Title
Evaluating automatic speech recognition-based language learning systems : a case study Evaluating automatic speech recognition-based language learning systems : a case study
Author
Faculty/Department
Faculty of Social Sciences. Instructional and Educational Sciences
Publication type
article
Publication
Exeter ,
Subject
Educational sciences
Linguistics
Source (journal)
Computer assisted language learning. - Exeter
Volume/pages
29(2016) :4 , p. 833-851
ISSN
0958-8221
ISI
000375567200011
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
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 gain insight into the potential of this prototype and the possible ways in which it could be further adapted or improved, with a view to developing specific language learning products. The evaluation revealed that domain experts and users (teachers and students) are generally positive about the system and intend to use it if they get the opportunity. In addition, recommendations have been made which range from specific changes and additions to the system to more general statements about the pedagogical and technological issues involved. These recommendations can be useful to improve this prototype and to develop other ASR-based systems, which can be deployed either as language courseware or as research tools to investigate design hypotheses and language acquisition processes.
E-info
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https://repository.uantwerpen.be/docman/iruaauth/27190f/133669.pdf
Handle