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Shanshan, Shang; Wenfei, Lyv – Education and Information Technologies, 2022
Online learning has captured much attention, while given for high dropout rate, continuance of MOOCs is now a most concerned critical topic in both research and practical field. From teaching-based quality and platform-based quality perspectives, this study aims to investigate the impact of quality elements on continuance intention based on…
Descriptors: MOOCs, Electronic Learning, Educational Quality, Intention
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Arash Kamali; Seyyed Babak Alavi; Mohammad Reza Arasti – International Journal of Educational Management, 2024
Purpose: Based on self-determination theory (SDT), this study aims to investigate the motivational antecedents of faculty members' continuance intention of using online teaching platforms. For this purpose, we introduced a model incorporating basic psychological needs satisfaction (BPNS) and different motivational mechanisms.…
Descriptors: Psychological Needs, Electronic Learning, Intention, Teacher Motivation
Keng Fong Chau – International Journal of Educational Management, 2024
Purpose: This study aims to provide new insights into the relationship between individual characteristics, particularly personality traits and mature students' intention to use (ITU) mobile learning (m-learning). Design/methodology/approach: The research model was constructed by integrating the Big Five personality traits into the unified theory…
Descriptors: Electronic Learning, Individual Characteristics, Personality Traits, Intention
Yue Li – Education & Training, 2024
Purpose: This paper aims to investigate the effects of four types of cyber entrepreneurship courses on entrepreneurial self-efficacy (ESE) and intention. It is based on Social Cognitive Theory and Regulatory Focus Theory, which takes Chinese college students as the research objects. Design/methodology/approach: Approximately 101 senior business…
Descriptors: Entrepreneurship, Business Education, Electronic Learning, College Students
Venisha Jenifer Dmello; Vadiraj Jagannathrao; Ambigai Rajendran; Shilpa Badrinath Bidi; Tathagata Ghosh; Jaspreet Kaur; Kavitha Haldorai – Cogent Education, 2023
Despite the massive growth and benefits of online learning platforms, engaging and retaining learners showcases a major challenge in the present scenario. There is a dearth of literature on measuring the antecedent factors of learner engagement behavior through mediating effect in the online learning context. Therefore, the current study was…
Descriptors: Electronic Learning, Learner Engagement, Student Behavior, Intention
Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
Ferhan Sahin; Yusuf Levent Sahin; Muhammet Recep Okur – Journal of Computing in Higher Education, 2025
While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…
Descriptors: Electronic Learning, Technology Uses in Education, Technology Integration, Adoption (Ideas)
Lisana Lisana; Edwin Pramana – International Journal on E-Learning, 2025
This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…
Descriptors: Foreign Countries, College Students, Electronic Learning, Higher Education
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Haripin; Sony Warsono – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this study is to examine the acceptance factors of e-learning among students in high schools. In this study, researchers used a combination of system acceptance models, namely UTAUT2 and TOE. The UTAUT2 framework is used to explore technology acceptance from the context of individual behavior, while TOE is used to…
Descriptors: Electronic Learning, High School Students, Learning Management Systems, Educational Technology
Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Daniel Makini Getuno; Ezra Kiprono Maritim; Fred Nyabuti Keraro – International Journal of Education and Development using Information and Communication Technology, 2025
This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…
Descriptors: Foreign Countries, Electronic Learning, Intention, Expectation
Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Looi, Chee Kit; Khor, Ean Teng – British Journal of Educational Technology, 2022
The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in…
Descriptors: Adults, Intention, Behavior Theories, Electronic Learning

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