NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Fang Huang; Timothy Teo; Xueyu Zhao – Computer Assisted Language Learning, 2025
While teachers' technology adoption has received increasing attention in the digital age, little effort has been made to examine ethnic minority English teachers' technology use. This study aims to unpack Chinese ethnic minority English teachers' technology adoption and examine factors that influence their intentions to use technology by employing…
Descriptors: Foreign Countries, Minority Group Teachers, Ethnic Groups, Language Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Mandana Rohollahzadeh Ebadi – Computer Assisted Language Learning, 2025
Drawing on Mayer's Cognitive Theory of Multimedia Learning, the present study aims to examine the effectiveness of technology-mediated teaching vocabulary in the form of multimedia glosses on EFL learners' depth and breadth of lexical knowledge. The study was conducted with 91 male and female undergraduate students at a lower-intermediate level of…
Descriptors: Vocabulary Development, Undergraduate Students, Females, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Xin An; Ching Sing Chai; Yushun Li; Ying Zhou; Bingyu Yang – Computer Assisted Language Learning, 2025
To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…
Descriptors: Educational Trends, Trend Analysis, Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence