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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
Sweety Shah; Neha Mehta; Anitha Sunil – E-Learning and Digital Media, 2025
The use of information technologies has increased significantly in developing countries like India. Many educational institutes have adopted information and communication technology for academic and administration purposes. While technological devices on college campuses are ubiquitous, students' readiness for E-learning in India has yet to be…
Descriptors: Educational Technology, Electronic Learning, Higher Education, Readiness
Bagdi, Himanshu; Bulsara, Hemantkumar P.; Sankar, Deepthi; Sharma, Latika – International Journal of Educational Management, 2023
Purpose: This study aims to identify factors affecting Generation Z (Gen-Z)'s online learning (OL) behavioural intention (BI) using the extended technology acceptance model by investigating gender differences in the BI of Indian students to adopt OL. Design/methodology/approach: The proposed model was tested on 284 students from a higher education…
Descriptors: Age Groups, Electronic Learning, Student Behavior, Gender Differences
Yingqi Tang; Hungwei Tseng; Yu-Chun Kuo; Hsin-Te Yeh; Jianfang Liu – Online Learning, 2025
Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students' intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a…
Descriptors: Success, Electronic Learning, Learning Readiness, Online Courses
Laura Gehreke; Hannes Schilling; Simone Kauffeld – Review of Education, 2024
Peer mentoring is a widely employed strategy in higher education to foster student development and integration. However, the effectiveness of peer mentoring in higher education lacks well-established statements. A systematic review was conducted to assess the efficacy of peer mentoring during the initial phase of academic studies. This review…
Descriptors: Peer Teaching, Mentors, Program Effectiveness, Dropouts
Li Li – SAGE Open, 2024
Grounded in the expectation-confirmation theory and the D&M Information Success Model, this study investigates the factors influencing college students' continuance intention to use mobile learning from three perspectives: educational institutions, instructors, and learners. About 421 college students were randomly selected to participate in a…
Descriptors: Intention, Undergraduate Students, Influences, Electronic Learning
Alghamdi, Abdullah M.; Alsuhaymi, Dhaifallah S.; Alghamdi, Fahad A.; Farhan, Ahmed Mohamed; Shehata, Saleh M.; Sakoury, Mona Mostafa – Education and Information Technologies, 2022
During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students' behavioral intention to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Electronic Learning
Zhang, Zhaoli; Cao, Taihe; Shu, Jiangbo; Liu, Hai – Interactive Learning Environments, 2022
The successful application of the e-learning system is of great significance to the implementation, management and continuous improvement of blended learning in higher education. Hence, we focused on identifying key factors affecting college students' adoption of the e-learning system in mandatory blended learning environments. In this study, the…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Electronic Learning
Izkair, Ayad Shihan; Lakulu, Muhammad Modi – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention…
Descriptors: Electronic Learning, Foreign Countries, Higher Education, Gender Differences
IBIlI, Emin; Ilhanli, Nevruz; ZayIm, Nese; Yardimci, Ahmet – Educational Gerontology, 2023
This study was aimed at determining the factors that affect the intentions of University of the Third Age (UTA) students toward e-learning systems by using Structural Equation Modeling. For this purpose, factors such as Self-Efficacy, Experience, Social Norms, Enjoyment, and Anxiety, suggested as external factors in the General Extended Technology…
Descriptors: Foreign Countries, Electronic Learning, Intention, Influences
Jiang, Haozhe; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael; Chen, Suting – SAGE Open, 2022
The problem motivating this study is the fact that almost 19.70 million university students in China have been required to engage in e-learning under the government's initiative of "Classes are Suspended, yet Learning is still Ongoing" during the COVID-19 epidemic, coupled with varied responses, uneven adoption of e-learning platforms…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, School Closing
Kashive, Neerja; Powale, Leena; Kashive, Kshitij – International Journal of Information and Learning Technology, 2021
Purpose: The purpose of this study is to explore the perception of the users concerning the role of artificial intelligence (AI) in enhancing personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE) and their effect on the perceived ease of use, perceived effectiveness and perceived usefulness for…
Descriptors: Technology Uses in Education, Artificial Intelligence, Student Attitudes, Electronic Learning
Lai, Horng-Ji – Interactive Learning Environments, 2020
Mobile devices, such as smartphones and tablets, have been widely adopted by older adults and have been shown to have a great influence on their daily lives. This study examined the use of mobile computing devices for learning among older adults, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The objectives of this study…
Descriptors: Older Adults, Handheld Devices, Electronic Learning, Technology Uses in Education
Nassr, Rasheed Mohammad; Alkhnbashi, Omer S.; Aldossary, Alia Ahmed; Bamasoud, Doaa M.; Amiruddin, Ungku Nurshakira binti Ungku – Journal of Educators Online, 2023
Lockdowns due to the COVID-19 pandemic have forced universities to migrate entirely to eLearning to deliver classes. Students have found themselves using either synchronous, asynchronous, or mixed mode learning methods based on their universities' preferences. Many studies that investigated difficulties during the lockdown have been mainly…
Descriptors: Foreign Countries, COVID-19, Pandemics, School Closing
Pratama, Ahmad R. – Education and Information Technologies, 2021
As mobile devices become more ubiquitous, the benefits of mobile learning (m-learning) can be a great opportunity for educating a vast populace, especially in developing countries. Acceptance of m-learning by individuals is critical for these nations while aiming for a successful implementation of m-learning. A total of 1156 middle and high school…
Descriptors: Electronic Learning, Handheld Devices, Middle School Students, High School Students