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Direct linkJingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Veronika Timpe-Laughlin; Tetyana Sydorenko; Judit Dombi – Computer Assisted Language Learning, 2024
To examine the utility of spoken dialog systems (SDSs) for learning and low-stakes assessment, we administered the same role-play task in two different modalities to a group of 47 tertiary-level learners of English. Each participant completed the task in an SDS setting with a fully automated agent and engaged in the same task with a human…
Descriptors: Second Language Learning, In Person Learning, Standard Spoken Usage, Role Playing
Huang, Tzu-Hua; Wang, Lun-Zhu – Computer Assisted Language Learning, 2023
TPR (Total Physical Response) is a methodology for teaching foreign languages. In traditional TPR, teachers need to spend a considerable amount of time confirming the accuracy of students' movements, which results in a low-efficiency teaching process and affects the fairness of student learning. A motion sensing system can assess the accuracy of…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Motion
Foreign Language Acquisition via Artificial Intelligence and Extended Reality: Design and Evaluation
Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas – Computer Assisted Language Learning, 2022
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…
Descriptors: Second Language Learning, Language Acquisition, Artificial Intelligence, Computer Simulation
Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
Schulze, Mathias; Penner, Nikolai – Computer Assisted Language Learning, 2008
The choice of grammatical framework in ICALL--the branch of CALL that applies artificial intelligence techniques--has important implications for both research and development. Matthews (1993) argued for one "that potentially meshes with SLA (second language acquisition)" (p. 5) and sketches three criteria that facilitate the crucial…
Descriptors: Research and Development, Grammar, Artificial Intelligence, Learning Processes
