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  • 标题:What Do Artificial Orthography Learning Tasks Actually Measure? Correlations Within and Across Tasks
  • 本地全文:下载
  • 作者:Xenia Schmalz ; Gerd Schulte-Körne ; Elisabetta de Simone
  • 期刊名称:Journal of Cognition
  • 电子版ISSN:2514-4820
  • 出版年度:2021
  • 卷号:4
  • 期号:1
  • 页码:7-20
  • DOI:10.5334/joc.144
  • 出版社:Ubiquity Press Ltd.
  • 摘要: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.
  • 关键词:Learning;reading;test-retest correlation;Paired Associate Learning;Artificial Orthography Learning
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