Publication Date
In 2025 | 18 |
Since 2024 | 47 |
Since 2021 (last 5 years) | 82 |
Since 2016 (last 10 years) | 114 |
Since 2006 (last 20 years) | 119 |
Descriptor
Intention | 119 |
Student Behavior | 119 |
Technology Uses in Education | 119 |
Foreign Countries | 89 |
Student Attitudes | 80 |
Educational Technology | 64 |
College Students | 63 |
Usability | 42 |
Social Influences | 33 |
Artificial Intelligence | 27 |
Electronic Learning | 24 |
More ▼ |
Source
Author
Dalvi-Esfahani, Mohammad | 2 |
Huang, Fang | 2 |
Ibrahim, Othman | 2 |
Khechine, Hager | 2 |
Nilashi, Mehrbakhsh | 2 |
Teo, Timothy | 2 |
Yan Li | 2 |
Yu, Zhonggen | 2 |
Yu-Yin Wang | 2 |
Zhou, Mingming | 2 |
A. Devisakti | 1 |
More ▼ |
Publication Type
Reports - Research | 110 |
Journal Articles | 109 |
Tests/Questionnaires | 18 |
Dissertations/Theses -… | 7 |
Information Analyses | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 102 |
Postsecondary Education | 95 |
Secondary Education | 6 |
High Schools | 5 |
Elementary Education | 3 |
Elementary Secondary Education | 2 |
Adult Education | 1 |
Grade 12 | 1 |
Grade 7 | 1 |
Grade 9 | 1 |
Junior High Schools | 1 |
More ▼ |
Audience
Location
China | 20 |
Malaysia | 9 |
India | 6 |
Indonesia | 5 |
Taiwan | 4 |
Turkey | 4 |
Bangladesh | 3 |
Hong Kong | 3 |
Nigeria | 3 |
United Arab Emirates | 3 |
Alabama | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Anass Bayaga – Education and Information Technologies, 2025
This study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Educational Innovation
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
Irum Alvi – Education and Information Technologies, 2024
Virtual Reality (VR) technology has become a powerful tool for Second Language (L2) learning, but few studies have explored the factors influencing learners' experiences and intentions, particularly in developing countries like India. The purpose of the study is to reveal both the reception of VR technology for L2 learning in India and the factors…
Descriptors: Computer Simulation, Second Language Learning, Foreign Countries, Developing Nations
Yusuf Kalinkara; Oguzhan Özdemir – Anatomical Sciences Education, 2024
The impact of technology on educational domains has been a subject of research for many years. Therefore, understanding how students perceive and utilize technologies for educational purposes is crucial. Especially in a critical subject like anatomy education, it is essential to employ various models to determine students' technology acceptance…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, College Students
Mbonisi Maku; Ernest Nikisi; Omobayo Ayokunle Esan; Munienge Mbodila; Patrick Bwowe – International Journal of Education and Development using Information and Communication Technology, 2025
The rapid growth in information communication technology (ICT) usage has brought remarkable changes in higher education. Many higher education institutions around the globe are adopting e-learning platforms as one of the primary ways of delivering teaching and learning among students. During the COVID-19 pandemic, South African higher education…
Descriptors: Foreign Countries, Electronic Learning, Disadvantaged Schools, Universities
Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
Songkram, Noawanit; Chootongchai, Suparoek; Osuwan, Hathaiphat; Chuppunnarat, Yootthana; Songkram, Nutthakorn – Education and Information Technologies, 2023
The purpose of this research was to investigate students' behavioral intentions toward a digital learning platform. In the framework of Thai education, an empirical study evaluated and applied the adoption model. The recommended research model was tested using structural equation modeling with a sample of 1406 students from every part of Thailand.…
Descriptors: Student Behavior, Intention, Educational Technology, Technology Uses in Education
Xuefeng Zhang; Yelin Huang; Mingshuang Chen; Fenglian Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Online teaching platforms (OTPs) are becoming important mediums for supporting college students in course learning activities. Their intention to use is critical for promoting learning effectiveness, efficiency, and continuous development of OTPs. Drawing upon the technology acceptance model (TAM), this study builds the research model of students'…
Descriptors: College Students, Student Behavior, Intention, Usability
Priya Saha; Md. Shakhawat Hossain; Nirmal Chandra Roy; Abdullah Al Masud; Ruhul Amin – On the Horizon, 2025
Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Behavior
Monica L. Bellon-Harn; Lekeitha R. Morris – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: The study aimed to determine whether an online asynchronous program can positively influence undergraduate communication sciences and disorders students' attitudes, beliefs, and actions toward advancing social justice. Method: The study employed a mixed-method design. Participants included 18 undergraduate students from two state…
Descriptors: Undergraduate Students, Communications, Communication Disorders, Student Attitudes
Al-Emran, Mostafa; Al-Nuaimi, Maryam N.; Arpaci, Ibrahim; Al-Sharafi, Mohammed A.; Anthony, Bokolo – Education and Information Technologies, 2023
The emergence of wearable technologies, including smartwatches, has received a considerable attention from scholars across several sectors. However, there is a scarcity of knowledge regarding the determinants affecting the adoption of these wearables in education. Therefore, this research aims to propose a theoretical research model through the…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Intention
Ravi Sankar Pasupuleti; Deepthi Thiyyagura – Education and Information Technologies, 2024
The aim of this research is to discover the continuance and recommendation intention of higher education students who are using ChatGPT. Specifically, we proposed an extend technology continuance theory (TCT) by integrating the recommendation intention. A structured Google form is used to collect the data from the higher education students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
Ruby S. Chanda; Vanishree Pabalkar; Sarika Sharma – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to understand and analyze the aspects influencing students' attitudes and behavior toward the use of metaverse in education. The metaverse is currently viewed as technology with immense prospects. However, the practice of the metaverse for educational motives is rarely deliberated. Design/methodology/approach: To assess…
Descriptors: Undergraduate Students, Graduate Students, Artificial Intelligence, Computer Simulation
Anjee Gorkhali; Asim Shrestha – International Journal of Information and Learning Technology, 2025
Purpose: Educators are raising ethical concerns over the use of ChatGPT in schools. They have implemented various strategies to minimize its use, particularly by labeling ChatGPT-produced work as plagiarism. However, the use of ChatGPT among students is still on the rise. Our study aims to find the behavioral motivation behind students' increased…
Descriptors: Self Concept, Prevention, Student Behavior, Artificial Intelligence
B. Herawan Hayadi; Taqwa Hariguna – Contemporary Educational Technology, 2025
This study explores the factors influencing student engagement and behavioral intention towards mobile learning platforms, with a focus on widely used platforms in Indonesia, such as Ruangguru, Zenius, and Quipper. A total of 375 questionnaires were distributed, out of which 363 were deemed valid and used for analysis. The research employed…
Descriptors: Student Behavior, Intention, Telecommunications, Handheld Devices