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Mavis S. B. Mensah; Keren N. A. Arthur; Enoch Mensah-Williams – E-Learning and Digital Media, 2024
This study examines the factors that influence the intention and actual use of e-learning in entrepreneurship education by undergraduate students. The paper relies on a predictive study design and the partial least squares structural equation modelling to analyse data from a cluster sample of 599 students from the University of Cape Coast, Ghana.…
Descriptors: Entrepreneurship, Undergraduate Students, Electronic Learning, Foreign Countries
Zhaokun Meng; Rui Li – Journal of Computing in Higher Education, 2024
While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including…
Descriptors: Informal Education, Teacher Attitudes, Communities of Practice, Computer Mediated Communication
Kai Wang; Zhenying Ye; Zhenyu Li; Shihua Li; Xue Yuan – SAGE Open, 2025
As online teaching continues to be widely recognized and valued in global K-12 education, understanding the factors influencing teachers' continuance intention is crucial, particularly in light of rising technostress. This study applied an extended COACTIV model to investigate how personal competencies and school environmental factors predict…
Descriptors: Electronic Learning, Intention, Prediction, Pedagogical Content Knowledge
Al-Azawei, Ahmed; Abdullah, Alharith A.; Mohammed, Mahmood K.; Abod, Zaid A. – International Review of Research in Open and Distributed Learning, 2023
Although online learning has become ubiquitous worldwide, earlier research has neglected the relationship between its actual use and security concerns. Learners' lack of security awareness while using learning technologies remains rarely studied. This paper integrates Delone and McLean's information system success (D&M-ISS) model with the…
Descriptors: Foreign Countries, Online Courses, Electronic Learning, Success
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
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
Pena Correa, Ernesto – ProQuest LLC, 2018
Knowledgebase and information management systems have existed for many years within academics and professional organizations. These technologies have greater importance within academic's programs due to the need and responsibility of creating and transferring knowledge and reliable information to their communities. In today's global, digital, and…
Descriptors: Information Systems, Information Management, Knowledge Management, Electronic Learning
Sanchez-Franco, Manuel J. – Computers & Education, 2010
Perceived affective quality is an attractive area of research in Information System. Specifically, understanding the intrinsic and extrinsic individual factors and interaction effects that influence Information and Communications Technology (ICT) acceptance and adoption--in higher education--continues to be a focal interest in learning research.…
Descriptors: Structural Equation Models, Intention, Interaction, Higher Education
Lee, Ming-Chi – Computers & Education, 2010
Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation-confirmation model (ECM), the…
Descriptors: Electronic Learning, Expectation, Continuing Education, Intention
Sorebo, Oystein; Halvari, Hallgier; Gulli, Vebjorn Flaata; Kristiansen, Roar – Computers & Education, 2009
Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers' utilization of e-learning technology in connection with on-site courses. In the proposed model teachers' extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic…
Descriptors: Psychological Needs, Student Motivation, Information Systems, Intention

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