Practice Schedules Affect How Learners Correct Their Errors: Secondary Analysis From a Contextual Interference Study

Abstract

Contextual interference is an established phenomenon in learning research; random practice schedules are associated with poorer performance, but superior learning, compared with blocked practice schedules. We present a secondary analysis of N = 84 healthy young adults, replicating the contextual interference effect in a time estimation task. We used the determinant of a correlation matrix to measure the amount of order in participant responses. We calculated this determinant in different phase spaces: trial space, the determinant of the previous five trials (lagged constant error 0–4); and target space, the determinant of the previous five trials of the same target. In trial space, there was no significant difference between groups (p = .98) and no Group × Lag interaction (p = .54), although there was an effect of Lag (p p = .02), Lag (p p = .03). Ultimately, randomly scheduled practice was associated with adaptive corrections but positive correlations between errors from trial to trial (e.g., overshoots followed by smaller overshoots). Blocked practice was associated with more adaptive corrections but uncorrelated responses. Our findings suggest that random practice leads to the retrieval and updating of the target from memory, facilitating long-term retention and transfer.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 01, 2022
Source ID
10.1123/jmld.2022-0021

Entities

People

  • A. Mark Williams
  • Bradley Fawver
  • Joseph L. Thomas
  • Keith R Lohse
  • Sarah N. Taylor

Organizations

  • Florida Institute for Human and Machine Cognition
  • University of Utah
  • Walter Reed Army Institute of Research
  • Washington University in St. Louis

Tags

Fields of Study

  • Biology
  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Neural Network Machine Learning.

Technology Areas

  • Space