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Sun, Peijian Paul; Mei, Bing – Computer Assisted Language Learning, 2022
This study focuses on preservice Chinese-as-a-second/foreign-language (L2 Chinese) teachers with a theoretical perspective based on prior technology acceptance research in the educational context, to investigate factors influencing preservice L2 Chinese teachers' intention to use educational technology in their future classrooms. Six relevant…
Descriptors: Chinese, Second Language Instruction, Preservice Teachers, Language Teachers
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
Rafiee, Marzieh; Abbasian-Naghneh, Salman – Computer Assisted Language Learning, 2021
In recent decades, the rapid advances in technology have led many researchers to investigate the factors influencing its successful implementation in different fields. The current study, hence, aimed to identify the factors affecting e-learning acceptance and readiness in the context of foreign language learning. By reviewing the related…
Descriptors: Electronic Learning, Models, Technology Integration, Readiness
Jin, Li – Computer Assisted Language Learning, 2018
Different from the traditional term language input, affordance, an ecological term, has been deployed to analyze the perceived opportunities for second language (L2) learning an environment provides to L2 learners. L2 learning occurs only when the semiotic resources in the environment resonate with the learner's capacities such as their abilities,…
Descriptors: Chinese, Second Language Learning, Educational Environment, Linguistic Input
van Doremalen, Joost; Boves, Lou; Colpaert, Jozef; Cucchiarini, Catia; Strik, Helmer – Computer Assisted Language Learning, 2016
The purpose of this research was to evaluate a prototype of an automatic speech recognition (ASR)-based language learning system that provides feedback on different aspects of speaking performance (pronunciation, morphology and syntax) to students of Dutch as a second language. We carried out usability reviews, expert reviews and user tests to…
Descriptors: Case Studies, Speech, Indo European Languages, Second Language Learning

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