Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement

Anna von Zansen; Ari Huhta

Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Diversity of Methods and Materials in Digital Human Sciences : Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland
Editors	Jarmo Harri Jantunen, Johanna Kalja-Voima, Matti Laukkarinen, Anna Puupponen, Margareta Salonen, Tuija Saresma, Jenny Tarvainen, Sabine Ylönen
Number of pages	19
Place of Publication	Jyväskylä
Publisher	University of Jyväskylä
Publication date	1 Dec 2022
Pages	211-229
ISBN (Electronic)	978-951-39-9450-1
Publication status	Published - 1 Dec 2022
MoE publication type	A4 Article in conference proceedings
Event	Digital Research Data and Human Sciences (DRDHum): Diversity of Methods and Materials - Jyväskylä universitet, Jyväskylä, Finland Duration: 1 Dec 2022 → 3 Dec 2022

Fields of Science

516 Educational sciences
automated feedback
rating scales
6121 Languages
language assessment
Oral Skills

Access to Document

Developing_automated_feedbackFinal published version, 3.89 MBLicence: CC BY

http://urn.fi/URN:ISBN:978-951-39-9450-1Licence: CC BY

DigiTala: DigiTala - Digital support for training and assessing second language speaking
Hilden, R. (Project manager), Hilden, R. (Principal Investigator), Kurimo, M. (Principal Investigator), Kuronen, M. (Principal Investigator), Heijala, M. (Participant), Huhta, A. (Participant), Lehtovuori, K. M. R. (Participant), Tarvainen-Li, L. L. E. (Participant), von Zansen, A. K. (Participant), von Zansen, A. K. (Participant) & Laihanen, E. A. (Other)
Suomen Akatemia Projektilaskutus
01/09/2019 → 31/08/2023
Project: Research Council of Finland: Academy Project

Cite this

von Zansen, A., & Huhta, A. (2022). Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement. In J. H. Jantunen, J. Kalja-Voima, M. Laukkarinen, A. Puupponen, M. Salonen, T. Saresma, J. Tarvainen, & S. Ylönen (Eds.), Diversity of Methods and Materials in Digital Human Sciences: Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland (pp. 211-229). University of Jyväskylä. http://urn.fi/URN:ISBN:978-951-39-9450-1

von Zansen, Anna ; Huhta, Ari. / Developing Automated Feedback on Spoken Performance : Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement. Diversity of Methods and Materials in Digital Human Sciences: Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland. editor / Jarmo Harri Jantunen ; Johanna Kalja-Voima ; Matti Laukkarinen ; Anna Puupponen ; Margareta Salonen ; Tuija Saresma ; Jenny Tarvainen ; Sabine Ylönen. Jyväskylä : University of Jyväskylä, 2022. pp. 211-229

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booktitle = "Diversity of Methods and Materials in Digital Human Sciences",

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von Zansen, A & Huhta, A 2022, Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement. in JH Jantunen, J Kalja-Voima, M Laukkarinen, A Puupponen, M Salonen, T Saresma, J Tarvainen & S Ylönen (eds), Diversity of Methods and Materials in Digital Human Sciences: Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland. University of Jyväskylä, Jyväskylä, pp. 211-229, Digital Research Data and Human Sciences (DRDHum), Jyväskylä, Finland, 01/12/2022. <http://urn.fi/URN:ISBN:978-951-39-9450-1>

Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement. / von Zansen, Anna; Huhta, Ari.
Diversity of Methods and Materials in Digital Human Sciences: Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland. ed. / Jarmo Harri Jantunen; Johanna Kalja-Voima; Matti Laukkarinen; Anna Puupponen; Margareta Salonen; Tuija Saresma; Jenny Tarvainen; Sabine Ylönen. Jyväskylä: University of Jyväskylä, 2022. p. 211-229.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Developing Automated Feedback on Spoken Performance

T2 - Digital Research Data and Human Sciences (DRDHum)

AU - von Zansen, Anna

AU - Huhta, Ari

PY - 2022/12/1

Y1 - 2022/12/1

KW - 516 Educational sciences

KW - automated feedback

KW - rating scales

KW - 6121 Languages

KW - language assessment

KW - Oral Skills

M3 - Conference contribution

SP - 211

EP - 229

BT - Diversity of Methods and Materials in Digital Human Sciences

A2 - Jantunen, Jarmo Harri

A2 - Kalja-Voima, Johanna

A2 - Laukkarinen, Matti

A2 - Puupponen, Anna

A2 - Salonen, Margareta

A2 - Saresma, Tuija

A2 - Tarvainen, Jenny

A2 - Ylönen, Sabine

PB - University of Jyväskylä

CY - Jyväskylä

Y2 - 1 December 2022 through 3 December 2022

ER -

von Zansen A, Huhta A. Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement. In Jantunen JH, Kalja-Voima J, Laukkarinen M, Puupponen A, Salonen M, Saresma T, Tarvainen J, Ylönen S, editors, Diversity of Methods and Materials in Digital Human Sciences: Proceedings of the Digital Research Data and Human Sciences DRDHum Conference 2022, December 1-3, Jyväskylä, Finland. Jyväskylä: University of Jyväskylä. 2022. p. 211-229

Developing Automated Feedback on Spoken Performance: Exploring the Functioning of Five Analytic Rating Scales Using Many-facet Rasch Measurement

Fields of Science

Access to Document

Projects

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

Cite this