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Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability
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Hao Zheng; Feifei Han; Yi Huang; Yonghe Wu; Xinyi Wu – Education and Information Technologies, 2025
Amidst the COVID-19 pandemic, the e-learning demand among in tertiary education sector has surged, which has produced prolific research on factors influencing students' and faculties e-learning adoption. Anchored in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study employed a meta-analytic approach to…
Descriptors: Intention, Electronic Learning, Higher Education, COVID-19
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Caleb Or – International Journal of Technology in Education and Science, 2023
The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine…
Descriptors: Meta Analysis, Technology Uses in Education, Technology Integration, Teaching Methods
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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
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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
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Nguyen, Van Ky Long; Le, Thi My Hanh; Duong, Thi Ngoc Mai; Nguyen, Tien Son; Le, Thi Thu Hien; Nguyen, Thi Thanh Huong – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The purpose of this study is to assess the factors that have significant influences on students' adoption of e-learning systems and to what extent these factors affect them. Background: E-learning has become an essential tool and makes it an inevitable option for education in the future. E-learning has received considerable attention…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
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Lahrash, Husam A. E.; Elmansori, Mansaf M.; Salama, Mostafa – Journal of Educational Technology, 2021
The current paper conducted a critical analysis on the studies that have been carried out in both developing and developed countries regarding the adoption of e-learning technology based on the Unified Theory of Acceptance and Use of Technology (UTAUT2). The findings indicated that the UTAUT2 model is highly influential for all the models such as…
Descriptors: Educational Research, Adoption (Ideas), Technology Integration, Educational Technology