Literature DB >> 34045926

Field tests of learning principles to support pedagogy: Overlap and variability jointly affect sound/letter acquisition in first graders.

Bob McMurray1, Tanja C Roembke2, Eliot Hazeltine2.   

Abstract

Many details in reading curricula (e.g., the order of materials) have analogues in laboratory studies of learning (e.g., blocking/interleaving). Principles of learning from cognitive science could be used to structure these materials to optimize learning, but they are not commonly applied. Recent work bridges this gap by "field testing" such principles: Rather than testing whole curricula, these studies teach students a small set of sound-spelling-regularities over a week via an internet-delivered program. Training instantiates principles from cognitive science to test their application to vowel acquisition, a critical part of reading. The current study is a follow-up of Apfelbaum, Hazeltine, and McMurray (2013) and Roembke, Freedberg, Hazeltine, and McMurray (submitted), which found differing effects of consonant variability for learning vowels. In addition to investigating this discrepancy, this study examined a new principle: blocking/interleaving. While interleaved training is typically beneficial, this is difficult to apply in reading where there are many regularities. We compared a fully interleaved regime (six vowels) to two blocked regimes teaching two vowels on each block. Blocked conditions differed on whether vowels overlapped (EA with OA) or not (EA with OU). Blocking was crossed with consonant variability. 417 first graders were pre-tested on 6 vowels, and underwent 3-5 days of training, followed by a post-test and retention test. Blocking had little effect. However, there was a variability benefit when overlapping vowel strings were blocked together, and no effect of variability for interleaved training. Thus, benefits may only be observed if blocking highlights contrast between regularities. When applied to real-world skills, learning principles from cognitive science may interact in complex ways.

Entities:  

Keywords:  Grapheme-Phoneme Correspondence regularities; Reading; blocking; interleaving; learning; variability

Year:  2018        PMID: 34045926      PMCID: PMC8153404          DOI: 10.1080/15248372.2018.1526176

Source DB:  PubMed          Journal:  J Cogn Dev        ISSN: 1524-8372


  42 in total

1.  The role of speed of processing, rapid naming, and phonological awareness in reading achievement.

Authors:  Hugh W Catts; Matthew Gillispie; Laurence B Leonard; Robert V Kail; Carol A Miller
Journal:  J Learn Disabil       Date:  2002 Nov-Dec

2.  ANCOVA versus change from baseline: more power in randomized studies, more bias in nonrandomized studies [corrected].

Authors:  Gerard J P Van Breukelen
Journal:  J Clin Epidemiol       Date:  2006-06-23       Impact factor: 6.437

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Journal:  Behav Res Ther       Date:  1998 Jul-Aug

4.  Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability.

Authors:  S E Shaywitz; M D Escobar; B A Shaywitz; J M Fletcher; R Makuch
Journal:  N Engl J Med       Date:  1992-01-16       Impact factor: 91.245

5.  Statistical learning in reading: variability in irrelevant letters helps children learn phonics skills.

Authors:  Keith S Apfelbaum; Eliot Hazeltine; Bob McMurray
Journal:  Dev Psychol       Date:  2012-08-27

6.  Finding the signal by adding noise: The role of noncontrastive phonetic variability in early word learning.

Authors:  Gwyneth C Rost; Bob McMurray
Journal:  Infancy       Date:  2010-11-01

7.  Estimating the Risk of Future Reading Difficulties in Kindergarten Children: A Research-Based Model and Its Clinical Implementation.

Authors:  Hugh W Catts; Marc E Fey; Xuyang Zhang; J Bruce Tomblin
Journal:  Lang Speech Hear Serv Sch       Date:  2001-01-01       Impact factor: 2.983

8.  The development of categorization: effects of classification and inference training on category representation.

Authors:  Wei Sophia Deng; Vladimir M Sloutsky
Journal:  Dev Psychol       Date:  2015-01-19

9.  A distributed, developmental model of word recognition and naming.

Authors:  M S Seidenberg; J L McClelland
Journal:  Psychol Rev       Date:  1989-10       Impact factor: 8.934

10.  Putting category learning in order: Category structure and temporal arrangement affect the benefit of interleaved over blocked study.

Authors:  Paulo F Carvalho; Robert L Goldstone
Journal:  Mem Cognit       Date:  2014-04
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