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The Depletion, Power, Integration, Latency (DPIL) Model of Spaced and Massed Repetition

Sikström, Sverker LU and Mohammad, Jaber (2012) In Computers & Industrial Engineering 63(1). p.323-337
Abstract
Although several models have been suggested in the literature to describe the relationship between learning and forgetting, this relationship is still not fully understood. This paper proposes the Depletion-Power-Integration-Latency (DPIL) model, which assumes that performing a task repetitively depletes the available encoding resources for that task. The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals. The model was also fitted to empirical data collected from a quality inspection station at an industrial firm. The DPIL model has the advantage of predicting the length... (More)
Although several models have been suggested in the literature to describe the relationship between learning and forgetting, this relationship is still not fully understood. This paper proposes the Depletion-Power-Integration-Latency (DPIL) model, which assumes that performing a task repetitively depletes the available encoding resources for that task. The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals. The model was also fitted to empirical data collected from a quality inspection station at an industrial firm. The DPIL model has the advantage of predicting the length of the final break (interruption) that optimizes performance. This finding is important as it has many industrial engineering applications. The numerical results in this paper show that performance improves as the length of each break preceding the final break increases. This is consistent with empirical findings that moderately short breaks are optimal for performance. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Learning, Forgetting, Spaced/Massed practice, Mathematical model, Depletion, Novelty, Optimal break length, Empirical validation.
in
Computers & Industrial Engineering
volume
63
issue
1
pages
323 - 337
publisher
Elsevier
external identifiers
  • wos:000304687100030
  • scopus:84859731290
ISSN
0360-8352
DOI
10.1016/j.cie.2012.03.005
language
English
LU publication?
yes
id
d3f04ac4-deae-46f3-b8cf-a513533bee36 (old id 2371237)
date added to LUP
2012-03-13 13:43:26
date last changed
2017-01-01 05:46:24
@article{d3f04ac4-deae-46f3-b8cf-a513533bee36,
  abstract     = {Although several models have been suggested in the literature to describe the relationship between learning and forgetting, this relationship is still not fully understood. This paper proposes the Depletion-Power-Integration-Latency (DPIL) model, which assumes that performing a task repetitively depletes the available encoding resources for that task. The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals. The model was also fitted to empirical data collected from a quality inspection station at an industrial firm. The DPIL model has the advantage of predicting the length of the final break (interruption) that optimizes performance. This finding is important as it has many industrial engineering applications. The numerical results in this paper show that performance improves as the length of each break preceding the final break increases. This is consistent with empirical findings that moderately short breaks are optimal for performance.},
  author       = {Sikström, Sverker and Mohammad, Jaber},
  issn         = {0360-8352},
  keyword      = {Learning,Forgetting,Spaced/Massed practice,Mathematical model,Depletion,Novelty,Optimal break length,Empirical validation.},
  language     = {eng},
  number       = {1},
  pages        = {323--337},
  publisher    = {Elsevier},
  series       = {Computers & Industrial Engineering},
  title        = {The Depletion, Power, Integration, Latency (DPIL) Model of Spaced and Massed Repetition},
  url          = {http://dx.doi.org/10.1016/j.cie.2012.03.005},
  volume       = {63},
  year         = {2012},
}