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Mailizar, Mailizar; Burg, Damon; Maulina, Suci – Education and Information Technologies, 2021
This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for…
Descriptors: College Students, Student Behavior, Intention, Electronic Learning
Malanga, Andrea Cristina Micchelucci; Bernardes, Roberto Carlos; Borini, Felipe Mendes; Pereira, Rafael Morais; Rossetto, Dennys Eduardo – British Journal of Educational Technology, 2022
The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, Electronic Learning, Integrated Learning Systems, College Students
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
Duong, Hue Trong – Health Education & Behavior, 2023
Child corporal punishment (CP) is associated with child physical abuse, which is a public health problem in the United States. Informed by the integrative model of behavioral prediction, this study surveyed low-income Black, Hispanic, and White parents who had children younger than 6 years old (N = 260) to identify major risk factors that…
Descriptors: Low Income Groups, Parents, Punishment, Young Children
Zhou, Chi; Wu, Di; Li, Yating; Yang, Harrison Hao; Man, Shuo; Chen, Min – Education and Information Technologies, 2023
The importance and dynamic development of technological pedagogical content knowledge (TPACK) has been well recognized. In order to keep up with the development of the ever-changing society and variety of teaching technologies, teachers need to continue to learn TPACK. Previous studies indicated the importance of student engagement in promoting…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Stimuli, Responses
Junfeng Zhao; Xiang Li; Hong Liao – Education and Information Technologies, 2025
In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…
Descriptors: College Students, English (Second Language), Second Language Learning, Second Language Instruction
Xiaoyi Zou; Pimurai Limpapath – LEARN Journal: Language Education and Acquisition Research Network, 2024
The purpose of this study was to investigate the relationship of factors influencing behavioral intention to participate in hybrid education of undergraduate university students majoring in English in Chengdu Universities, China. Questionnaires were collected with 450 respondents from three public universities in Chengdu with the reliability…
Descriptors: Undergraduate Students, Student Attitudes, Majors (Students), English (Second Language)
El-Ashry, Abdallah; El-Din, Amira Nasser; Khairy, Kariman; Soliman, Peter; Beram, Reham; Nosier, Shereen – Anatolian Journal of Education, 2022
The educational process has been hindered worldwide due to COVID-19 pandemic. Yet, the Egyptian government adopted E-learning to maintain the designed educational agenda. Consequently, recognizing E-learning benefits is imperative to link the E-learning system with its success drivers. Therefore, the aim of this study is detecting the main…
Descriptors: Electronic Learning, Success, Models, Information Systems
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
Agu, Agu Godswill; Kalu, Okwuagwu Okuu; Esi-Ubani, Chidadi Obinna; Agu, Paul Chinedu – International Journal of Sustainability in Higher Education, 2021
Purpose: The purpose of this study is to integrate and extend two models of entrepreneurial intention to investigate the drivers of sustainable entrepreneurial intention among intermediate undergraduate university students in Nigeria. Specifically, this paper aims to introduce education for sustainable entrepreneurship into the integrated model,…
Descriptors: Sustainable Development, Intention, Entrepreneurship, Developing Nations
Masrani, Saiful Ahmad; Mohd Amin, Mohd Rushidi; Sivakumaran, Vinesh Maran; Piaralal, Shishi Kumar – Higher Education, Skills and Work-based Learning, 2023
Purpose: The aim of this study is to explore and establish the relationships between justice dimensions, expectation-confirmation model (ECM) and continuance intention and also to examine the mediating effect of learners' satisfaction and perceived usefulness toward continuance intentions of the university learning management system (LMS) within…
Descriptors: College Students, Learning Management Systems, Open Education, Distance Education
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
Guo, Yuanfang; Li, Xiaowei – Journal of Education for Teaching: International Research and Pedagogy, 2023
Work-family conflict is prevalent in preschool teachers, which has increased the risk of turnover intention. However, the effect of work-family conflict on turnover intention may be different between beginning preschool teachers and experienced preschool teachers. The present study examined the mediating role of organisational commitment in the…
Descriptors: Preschool Teachers, Foreign Countries, Family Work Relationship, Role Conflict
Rahima Kaliky; Hafni Amalia Juniarti; Septi Kusumawati – Research in Social Sciences and Technology, 2023
Agriculture extension staffs are encouraged to attempt more efficient methods to enhance their competency through digital webinars or technical guidance, in Bahasa Bimbingan Teknis (Bimtek) programs. The research aims to explore factors influencing the intention and behavior of agricultural extension staff towards the Technical guidance online…
Descriptors: Intention, COVID-19, Pandemics, Rural Extension

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