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Showing 1 to 15 of 45 results Save | Export
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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
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Chi-Jung Sui; Miao-Hsuan Yen; Chun-Yen Chang – Education and Information Technologies, 2024
This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…
Descriptors: Technology Uses in Education, Independent Study, Middle School Students, Grade 8
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Obienu, A. C.; Amadin, F. I. – Education and Information Technologies, 2021
The continuing quest to ensure user acceptance is an ongoing management challenge and one that has occupied information systems researchers to such an extent that technology acceptance research is now considered to be among the more mature areas of exploration. Several models have been developed and validated in different contexts to help explain…
Descriptors: Adoption (Ideas), Educational Innovation, Usability, Models
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Akgül, Yakup; Uymaz, Ali Osman – Education and Information Technologies, 2022
The paper's main aim is to investigate and predict major factors in students' behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to earlier social network research, this one utilized a novel technique that comprised a two-phase…
Descriptors: Social Media, Virtual Classrooms, Higher Education, Technology Uses in Education
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Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
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Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Crook, Charles; Spector, Jonathan Michael – SAGE Open, 2020
Assessment studies using structural equation modeling and Rasch Model have long been prominent in all areas of educational psychology. Their emphases have covered, but have not been limited to, the improvement of quality in teaching, learning, and research as well as the pursuit of research productivity. However, such methodological approaches…
Descriptors: Structural Equation Models, Evaluation Methods, Higher Education, Information Technology
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Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
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Dalvi-Esfahani, Mohammad; Wai Leong, Lam; Ibrahim, Othman; Nilashi, Mehrbakhsh – Journal of Educational Computing Research, 2020
In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…
Descriptors: Student Attitudes, Web 2.0 Technologies, Telecommunications, Handheld Devices
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Cai, Jin; Yang, Harrison Hao; Gong, Di; MacLeod, Jason; Zhu, Sha – Journal of Computing in Higher Education, 2019
The flipped classroom has gained much attention for its pedagogical success in higher education. However, continued use of this technology-supported instructional approach has been problematic. To support the success and continuation of flipped classroom implementation, this study employs structural equation modeling techniques to examine the…
Descriptors: Blended Learning, Self Efficacy, Computer Literacy, Pedagogical Content Knowledge
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Yakubu, M. Nasiru; Dasuki, Salihu Ibrahim – Journal of Information Technology Education: Research, 2018
Aim/Purpose: This study is based on the DeLone and McLean's Information Systems Success (D&M ISS) model, which was modified to determine the success factors responsible for the acceptance of an e-learning system called Canvas by students of a Nigerian University. Background: The adoption of eLearning has been under studied within the context…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Student Attitudes
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Arpaci, Ibrahim – Turkish Online Journal of Distance Education, 2017
This study aims to investigate the role of self-efficacy in predicting students' use of distance education tools and learning management systems (LMSs). A total of 124 undergraduate students who enrolled in a course on Distance Education and selected using convenience sampling willingly participated in the study. The participants had little prior…
Descriptors: Distance Education, Integrated Learning Systems, Self Efficacy, Undergraduate Students
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Sánchez-Mena, Antonio; Martí-Parreño, José; Aldás-Manzano, Joaquín – Electronic Journal of e-Learning, 2017
Educational video games (EVGs) are gaining momentum as a means of increasing students' motivation in their learning process. Nevertheless, teachers might face several barriers that dissuade them from using educational video games in their courses. This study analyses factors affecting teachers' behavioural intention to use educational video games…
Descriptors: Video Games, Educational Technology, Technology Uses in Education, Teaching Methods
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Akman, Ibrahim; Turhan, Cigdem – Innovations in Education and Teaching International, 2017
This study aims to explore the users' behaviour and acceptance of social media for learning in higher educational institutions with the help of the extended Technology Acceptance Model (TAM). TAM has been extended to investigate how ethical and security awareness of users affect the actual usage of social learning applications. For this purpose, a…
Descriptors: Higher Education, Models, Social Media, Structural Equation Models
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