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Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled – Interactive Learning Environments, 2023
This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation…
Descriptors: COVID-19, Pandemics, Fear, Educational Technology
Joseph Chapes – ProQuest LLC, 2022
Learning management systems (LMS) are one of the most used educational technologies in higher education. It has been argued that LMSs have not reached their full potential since most are used for distributing materials, not for improving interaction and communications in classes. To better understand what influences LMS tool use, this study used…
Descriptors: Learning Management Systems, Educational Technology, Teacher Attitudes, Universities
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Peijian Paul Sun – Language Teaching Research, 2025
To sustain students' continuous learning in a COVID-19 pandemic context, schools and universities have shifted traditional classroom teaching to synchronous online teaching. However, there is limited understanding of acceptance and adoption of synchronous online teaching by university teachers of English as a foreign language (EFL). This study,…
Descriptors: Language Teachers, Teacher Attitudes, Attitude Change, English (Second Language)
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Rudhumbu, Norman – International Review of Research in Open and Distributed Learning, 2021
Technology-mediated distance education (TDE) has become part of the new normal in the range of teaching strategies used in universities in Zimbabwe. Contemporary literature abounds with studies that highlight challenges associated with access to education in universities, yet very little is highlighted about how TDE can be used to enhance access…
Descriptors: Graduate Students, Undergraduate Students, Intention, Persistence
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Zhengdong Gan; Christopher Fulton; Siying Li – Computer Assisted Language Learning, 2024
This article presents the development and validation of the Pre-Service EFL Teachers' Motivational Beliefs about Instructional Use of Technology scale (PTMB-EFL) using a randomly split sample. Confirmatory factor analysis supported a 23-item six-factor structure of the PTMB-EFL generated from exploratory factor analysis. Significant correlations…
Descriptors: Preservice Teachers, English (Second Language), Language Teachers, Teacher Motivation
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Park, Sung Youl – Educational Technology & Society, 2009
Many universities implement e-learning for various reasons. It is obvious that the number of e-learning opportunities provided by higher educational institutes continues to grow in Korea. Yet little research has been done to verify the process of how university students adopt and use e-learning. A sample of 628 university students took part in the…
Descriptors: Electronic Learning, Structural Equation Models, Self Efficacy, Intention
US Department of Education, 2011
This report represents the deliberations of the Pacific Regional Advisory Committee (RAC), one of 10 RACs established under the Educational Technical Assistance Act of 2002 to assess the educational needs of the region. The committee's report outlines educational needs across the state, districts, and territories of Hawai'i, the Commonwealth of…
Descriptors: Educational Needs, Needs Assessment, Technical Assistance, Regional Characteristics