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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
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
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
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
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
Peijian Paul Sun – Language Teaching Research, 2025
To sustain students' continuous learning in a COVID-19 pandemic context, schools and universities have shifted traditional classroom teaching to synchronous online teaching. However, there is limited understanding of acceptance and adoption of synchronous online teaching by university teachers of English as a foreign language (EFL). This study,…
Descriptors: Language Teachers, Teacher Attitudes, Attitude Change, English (Second Language)
Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
Zhou, Sijing; Zhou, Yu; Zhu, Huiling – SAGE Open, 2021
A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online…
Descriptors: Predictor Variables, Undergraduate Students, Intention, Adoption (Ideas)
Wang, Qi; Zhang, Ning; Ma, Wulin – SAGE Open, 2023
This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
Teo, Timothy; Huang, Fang; Hoi, Cathy Ka Weng – Interactive Learning Environments, 2018
Given the paradox between pervasive promotion of technology use in English teaching and lack of studies about teachers' technology acceptance in China, this study aims to examine intentions of English teachers in China to use technology in their classroom teaching. Based on the technology acceptance model, eight variables including perceived…
Descriptors: Foreign Countries, Technology Uses in Education, Intention, English (Second Language)
Wang, Lin; Rau, Pei-Luen Patrick; Salvendy, Gavriel – Educational Gerontology, 2011
This study investigated variables contributing to older adults' information technology acceptance through a survey, which was used to find factors explaining and predicting older adults' information technology acceptance behaviors. Four factors, including needs satisfaction, perceived usability, support availability, and public acceptance, were…
Descriptors: Information Technology, Factor Analysis, Older Adults, Predictor Variables