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ERIC Number: EJ1331340
Record Type: Journal
Publication Date: 2021
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1017-7108
EISSN: N/A
Student Perceptions of Mobile Automated Speech Recognition for Pronunciation Study and Testing
Dillon, Thomas; Wells, Donald
English Teaching, v76 n4 p101-122 Win 2021
This study utilized Automated Speech Recognition technology to determine the potential utility and acceptance of such technology in the English as a Foreign Language classroom. Learners were made aware of the Automatic Speech Recognition potential of their mobile devices and provided with some direction in, and incentive for, its use. Participants were then scored on their assessment of the technology according to the Technology Acceptance Model. Participants showed a marked appreciation for the ease and utility of the technology with over 72% agreeing that the technology was both accessible and useful. Support for the use of Automatic Speech Recognition as a testing method was somewhat mixed, with 75% of participants agreeing that the testing was fair, but only 60% reporting that they felt they did well on the test. As a secondary point of interest, this study examined the potential use of Automatic Speech Recognition technology for teaching and testing pronunciation.
Korea Association of Teachers of English. 6105 English Education Department, Chinju National University of Education, 369beon-gil 3, Jinyangho-ro, Jinju, Gyeongsangnam-do, 52673, Republic of Korea. Tel: +82-42-629-7381; Fax: +82-42-629-7320; e-mail: katejournal29@gmail.com; Web site: http://journal.kate.or.kr/
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Korea
Grant or Contract Numbers: N/A