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Showing 1 to 15 of 80 results Save | Export
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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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Liangyong Xue; Abdullah Mat Rashid; Sha Ouyang – SAGE Open, 2024
This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys…
Descriptors: Research Reports, Technology Uses in Education, Structural Equation Models, Foreign Countries
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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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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
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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
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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
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Lee, Jang Ho; Lee, Hansol – Language Awareness, 2023
As digital technology is becoming an increasingly critical component of education, learners' socioeconomic status (SES) and technology use are becoming more important in their learning. In the context of English learning, the present study modeled how learners' SES and their perception of technology use for language learning are linked to their…
Descriptors: Socioeconomic Status, English (Second Language), Second Language Learning, Second Language Instruction
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Kumar, Jeya Amantha; Bervell, Brandford – Education and Information Technologies, 2019
The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students' initial perceptions of Google Classroom as a mobile learning platform. By including six non-linear relationships within the modified model, the study examined the nuances in interaction terms between Habit…
Descriptors: Technology Uses in Education, Electronic Learning, Higher Education, Student Attitudes
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Martins, Alex Sandro Rodrigues; Quintana, Alexandre Costa; de Gomes, Débora Gomes – Education and Information Technologies, 2020
The aims of the current study are to identify the behavioral factors enabling students' acceptance and use of a podcast aggregator that provides tips about contents taught in the classroom, as well as to investigate its impact on knowledge formation among Accounting Sciences undergraduate students from a Federal University in Southern Brazil,…
Descriptors: Student Attitudes, Teaching Methods, Audio Equipment, Accounting
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Abdul Rabu, Siti Nazleen; Hussin, Haniza; Bervell, Brandford – Education and Information Technologies, 2019
The integration of Quick Response (QR) codes in classrooms have been identified as an important tool in promoting active as well as distributed learning, especially in higher education. Even though the versatility of this technology within the educational milieu cannot be over-emphasized, the initial perceptions of students who are at the centre…
Descriptors: Coding, Technology Uses in Education, Higher Education, Technology Integration
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Lin, Xiao-Fan; Tang, Dandan; Shen, Weipeng; Liang, Zhong-Mei; Tang, Yaner; Tsai, Chin-Chung – International Journal of Science Education, 2020
This study examines the correlations between perceived technology-assisted teacher support; student hardiness (i.e. individual commitment, challenge, and control); and technology-embedded scientific inquiry (TESI) using a mediational model approach. Data were gathered from the series of questionnaires administered to 1566 Chinese students with an…
Descriptors: Foreign Countries, Technology Uses in Education, Scientific Research, Student Characteristics
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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
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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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Baydas, Ozlem; Yilmaz, Rabia M. – British Journal of Educational Technology, 2018
This study proposes a model for determining preservice teachers' intentions to adopt mobile learning from a motivational perspective. Data were collected from 276 preservice teachers and analyzed by structural equation modeling. A model capable of explaining 87% of the variance in preservice teachers' intention to adopt mobile learning was…
Descriptors: Preservice Teachers, Student Attitudes, Intention, Telecommunications
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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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