NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory1
What Works Clearinghouse Rating
Showing 1 to 15 of 73 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
Peer reviewed Peer reviewed
Direct linkDirect link
Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Al-Rahmi, Ali Mugahed; Al-Rahmi, Waleed Mugahed; Alturki, Uthman; Aldraiweesh, Ahmed; Almutairy, Sultan; Al-Adwan, Ahmad Samed – Education and Information Technologies, 2022
Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…
Descriptors: Electronic Learning, Computer Oriented Programs, College Students, Intention
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Kampa, Raj Kishor – Asian Association of Open Universities Journal, 2023
Purpose: The study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance. Design/methodology/approach: A structured questionnaire was administered to open and distance learning…
Descriptors: Foreign Countries, Electronic Learning, Readiness, Open Education
Peer reviewed Peer reviewed
Direct linkDirect link
Zhao, Yang; Wang, Ning; Li, Yixuan; Zhou, Ruoxin; Li, Shuangshuang – British Journal of Educational Technology, 2021
The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…
Descriptors: Cultural Differences, Electronic Learning, Student Attitudes, Computer Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Irum Alvi; Hager Khechine – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning, which emphasises cooperative group techniques, intersects with the evolving role of social media as a tool. Understanding how cultural values influence these dynamics is crucial for effectively integrating and utilising social media into collaborative learning environments. Objective: This research aims to…
Descriptors: Foreign Countries, College Students, Student Attitudes, Engineering Education
Peer reviewed Peer reviewed
Direct linkDirect link
Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mohamad Arief Rafsanjani; Albrian Fiky Prakoso; Eka Indah Nurlaili; Riza Yonisa Kurniawan; Wida Wulandari – Journal on Efficiency and Responsibility in Education and Science, 2023
As a developing country, Indonesia faces many obstacles in implementing online learning due to the lack of infrastructure and technical skills. The mandated online learning policy during the spread of the COVID-19 virus became a turning point and made massive use. However, the online learning policy raised unforeseen issues such as stress,…
Descriptors: COVID-19, Pandemics, Foreign Countries, Developing Nations
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5