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Quantifying the Impact of ASR-Based Instruction: What Does the "iSpraak" Platform Learner Data Show?
Dan Nickolai – The EUROCALL Review, 2024
Computer-assisted Pronunciation Training (CAPT) tools have become increasingly dependent on Automatic Speech Recognition (ASR) technology to provide automated corrective pronunciation feedback to learners. The extent to which ASR-based tools measurably improve second language (L2) pronunciation is of great interest to language educators globally,…
Descriptors: Computer Assisted Instruction, Pronunciation, Technology Uses in Education, Second Language Learning
Oh, Eun Young; Song, Donggil – Educational Technology Research and Development, 2021
This developmental research aims to (1) examine the design and developmental process, (2) investigate the nature and structure of the application, and (3) analyze the results of expert reviews and usability tests. Twenty-five participants, including a developer, an instructional designer, Korean language educators, educational technology…
Descriptors: Computational Linguistics, Identification, Audio Equipment, Man Machine Systems
Caruso, Marinella; Fraschini, Nicola; Kuuse, Sabine – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Feedback is one of the most important influences on second language learning. While much research has been undertaken in the field of corrective feedback, the study of student engagement with feedback in languages remains understudied. This article addresses the need for more interactive, effective and time-saving feedback, achieving more student…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Higher Education