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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
Buabeng-Andoh, Charles; Yaokumah, Winfred; Tarhini, Ali – Education and Information Technologies, 2019
In the technology acceptance studies, both the theory of reasoned action and the technology acceptance model have been widely adopted to study the factors that influence users' technology usage intentions. While these frameworks have been mostly tested in Western nations, there has been a little effort to apply these frameworks in non-Western…
Descriptors: Undergraduate Students, Intention, Developing Nations, Structural Equation Models
Sumida Garcia, Leandro; Costa Silva, Camila Mariane – Interactive Technology and Smart Education, 2017
Purpose: This research aims to compare the preference of social media sites and institutional communication channels of a higher education institution by confronting elements that form perceived usefulness and user satisfaction with the system. Social media technologies are a part of the routine of the modern society in many diverse ways,…
Descriptors: Social Media, Undergraduate Students, Foreign Countries, Comparative Analysis
Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif – Educational Sciences: Theory and Practice, 2015
Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Knowledge Level
Ichinose, Cherie; Clinkenbeard, Jennifer – Learning Assistance Review, 2016
This study compared student engagement and achievement levels between students enrolled in a traditional college algebra lecture course and students enrolled in a "flipped" course. Results showed that students in the flipped class had consistently higher levels of achievement throughout the course than did students in the traditional…
Descriptors: College Students, College Mathematics, Algebra, Blended Learning
Tlhoaele, Malefyane; Suhre, Cor; Hofman, Adriaan – European Journal of Engineering Education, 2016
Cooperative learning may improve students' motivation, understanding of course concepts, and academic performance. This study therefore enhanced a cooperative, group-project learning technique with technology resources to determine whether doing so improved students' deep learning and performance. A sample of 118 engineering students, randomly…
Descriptors: Technology Uses in Education, Comprehension, Academic Achievement, Cooperative Learning
Teo, Timothy; Lee, Chwee Beng; Chai, Ching Sing; Wong, Su Luan – Computers & Education, 2009
This study assesses the pre-service teachers' self-reported future intentions to use technology in Singapore and Malaysia. A survey was employed to validate items from past research. Using the Technology Acceptance Model (TAM) as a research framework, 495 pre-service teachers from Singapore and Malaysia responded to an 11-item questionnaires…
Descriptors: Structural Equation Models, Computer Uses in Education, Intention, Foreign Countries