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Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
Mohamad Arief Rafsanjani; Albrian Fiky Prakoso; Eka Indah Nurlaili; Riza Yonisa Kurniawan; Wida Wulandari – Journal on Efficiency and Responsibility in Education and Science, 2023
As a developing country, Indonesia faces many obstacles in implementing online learning due to the lack of infrastructure and technical skills. The mandated online learning policy during the spread of the COVID-19 virus became a turning point and made massive use. However, the online learning policy raised unforeseen issues such as stress,…
Descriptors: COVID-19, Pandemics, Foreign Countries, Developing Nations
Khlaif, Zuheir N.; Sanmugam, Mageswaran; Ayyoub, Abedulkarim – Asia-Pacific Education Researcher, 2023
With rapid development of emerging technologies, teachers have been required to integrate mobile technology into their practices to improve learning outcomes. However, teachers have been reluctant to integrate technology into teaching because of technostress. Many studies have investigated the reasons and consequences of technostress in different…
Descriptors: Intention, Handheld Devices, Technology Integration, Computer Attitudes
Caratiquit, Kevin; Caratiquit, Lovely Jean – Participatory Educational Research, 2022
Adopting technology in this new normal education improved students' engagement and motivation to learn. This paper aimed to investigate the impact of technical support on Technology Acceptance Model to examine Project PAIR (Portable and Accessible Instructional Resources) in the distance learning modality employing Partial Least Squares Structural…
Descriptors: Technical Support, Technology Uses in Education, Computer Attitudes, Educational Technology
Ozyurt, Ozcan; Ayaz, Ahmet – Education and Information Technologies, 2022
Education and Information Technologies (EAIT) has been a leading journal in education & educational research since 1996. To celebrate its 25th anniversary and provide a comprehensive overview of the field, a topic modeling-based bibliometric analysis was conducted on the articles published in this journal. The study is constructed upon two…
Descriptors: Educational Trends, Educational Research, Bibliometrics, Citations (References)
Bambang Yudi Cahyono; Humairah Fauziah; Dian Rahma Santoso; Istiqomah Wulandari – JALT CALL Journal, 2024
The COVID-19 pandemic forced a rapid shift from traditional teaching to online settings. This study explores the technological tools employed by university EFL-speaking teachers during this transition, investigating their continued relevance post-pandemic. With a focus on the experiences of seven university EFL-speaking teachers, this study probes…
Descriptors: Second Language Learning, English (Second Language), Technology Uses in Education, COVID-19
Tomczyk, Lukasz; Jáuregui, Vladimir Costas; de La Higuera Amato, Cibelle Albuquerque; Muñoz, Darwin; Arteaga, Magali; Oyelere, Solomon Sunday; Akyar, Özgür Yasar; Porta, Mariana – Education and Information Technologies, 2021
The aim of the article is to highlight the key elements related to the implementation of new technologies in education from the perspective of the opinions and experiences of educators in the field in Bolivia, Brazil, the Dominican Republic, Ecuador, Finland, Poland, Turkey, and Uruguay. The text compares issues related to attitudes towards the…
Descriptors: Foreign Countries, Teacher Attitudes, Computer Attitudes, Technology Integration
Brown, Abbie; Green, Tim – Educational Media and Technology Yearbook, 2021
Comprised of four sections, Overall Developments, Corporate Training and Development, Higher Education, and K-12 Education, this chapter synthesizes the findings of major annual reports, including the Association for Talent Development's "2019 State of the Industry" (Ho, M. 2019 state of the industry: Talent development benchmarks and…
Descriptors: Educational Trends, Educational Technology, Technology Uses in Education, Instructional Design
Weilage, Christopher; Stumpfegger, Eva – On the Horizon, 2022
Purpose: Most research using extended unified theory of acceptance and use of technology (UTAUT2) and other technology acceptance models (TAM) are quantitative studies. This leaves room for interpretation when they are applied to university lecturers' acceptance of online teaching because the models were originally created for the consumer…
Descriptors: College Faculty, Teacher Attitudes, Computer Attitudes, Technology Uses in Education
Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
Strietholt, Rolf; Fraillon, Julian; Liaw, Yuan-Ling; Meinck, Sabine; Wild, Justin – International Association for the Evaluation of Educational Achievement, 2021
The IEA International Computer and Information Literacy Study (ICILS) Teacher Panel is an international comparative study that investigates changes in the use of information and communication technology (ICT) in schools before and during the global pandemic. The ICILS Teacher Panel marks the first time in 40 years that IEA has conducted a panel…
Descriptors: Educational Change, Electronic Learning, COVID-19, Pandemics
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education
Awofala, Adeneye O. A.; Olabiyi, Oladiran S.; Awofala, Awoyemi A.; Arigbabu, Abayomi A.; Fatade, Alfred O.; Udeani, Uchenna N. – Digital Education Review, 2019
For Nigeria to attain her Vision 20: 2020, the school curricula must change in line with the development in technology. Teachers should be able to adapt technology into the teaching and learning process. Three non-intellectual elements that affect the degree of integration of technology into teaching and learning are attitude toward computer,…
Descriptors: Computer Attitudes, Anxiety, Gender Differences, Correlation
Gómez-Ramirez, Isabel; Valencia-Arias, Alejandro; Duque, Laura – International Review of Research in Open and Distributed Learning, 2019
A growing number of higher education institutions have adopted tools to promote mobile learning. However, studies into the driving factors of its adoption are insufficient. This article identifies the aspects that have an effect on the adoption of mobile learning (m-learning) among university students. The theory of planned behavior (TPB) and…
Descriptors: Undergraduate Students, Foreign Countries, Electronic Learning, Computer Attitudes