The Use of Technology in Sign Language Testing: Results of a Pre-Pandemic Survey.
This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated in...
| Publicado en: | Sign Language Studies Vol. 23; no. 2; pp. 243 - 282 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Gallaudet University Press for Sign Language Studies
Winter2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=162319956&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 162319956 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 03021475 NGU jtl: Sign Language Studies issn: 03021475 maglogo: N pubinfo: dt: Winter2023 vid: 23 iid: 2 pid: 18684 pub: Gallaudet University Press for Sign Language Studies artinfo: ui: 162319956 10.1353/sls.2023.0003 ppf: 243 ppct: 39 formats: tig: atl: The Use of Technology in Sign Language Testing: Results of a Pre-Pandemic Survey. aug: au: Haug, Tobias Mann, Wolfgang Holzknecht, Franz su: Language ability testing Sign language Artificial intelligence sug: subj: Language ability testing Sign language Artificial intelligence ab: This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated information on the use of technology in sign language testing. Another goal was to broaden the scope of the previous study by also considering the use of automatic sign language recognition and production (by avatars) in applied testing scenarios through technologies that make use of artificial intelligence (AI). Thirty-two sign language testing professionals participated in the current study. The results of the survey confirm the findings from 2012, but also raise new issues for future research (trends) related to sign language testing, such as the use of automatic sign language recognition for automatic scoring and the problem of acquiring funding for developing and maintaining web-based sign language testing platforms. [End Page 243] pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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