Publication Date
In 2025 | 25 |
Since 2024 | 76 |
Since 2021 (last 5 years) | 240 |
Since 2016 (last 10 years) | 394 |
Since 2006 (last 20 years) | 487 |
Descriptor
Educational Technology | 489 |
Foreign Countries | 489 |
Intention | 489 |
Technology Uses in Education | 273 |
Student Attitudes | 260 |
College Students | 181 |
Usability | 150 |
Technology Integration | 134 |
Electronic Learning | 123 |
Teacher Attitudes | 116 |
Self Efficacy | 96 |
More ▼ |
Source
Author
Teo, Timothy | 19 |
Huang, Fang | 6 |
Fokides, Emmanuel | 4 |
Habibi, Akhmad | 4 |
Chen, Mu-Yen | 3 |
Islam, A. Y. M. Atiquil | 3 |
Milutinovic, Verica | 3 |
Nikolopoulou, Kleopatra | 3 |
Wong, Kung-Teck | 3 |
Yaakob, Mohd Faiz Mohd | 3 |
Yu, Zhonggen | 3 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 2 |
Practitioners | 1 |
Researchers | 1 |
Location
China | 67 |
Turkey | 40 |
Taiwan | 37 |
Malaysia | 36 |
India | 26 |
Nigeria | 23 |
Saudi Arabia | 23 |
Indonesia | 21 |
Spain | 15 |
South Africa | 11 |
Greece | 10 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 2 |
Group Embedded Figures Test | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Chien-Liang Lin; Jun-Yan Liu; Chi-Heng Li; Yu-Sheng Su; Juan Zhou – International Review of Research in Open and Distributed Learning, 2025
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
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
Ching Sing Chai; Siya Liang; Xingwei Wang – Education and Information Technologies, 2024
As the world is increasingly infused with artificial intelligence (AI), school teachers are beginning to acquire AI literacy and to integrate AI-related content into their teaching practices. However, research on teachers' AI competencies is still in its early stage, leaving many gaps yet to be explored. This study engaged 364 Chinese practicing…
Descriptors: Foreign Countries, Artificial Intelligence, Teacher Effectiveness, Educational Technology
Godawa Pathiranage Suresh Nalaka; Damith Lahiru Ranagala; Gamage Rajitha Niromi Gunarathne; Matibambiye Dhammasiri; Imbule Gamaralalage Nirosha Prabashini – Anatolian Journal of Education, 2023
Many higher educational institutes adopted digital tools to facilitate teaching and learning activities online due to COVID-19 pandemic. Among them, university academics had to rely on Zoom Meetings for teaching even if Zoom is generally used as a virtual communication tool. In order to identify future developments in implementing online education…
Descriptors: Foreign Countries, Videoconferencing, Educational Technology, Social Influences
Biao Gao; Jun Yan; Ronghui Zhong – IEEE Transactions on Learning Technologies, 2025
Digital teachers represent an innovative fusion of media and artificial intelligence (AI) within online educational environments. However, the specific ways in which the appearance anthropomorphism of digital teachers influences the delivery of different knowledge types remain insufficiently understood. Drawing on Embodied Learning Theory and…
Descriptors: Online Courses, Educational Technology, Computer Simulation, Student Satisfaction
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
Long Kim; Rungrawee Jitpakdee; Wasin Praditsilp; Sook Fern Yeo – Education and Information Technologies, 2025
Smart classrooms which are facilitated by advanced technology have become a digital learning platform for all university students. Despite their significance in higher education, the number of students adopting the current technology has remained significantly low; thus, universities have to find new solutions to convince their students to quickly…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Yuliya Frolova – Canadian Journal of Learning and Technology, 2025
This study explores the influence of emotional intelligence and privacy orientation on attitudes and intentions to learn with mobile technologies. Data were collected from 272 respondents in Kazakhstan, a country with a transitioning economy. The findings reveal that both emotional intelligence and privacy orientation positively affect attitudes…
Descriptors: Foreign Countries, Emotional Intelligence, Privacy, Intention
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
Saida Ulfa; Ence Surahman; Izzul Fatawi; Hirashima Tsukasa – Electronic Journal of e-Learning, 2024
The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…
Descriptors: MOOCs, Intention, Automation, Feedback (Response)
Sonia Chawla; Gyan Prakash; Gursimranjit Singh; Japneet Kaur – Education and Information Technologies, 2024
Blockchain technology usage in education sector has a capacity to change the way academic records, diplomas, and credentials are maintained, communicated, and verified. Thus, this study aims at understanding the role of blockchain in the higher education sector. Mixed method approach was used in the study for a deeper understanding of the concept.…
Descriptors: Information Technology, Educational Technology, Information Management, Adoption (Ideas)
Acceptance of Smart Teaching Tools and Its Influencing Factors Among University and College Teachers
Xiangping Cui; Zihao Zhang; Susan Zhang; Jun Shen; Wei Han; Hanqi Zhang – IEEE Transactions on Education, 2024
College teachers' acceptance of smart teaching tools affects whether they can make effective use of such tools while teaching, with the goal of materializing deep integration of technology and teaching activities. This article constructs a hypothetical model of college teachers' technology acceptance path for smart teaching tools based on the…
Descriptors: Educational Technology, Influences, College Faculty, Teacher Attitudes
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
Rongbin Yang; Santoso Wibowo; Sameera Mubarak; Mubarak Rahamathulla – Journal of Marketing for Higher Education, 2024
Studies have been conducted on university students' acceptance of e-learning systems during COVID-19. However, less attention has been paid to students' use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students' various quality perceptions on attitude, learning…
Descriptors: Student Attitudes, Learner Engagement, Electronic Learning, Educational Technology