Using a Model to Compute the Optimal Schedule of Practice

Autor/inn/en	Pavlik, Philip I.; Anderson, John R.
Titel	Using a Model to Compute the Optimal Schedule of Practice
Quelle	In: Journal of Experimental Psychology: Applied, 14 (2008) 2, S.101-117 (17 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-898X
DOI	10.1037/1076-898X.14.2.101
Schlagwörter	Intervals; Effect Size; Recall (Psychology); Experimental Psychology; Learning Strategies; Comparative Analysis; Behavioral Science Research; College Students; Performance; Vocabulary Development; Models; Memory; Time Factors (Learning); Pennsylvania + Suchen Sie Ihr Suchwort? Abberufung; Experimentelle Psychologie; Learning methode; Learning techniques; Lernmethode; Lernstrategie; Collegestudent; Achievement; Leistung; Wortschatzarbeit; Analogiemodell; Gedächtnis
Abstract	By balancing the spacing effect against the effects of recency and frequency, this paper explains how practice may be scheduled to maximize learning and retention. In an experiment, an optimized condition using an algorithm determined with this method was compared with other conditions. The optimized condition showed significant benefits with large effect sizes for both improved recall and recall latency. The optimization method achieved these benefits by using a modeling approach to develop a quantitative algorithm, which dynamically maximizes learning by determining for each item when the balance between increasing temporal spacing (that causes better long-term recall) and decreasing temporal spacing (that reduces the failure related time cost of each practice) means that the item is at the spacing interval where long-term gain per unit of practice time is maximal. As practice repetitions accumulate for each item, items become stable in memory and this optimal interval increases. (Contains 7 figures and 3 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10