an economical and practical way for institutions to equitably offer research experiences to large numbers of students. Although the benefits of CUREs are well documented, most CURE models are not guided by theory and are discipline specific, which limits their application. We used a…
Descriptors: Undergraduate Students, Student Research, Student Experience, Interdisciplinary Approach
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
Fallah, Nasser; Kiany, Gholam Reza; Tajeddin, Zia – MEXTESOL Journal, 2022
Within the last two decades, research on entrepreneurship has received increasing attention throughout the world. However, most of the research in this area has been done in business and vocational fields and more research is needed in educational and non-business contexts. This study took the initiative to explore the connections among…
Descriptors: Models, Entrepreneurship, Intention, Foreign Countries
Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis; Mat Raffei, Anis Farihan; A_L Eh Phon, Danakorn Nincarean; Abdullah, Aziman; Leong Ming, Gan; A. Shukor, Nurbiha; Shukri Nordin, Mohd; Baba, Suria – International Journal of Information and Learning Technology, 2020
Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned…
Descriptors: Blended Learning, Predictor Variables, College Students, Student Attitudes
Asadi, Zoleixa; Abdekhoda, Mohammadhiwa; Nadrian, Haidar – Interactive Technology and Smart Education, 2019
Purpose: Applying cloud computing (CC) in education is a great opportunity to globalize knowledge with the minimum costs and maximum accessibility. This study aims to understand and predict teacher intention to use cloud commuting as infrastructure in Smart education. Design/methodology/approach: This was a cross-sectional study in which faculty…
Descriptors: Technology Uses in Education, Information Storage, Intention, Prediction
Bhochhibhoya, Amir; Branscum, Paul – Journal of Alcohol and Drug Education, 2018
The purpose of the systematic review was to identify the effectiveness of the Theory of Planned Behavior (TPB), and its most recent iteration, the Integrated Behavioral Model (IBM), for predicting and understanding alcohol related behaviors, with an aim towards informing future public health and health promotion interventions. Eleven articles were…
Descriptors: Drinking, Alcohol Abuse, Public Health, Health Promotion
Dou, Remy; Cian, Heidi – Journal of Research in Science Teaching, 2022
Identity development frameworks provide insight into why and to what extent individuals engage in STEM-related activities. While studies of "STEM identity" often build off previously validated disciplinary and/or science identity frameworks, quantitative analyses of constructs that specifically measure STEM identity and its antecedents…
Descriptors: STEM Education, Self Concept, Sex, Ethnicity