NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, Tianyang – Education and Information Technologies, 2023
Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success…
Descriptors: College Students, Foreign Countries, Online Courses, Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Jiali Zheng; Melissa Duffy; Ge Zhu – Discover Education, 2024
Students in technology majors such as Computer Science and Information Technology need to take a series of computer programming courses to graduate. Yet, not all students will persist in taking programming courses as required, and little is known about the factors influencing their enrollment intentions. Research is needed to better understand…
Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Lixin; Yang, Guang – Asia Pacific Education Review, 2023
Farmer education and learning have traditionally focused on developing practical farming skills and techniques. Meanwhile, studies on farmer learning and education have not adequately considered its social cognitive dimension. Hence, this study empirically examines farmers' perceptions of and interest in distance learning, involving 1284…
Descriptors: Prediction, Disadvantaged, Agricultural Occupations, Intention
Peer reviewed Peer reviewed
Direct linkDirect link
Pan, Yingying; Huang, Yipin; Kim, Hoisoo; Zheng, Xiaoli – Asia-Pacific Education Researcher, 2023
Studying online has currently evolved into a global 'new normal' trend in education. However, students' intention to adopt online interactive behaviors is still relatively low, and few studies have attempted to obtain an in-depth understanding of students' online interactive behaviors. This study aims to explain and predict students' intention to…
Descriptors: Intention, Junior High School Students, Foreign Countries, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Linjia Zhang; Norman B. Mendoza; Yi Jiang – European Journal of Psychology of Education, 2025
Students' perceptions of the classroom environment are critical determinants of their motivation and academic success. However, the psychological mechanisms through which these contextual factors influence academic outcomes remain insufficiently explored, particularly in different subject domains. Grounded in the Situated Expectancy-Value Theory,…
Descriptors: Student Attitudes, Classroom Environment, Predictor Variables, Secondary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
Shuxia Yang; Rui Wang; Bing Mei – Interactive Learning Environments, 2024
Given the paucity of research on mobile-assisted language learning (MALL) in secondary schools in China, this retrospective case study explored the psychological processes underlying the non-voluntary MALL experiences of Chinese secondary school students during a lockdown to contain the spread of COVID-19. Drawing on prior technology acceptance…
Descriptors: Foreign Countries, Student Attitudes, Telecommunications, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Guangxiang Liu; Chaojun Ma – Innovation in Language Learning and Teaching, 2024
Purpose: This study aims to generate empirical insights into the extent to which ChatGPT, a highly capable AI chatbot building on OpenAI's GPT family, is perceived and leveraged by EFL learners beyond the classroom. Design/Methodology: This quantitative cross-sectional investigation draws upon the technology acceptance model (TAM) as developed by…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Man Machine Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Kai Wang; Ching-Sing Chai; Jyh-Chong Liang; Guoyuan Sang – Technology, Pedagogy and Education, 2024
As artificial intelligence (AI) advances rapidly, it has been incorporated into formal education to facilitate subject-based learning. Integration of AI technologies to support learning requires teachers to intentionally design AI-assisted learning. However, there have been a limited number of empirical studies investigating teachers' behavioural…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
Peer reviewed Peer reviewed
Direct linkDirect link
Jiaozhi Liang; Fang Huang; Timothy Teo – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there is a paucity of research on how they perceive AI. Contextualized in a Chinese university setting, this study investigated Chinese university EFL learners' perceptions of Grammarly in English writing. Based on an extended technology acceptance model…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Writing Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Xiao, Zhiwu; Lu, Mengqiu – SAGE Open, 2021
The development and promotion of entrepreneurial behavior is an important ingredient in developing entrepreneurship ventures. This study examined the factors influencing college students' intention to engage in entrepreneurial activities. Applying the Theory of Planned Behavior as the theoretical foundation the structural equation modeling…
Descriptors: Predictor Variables, Graduate Students, Undergraduate Students, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Shang, Lili; Zuo, Meiyun – Educational Gerontology, 2020
Abundant health knowledge resources are available on social media to facilitate technology-enhanced knowledge learning among older adults. The objective of this study is to investigate the predictors and the underlying formation mechanism of older adults' intention to learn health knowledge on social media. We propose a novel model to examine how…
Descriptors: Older Adults, Intention, Health Education, Social Media
Previous Page | Next Page »
Pages: 1  |  2