DigiTala research project: Automatic speech recognition in assessing L2 speaking

Maria Kautonen; Anna von Zansen

DigiTala research project: Automatic speech recognition in assessing L2 speaking

Forskningsoutput: Tidskriftsbidrag › Artikel › Professionell

Sammanfattning

In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination.

Bidragets översatta titel	DigiTala-tutkimushanke: Automaattinen puheentunnistus suullisen kielitaidon arvioinnissa
Originalspråk	engelska
Tidskrift	Kieli, koulutus ja yhteiskunta : Kieliverkoston verkkolehti
Volym	11
Nummer	4
ISSN	1799-0181
Status	Publicerad - 10 juni 2020
MoE-publikationstyp	D1 Artikel i en branschtidskrift

Vetenskapsgrenar

516 Pedagogik

Åtkomst av dokument

https://www.kieliverkosto.fi/fi/journals/kieli-koulutus-ja-yhteiskunta-kesakuu-2020/digitala-research-project-automatic-speech-recognition-in-assessing-l2-speakingLicens: !!Unspecified

DigiTala: iTala - Digital support for training and assessing second language speaking
Hilden, R. (Projektledare), Hilden, R. (Principal Investigator), Kurimo, M. (Principal Investigator), Kuronen, M. (Principal Investigator), Heijala, M. (deltagare), Huhta, A. (deltagare), Lehtovuori, K. M. R. (deltagare), Tarvainen-Li, L. L. E. (deltagare), von Zansen, A. K. (deltagare), von Zansen, A. K. (Deltagare) & Laihanen, E. A. (Annan)
Suomen Akatemia Projektilaskutus
01/09/2019 → 31/08/2023
Projekt: Finlands Akademi: Akademiprojektsbidrag

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title = "DigiTala research project: Automatic speech recognition in assessing L2 speaking",

abstract = "In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyv{\"a}skyl{\"a} that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination.",

keywords = "516 Educational sciences, kielitaidon arviointi, suullinen kielitaito, digitaalinen ylioppilastutkinto, automaattinen puheentunnistus, Oral Skills, language assessment, educational technology, automatic speech recognition, high-stakes, Matriculation examination",

author = "Maria Kautonen and {von Zansen}, Anna",

year = "2020",

month = jun,

day = "10",

language = "English",

volume = "11",

journal = "Kieli, koulutus ja yhteiskunta : Kieliverkoston verkkolehti",

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T1 - DigiTala research project

T2 - Automatic speech recognition in assessing L2 speaking

AU - Kautonen, Maria

AU - von Zansen, Anna

PY - 2020/6/10

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N2 - In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination.

AB - In this article, we discuss the premise of assessing oral language skills with the help of automatic speech recognition. We present the main goals and working methods in DigiTala project (2019–2023) – a research project between University of Helsinki, Aalto University and University of Jyväskylä that aims at developing a digital tool for assessing and practicing oral language skills. Ultimately, this digital tool would enable implementing tasks measuring oral skills into the language tests of the Matriculation Examination.

KW - 516 Educational sciences

KW - kielitaidon arviointi

KW - suullinen kielitaito

KW - digitaalinen ylioppilastutkinto

KW - automaattinen puheentunnistus

KW - Oral Skills

KW - language assessment

KW - educational technology

KW - automatic speech recognition

KW - high-stakes

KW - Matriculation examination

M3 - Article

SN - 1799-0181

VL - 11

JO - Kieli, koulutus ja yhteiskunta : Kieliverkoston verkkolehti

JF - Kieli, koulutus ja yhteiskunta : Kieliverkoston verkkolehti

IS - 4

ER -

DigiTala research project: Automatic speech recognition in assessing L2 speaking

Sammanfattning

Vetenskapsgrenar

Åtkomst av dokument

Projekt

DigiTala: iTala - Digital support for training and assessing second language speaking

Citera det här