Testing Expectancy, but not Judgements of Learning, Moderate the Disfluency Effect

Jason Geller, Mary L. Still

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Do students learn better with material that is perceptually harder-to-process? Previous research has been equivocal concerning this question. To clarify these discrepancies, the present study examined two potential boundary conditions to determine when disfluent text is, and is not, beneficial to learning. The two boundary conditions examined were: type of judgement of learning (JOLs) and testing expectancy. Boundary conditions were examined in separate Group (incidental aggregate JOLs vs. intentional aggregate JOLs vs. item-by-item JOLs) by Disfluency (Masked vs. Nonmasked) mixed ANOVAs. Results revealed that type of JOL did not moderate the disfluency effect, but testing expectancy did. These results bring forth questions pertaining to the utility of disfluency on learning.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
PublisherThe Cognitive Science Society
Pages1705-1710
Number of pages6
ISBN (Electronic)9780991196784
StatePublished - 2018
Externally publishedYes
Event40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018 - Madison, United States
Duration: Jul 25 2018Jul 28 2018

Publication series

NameProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Country/TerritoryUnited States
CityMadison
Period7/25/187/28/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Desirable difficulties
  • Disfluency
  • JOLs
  • Learning
  • Memory
  • Testing Expectancy

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