What do artificial orthography learning tasks actually measure? Correlations within and across tasks

Xenia Schmalz; Gerd Schulte-Körne; Elisabetta de Simone; Kristina Moll

doi:10.5334/joc.144

What do artificial orthography learning tasks actually measure? Correlations within and across tasks

Xenia Schmalz^*, Gerd Schulte-Körne, Elisabetta de Simone, Kristina Moll

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

30 Downloads (Pure)

Abstract

Artificial Orthography Learning (AOL) may act as a possible candidate to model the learning of print-to-speech correspondences. In order to serve as an adequate task, however, we need to establish whether AOL can be reliably measured. In the current study, we report the correlations between the learning of two different artificial orthographies by the same 55 participants. We also explore the correlation between AOL skill and other participant-level variables, namely Paired Associate Learning (PAL) performance, word and nonword reading ability, and age. We find high correlations between learning of two different artificial orthographies. Correlations with reading fluency and PAL are low. These results leave questions about the link between reading acquisition and AOL. At the same time, they show that AOL ability can be reliably measured and justify its use for future studies.

Original language	English
Article number	7
Pages (from-to)	1-14
Number of pages	14
Journal	Journal of Cognition
Volume	4
Issue number	1
DOIs	https://doi.org/10.5334/joc.144
Publication status	Published - 13 Jan 2021
Externally published	Yes

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

learning
reading
test-retest correlation
Paired Associate Learning
Artificial Orthography Learning

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Publisher version (open access)Final published version, 1.31 MBLicence: CC BY

Cite this

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title = "What do artificial orthography learning tasks actually measure? Correlations within and across tasks",

abstract = "Artificial Orthography Learning (AOL) may act as a possible candidate to model the learning of print-to-speech correspondences. In order to serve as an adequate task, however, we need to establish whether AOL can be reliably measured. In the current study, we report the correlations between the learning of two different artificial orthographies by the same 55 participants. We also explore the correlation between AOL skill and other participant-level variables, namely Paired Associate Learning (PAL) performance, word and nonword reading ability, and age. We find high correlations between learning of two different artificial orthographies. Correlations with reading fluency and PAL are low. These results leave questions about the link between reading acquisition and AOL. At the same time, they show that AOL ability can be reliably measured and justify its use for future studies.",

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AU - de Simone, Elisabetta

AU - Moll, Kristina

N1 - Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2021/1/13

Y1 - 2021/1/13

N2 - Artificial Orthography Learning (AOL) may act as a possible candidate to model the learning of print-to-speech correspondences. In order to serve as an adequate task, however, we need to establish whether AOL can be reliably measured. In the current study, we report the correlations between the learning of two different artificial orthographies by the same 55 participants. We also explore the correlation between AOL skill and other participant-level variables, namely Paired Associate Learning (PAL) performance, word and nonword reading ability, and age. We find high correlations between learning of two different artificial orthographies. Correlations with reading fluency and PAL are low. These results leave questions about the link between reading acquisition and AOL. At the same time, they show that AOL ability can be reliably measured and justify its use for future studies.

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What do artificial orthography learning tasks actually measure? Correlations within and across tasks

Abstract

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Keywords

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