403
Views
17
CrossRef citations to date
0
Altmetric
Research Articles

Developing Sensitivity to Subword Combinatorial Orthographic Regularity (SCORe): A Two-Process Framework

Pages 231-247 | Published online: 24 Feb 2016
 

ABSTRACT

Accumulating evidence suggests that literacy acquisition involves developing sensitivity to the statistical regularities of the textual environment. To organize accumulating evidence and help guide future inquiry, this article integrates data from disparate fields of study and formalizes a new two-process framework for developing sensitivity to subword combinatorial orthographic regularity (SCORe). This framework posits that sensitivity to SCORe emerges from task-driven attentional control enabling and being modulated by incidental statistical learning. The first section of this artilce defines SCORe and reviews evidence for sensitivity to SCORe among children. The second section discusses incidental statistical learning (i.e., chunking, statistical computations), task-driven attentional control (i.e., afferent modulation), and their bidirectional interplay in SCORe learning. The third section brings basic knowledge about the neurobiology of orthographic processing to bear on the development of SCORe sensitivity. This article concludes with areas of future inquiry related to reading instruction and developmental dyslexia.

Acknowledgments

The author would like to thank the anonymous reviewers for their insightful feedback on earlier versions of this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 337.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.