Comparing Adaptive and Random Spacing Schedules during Learning to Mastery Criteria.

adaptive learning mastery learning memory optimal practice spacing effect

Journal

CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference
Titre abrégé: Cogsci
Pays: United States
ID NLM: 101607840

Informations de publication

Date de publication:
Historique:
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 3 8 2021
Statut: ppublish

Résumé

Adaptive generation of spacing intervals in learning using response times improves learning relative to both adaptive systems that do not use response times and fixed spacing schemes (Mettler, Massey & Kellman, 2016). Studies have often used limited presentations (e.g., 4) of each learning item. Does adaptive practice benefit learning if items are presented until attainment of objective mastery criteria? Does it matter if mastered items drop out of the active learning set? We compared adaptive and non-adaptive spacing under conditions of mastery and dropout. Experiment 1 compared random presentation order with no dropout to adaptive spacing and mastery using the ARTS (Adaptive Response-time-based Sequencing) system. Adaptive spacing produced better retention than random presentation. Experiment 2 showed clear learning advantages for adaptive spacing compared to random schedules that also included dropout. Adaptive spacing performs better than random schedules of practice, including when learning proceeds to mastery and items drop out when mastered.

Identifiants

pubmed: 34337609
pmc: PMC8324179
mid: NIHMS1722428

Types de publication

Journal Article

Langues

eng

Pagination

773-779

Subventions

Organisme : NCI NIH HHS
ID : R01 CA236791
Pays : United States

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Auteurs

Everett Mettler (E)

Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA.

Timothy Burke (T)

Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA.

Christine M Massey (CM)

Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA.

Philip J Kellman (PJ)

Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 USA.

Classifications MeSH