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Showing 1 to 15 of 22 results Save | Export
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Samuel Attuquayefio; David Aboagye-Darko; Amanda Quist Okronipa – Education and Information Technologies, 2024
Digital technologies can lead to the provision of innovative opportunities for academic entrepreneurship. However, investigations on the rationale for the adoption of digital technologies for academic entrepreneurship, particularly in emerging economies, remain limited. As a result, the determinants of digital technology adoption for academic…
Descriptors: Entrepreneurship, Social Media, Technology Uses in Education, Learning Activities
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Weixin Qi; Yawen Yu; Jie Liu; Jinfa Liu – Education and Information Technologies, 2025
In the wake of the COVID-19 pandemic, the demand for online learning has surged, driving rapid developments in online education. This technological advancement aligns with the global push to achieve the United Nations Sustainable Development Agenda for 2030. Despite extensive research on online learning efficacy, there is a gap in understanding…
Descriptors: College Students, COVID-19, Pandemics, In Person Learning
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Duggal, Sanya – Asian Association of Open Universities Journal, 2022
Purpose: This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited…
Descriptors: Electronic Learning, Foreign Countries, Student Attitudes, Adult Students
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Cao, Guangming; Shaya, Nessrin; Enyinda, Chris I.; Abukhait, Rawan; Naboush, Eman – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study, drawing on and extending research on the adoption of information technologies (IT), develops a research model to investigate: (1) the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms; and (2) students' relative attitudes and relative intentions to use e-learning systems.…
Descriptors: Student Attitudes, Intention, Electronic Learning, COVID-19
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Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Lu, Mengqiu; Xiao, Zhi-Wu – SAGE Open, 2022
This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316…
Descriptors: Electronic Learning, Intention, College Students, COVID-19
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Rekha, I S; Shetty, Jyothi; Basri, Savitha – Education and Information Technologies, 2023
In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even though the number of online platforms and programs has grown during the COVID-19 pandemic, there is still a high rate of dropout and non-completion. In this work, the expectation-confirmation model is…
Descriptors: Undergraduate Students, Graduate Students, Intention, MOOCs
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Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
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Punjani, Krunal K.; Mahadevan, Kala – Education and Information Technologies, 2022
The COVID-19 pandemic has disrupted existing educational systems worldwide. Due to lockdowns in several countries, the educational institutions have been directed by governments to move towards online learning. The challenge for educational institutions and faculty members is to assess the influence of various factors that would enable adoption of…
Descriptors: Educational Change, Electronic Learning, Higher Education, COVID-19
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Harmandaoglu Baz, Esra; Cephe, Pasa Tevfik – Education and Information Technologies, 2022
This study aims to test a model investigating the contribution of computer self-efficacy, computer anxiety, constructivist teaching beliefs, and computer attitude to predicting English student teachers' behavioral intention to use information and communication technologies (ICT) in their future classes. The sample of the study consists of 861…
Descriptors: Foreign Countries, Self Efficacy, Computer Literacy, Anxiety
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Tang, Thuy Thi; Nguyen, Thuy Nga; Tran, Huong Thi Thu – Contemporary Educational Technology, 2022
The purpose of this study is to examine factors that influence teachers' intentions to use technology in assessments using the technology acceptance model (TAM) as a framework. An online survey was utilized to collect data, and 360 teachers participated in the survey. This study used partial least squares-structural equation modelling (PLS-SEM) to…
Descriptors: Foreign Countries, Teacher Attitudes, Computer Attitudes, Technology Integration
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Turan, Zeynep; Cetintas, H. Buluthan – Open Learning, 2020
The purpose of this study was to examine the undergraduate students' adoption of video lessons. The data were collected from 313 undergraduate students from Education, Health Sciences, and Letters Faculties within a large university in Turkey using a questionnaire with six constructs: ease of use, usefulness, enjoyment, intention, computer…
Descriptors: Undergraduate Students, Adoption (Ideas), Video Technology, Blended Learning
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Al-Adwan, Ahmad Samed – Education and Information Technologies, 2020
Massive Open Online Courses (MOOCs) are emerging as the new trend for modern higher education institutions. Student acceptance is viewed as the key determinant for the success of MOOCs. This study intends to examine factors influencing higher education students' behavioral intention to adopt MOOCs. Thus, this study proposes the use of a modified…
Descriptors: Online Courses, Open Education, Higher Education, Barriers
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Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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Thongsri, Nattaporn; Shen, Liang; Bao, Yukun – Innovations in Education and Teaching International, 2020
Recognizing the underlying relationship between e-learning practice and the institutional environments hosted in, the Chinese educational practice on branching high school students into science, technology, engineering, and mathematics (STEM) and non-STEM academic major groups before being admitted into universities or colleges is examined. By…
Descriptors: Majors (Students), Self Efficacy, Computer Literacy, Intention
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Bin, Enlin; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael; Wang, FaLiang – British Journal of Educational Technology, 2020
The problem motivating this research is the rapid introduction of educational technologies and the strong push to use new technologies in technical and vocational training in China coupled with varied responses and uneven adoption of new tools on the part of practitioners. This study investigated the factors that influence technical and vocational…
Descriptors: Foreign Countries, Vocational Education, College Faculty, Educational Technology
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