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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
Min Guo – SAGE Open, 2024
In the context of the digital era, e-learning has become an innovative and indispensable component of the educational sector. With the continuous advancement of technology and the widespread adoption of the internet, e-learning has demonstrated its key role in maintaining educational continuity and supporting remote teaching. However, despite the…
Descriptors: Electronic Learning, Intention, Educational Technology, College Students
Akhmad Habibi; Mailizar Mailizar; Lalu Nurul Yaqin; Turki Mesfer Alqahtani; Mukhlash Abrar; Budianto Hamuddin; Failasofah Failasofah – Journal of Technology and Science Education, 2024
This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived…
Descriptors: Foreign Countries, College Students, English (Second Language), Language Skills
Bhati, Narender Singh; Srivastava, Sachin; Rathore, Jaivardhan Singh – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the…
Descriptors: Doctoral Students, Intention, Online Courses, Educational Technology
Muhammad Ittefaq; Ali Zain; Rauf Arif; Taufiq Ahmad; Laeeq Khan; Hyunjin Seo – Journal of International Students, 2025
GenAI has revolutionized higher education across the globe. One group that is particularly impacted is international students. We examined the factors influencing international students' intentions to use GenAI. We recruited participants studying in the U.S. through an online survey. Our results suggest that attitudes toward GenAI use, PEU, PU,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Students, Student Attitudes
Sayginer, Can – Turkish Online Journal of Distance Education, 2023
Learning was obliged to be transformed to distance learning due to the long-lasting COVID-19 lockdown period. This situation has brought to investigate the critical factors influencing students' intention and actual use of distance learning tools. In this context, this study aims to evaluate the effects of distance learning, deriving independent…
Descriptors: College Students, Student Attitudes, Intention, Distance Education
Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
Shen Yan; Liow Guat Eng; Lim Chui Seong – SAGE Open, 2024
Learning motivation is essential to online learning success. This study recognizes two aspects of learners' motivation for E-learning and proposed technology acceptance model as cognitive process and stimulus-organism-response as affective process to explain the undergraduates' continuous intention to use E-learning system based on…
Descriptors: Influences, Intention, Electronic Learning, Educational Technology
Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
Khlaisang, Jintavee; Songkram, Noawanit; Huang, Fang; Teo, Timothy – Interactive Learning Environments, 2023
The current study examines antecedents to teachers' behavioral intentions to use smart technologies in Thailand based on the technology acceptance model. 825 primary school teachers participated in a survey consisting of 11 constructs: perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, peer influence,…
Descriptors: Foreign Countries, Teacher Attitudes, Telecommunications, Handheld Devices
Roslan, Rosfuzah; Mohd Ayub, Ahmad Fauzi; Ghazali, Norliza; Zulkifli, Nurul Nadwa; Md Latip, Siti Noor Haslina; Abu Hanifah, Siti Syuhada – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The main purpose of this study is to identify the factors affecting the continuance use intention of gamified m-learning applications by Higher Education Institution (HEI) learners in Malaysia. Background: Mobile learning (m-learning) has been a popular choice among learners in HEIs due to its convenient 'on-the-go' concept. On the…
Descriptors: Intention, College Students, Gamification, Educational Technology
Nguyen, Van Ky Long; Le, Thi My Hanh; Duong, Thi Ngoc Mai; Nguyen, Tien Son; Le, Thi Thu Hien; Nguyen, Thi Thanh Huong – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The purpose of this study is to assess the factors that have significant influences on students' adoption of e-learning systems and to what extent these factors affect them. Background: E-learning has become an essential tool and makes it an inevitable option for education in the future. E-learning has received considerable attention…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
Turan, Zeynep; Kucuk, Sevda; Karabey, Sinem Cilligol – Participatory Educational Research, 2022
This study aimed to investigate the pre-service teachers' behavioural intentions about using gamification tools and the critical factors affecting their usage. The data were collected from 313 pre-service teachers from two large-scale universities in Turkey through a questionnaire with seven constructs: perceived ease of use, usefulness,…
Descriptors: Preservice Teachers, Intention, Educational Games, Student Attitudes
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