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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
Khlaisang, Jintavee; Teo, Timothy; Huang, Fang – Interactive Learning Environments, 2021
This study investigated factors that influenced university students' intentions to use smart applications in flipped learning (FL) in Thailand flipped classrooms (FC) by extending the technology acceptance model (TAM) as the research model. Eight variables including relative advantage (ADV), peer influence (PI), school support (SS), reputation…
Descriptors: Flipped Classroom, Foreign Countries, College Students, Technology Uses in Education
Al-Adwan, Ahmad Samed; Yaseen, Husam; Alsoud, Anas; Abousweilem, Fayrouz; Al-Rahmi, Waleed Mugahed – Education and Information Technologies, 2022
The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…
Descriptors: Integrated Learning Systems, Independent Study, College Students, Student Attitudes
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
Edem Adzovie, Daniel; Jibril, Abdul Bashiru – Cogent Education, 2022
This paper assesses the antecedents (prospects) geared toward the implementation of e-learning strategy in the HLI's of Ghana (a developing country) amidst the COVID-19 pandemic. The study again espouses the enabling factors that influence the e-learning system usage during the COVID-19 pandemic in a less digitalized economy. In doing so, the…
Descriptors: COVID-19, Pandemics, Electronic Learning, Higher Education
Almulla, Mohammed Abdullatif – Cogent Education, 2023
This study looks at whether creativity and critical thinking help students solve problems and improve their grades by mediating the link between 21st century skills (learning motivation, cooperativity, and interaction with peers, engagement with peers, and a smart classroom environment). The mediating relationship between creativity and critical…
Descriptors: Constructivism (Learning), Critical Thinking, Creativity, Problem Solving
Afacan Adanir, Gülgün; Muhametjanova, Gulshat – Education and Information Technologies, 2021
A key factor in the success of a technology is its use by target users. Therefore, the effectiveness of mobile learning depends on student acceptance. In this regard, the purpose of this study is to analyze the factors that influence university students' acceptance of mobile learning. This study is based on Technology Acceptance Model (TAM) and…
Descriptors: College Students, Student Attitudes, Technology Uses in Education, Telecommunications
Moghavvemi, Sedigheh; Salarzadeh Janatabadi, Hashem – British Journal of Educational Technology, 2018
The majority of studies utilised the cross-sectional method to measure students' intention to learn and investigate their corresponding learning behaviours. Only a few studies have measured the process of change in students' learning behaviour in the context of time. The main purpose of this study is to determine the effects of using a Facebook…
Descriptors: Educational Technology, Technology Uses in Education, Social Media, Longitudinal Studies
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
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
Pérez, Andrea; Collado, Jesús; del Mar García de los Salmones, María; Herrero, Ángel; San Martín, Héctor – Journal of the Scholarship of Teaching and Learning, 2019
This paper explores a causal model, using Structural Equation Modelling (SEM), in order to understand how the perceived effectiveness of the 'flipped classroom' and students' satisfaction with this technique can be affected by students' engagement in the 'flipped classroom' activities as well as the complexity and task orientation of such…
Descriptors: Instructional Effectiveness, Business Communication, Causal Models, Student Satisfaction
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
As the use of technology in education advances and broadens, empirical research around its use assumes increased importance. Yet literature investigating technology acceptance in certain populations remains scarce. We recently argued that technology acceptance investigations should also consider the modality of the antecedent belief, to…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Electronic Learning, Student Attitudes
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
Investigations in technology acceptance in education has largely overlooked certain unique populations like students from the "Collège d'enseignement général et professionnel" (CEGEP) system. In studies examining CEGEP students' use of technology, the Technology Acceptance Model (TAM) perspective has not been taken into account, nor have…
Descriptors: Social Networks, Guidelines, Student Attitudes, Role
Jan, Muhammad Tahir – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this paper is to investigate those factors that are associated with the adoption of social networking sites from the perspective of Muslim users residing in Malaysia. Design/methodology/approach: A complete self-administered questionnaire was collected from 223 Muslim users of social networking sites in Malaysia. Both…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Muslims
Raza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences