Literature DB >> 27123574

A comparison of adaptive and fixed schedules of practice.

Everett Mettler1, Christine M Massey2, Philip J Kellman1.   

Abstract

Understanding and optimizing spacing during learning is a central topic for research in learning and memory and has substantial implications for real-world learning. Spacing memory retrievals across time improves memory relative to massed practice-the well-known spacing effect. Most spacing research has utilized fixed (predetermined) spacing intervals. Some findings indicate advantages of expanding over equal spacing (e.g., Landauer & Bjork, 1978); however, evidence is mixed (e.g., Karpicke & Roediger, 2007), and the field has lacked an integrated explanation. Learning may instead depend on interactions of spacing with an underlying variable of learning strength that varies for learners and items, and it may be better optimized by adaptive adjustments of spacing to learners' ongoing performance. Two studies investigated an adaptive spacing algorithm, Adaptive Response-Time-based Sequencing or ARTS (Mettler, Massey & Kellman, 2011) that uses response-time and accuracy to generate spacing. Experiment 1 compared adaptive scheduling with fixed schedules having either expanding or equal spacing. Experiment 2 compared adaptive schedules to 2 fixed "yoked" schedules that were copied from adaptive participants, equating average spacing across conditions. In both experiments, adaptive scheduling outperformed fixed conditions at immediate and delayed tests of retention. No evidence was found for differences between expanding and equal spacing. Yoked conditions showed that learning gains were due to adaptation to individual items and learners. Adaptive spacing based on ongoing assessments of learning strength yields greater learning gains than fixed schedules, a finding that helps to understand the spacing effect theoretically and has direct applications for enhancing learning in many domains. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Year:  2016        PMID: 27123574      PMCID: PMC6028005          DOI: 10.1037/xge0000170

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  23 in total

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Authors:  Nate Kornell; Robert A Bjork
Journal:  Psychon Bull Rev       Date:  2007-04

3.  Spacing effects in learning: a temporal ridgeline of optimal retention.

Authors:  Nicholas J Cepeda; Edward Vul; Doug Rohrer; John T Wixted; Harold Pashler
Journal:  Psychol Sci       Date:  2008-11

4.  Is expanding retrieval a superior method for learning text materials?

Authors:  Jeffrey D Karpicke; Henry L Roediger
Journal:  Mem Cognit       Date:  2010-01

5.  Maximizing students' retention via spaced review: practical guidance from computational models of memory.

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Journal:  Top Cogn Sci       Date:  2014-01

6.  Improving students' long-term knowledge retention through personalized review.

Authors:  Robert V Lindsey; Jeffery D Shroyer; Harold Pashler; Michael C Mozer
Journal:  Psychol Sci       Date:  2014-01-20

7.  Component-levels theory of the effects of spacing of repetitions on recall and recognition.

Authors:  A M Glenberg
Journal:  Mem Cognit       Date:  1979-03

8.  Adaptive response-time-based category sequencing in perceptual learning.

Authors:  Everett Mettler; Philip J Kellman
Journal:  Vision Res       Date:  2013-12-29       Impact factor: 1.886

9.  Training pattern recognition of skin lesion morphology, configuration, and distribution.

Authors:  Lauren Rimoin; Lisa Altieri; Noah Craft; Sally Krasne; Philip J Kellman
Journal:  J Am Acad Dermatol       Date:  2015-01-13       Impact factor: 11.527

10.  Perceptual learning and human expertise.

Authors:  Philip J Kellman; Patrick Garrigan
Journal:  Phys Life Rev       Date:  2008-12-14       Impact factor: 11.025

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  4 in total

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