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Everything about Distributed practice

Learning strategy

Distributed practice is a learning strategy, where practice is broken up into a number of short sessions over a longer period of time. Humans and other animals learn items in a list more effectively when they are studied in several sessions spread out over a long period of time, rather than studied repeatedly in a short period of time, a phenomenon called the spacing effect. The opposite, massed practice, consists of fewer, longer training sessions and is generally a less effective method of learning. For example, when studying for an exam, dispersing your studying more frequently over a larger period of time will result in more effective learning than intense study the night before. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Distributed practiceA 5-minute orientation
  2. Skim a recent paper: Infant exuberant object play at home: Immense amounts of time-distributed, variable practiceInfluential work since 2022
  3. Pick up a classic book: Applied survival analysisThe most-reprinted book on the subject
  4. Read the landmark paper: Distributed computing in practice: the Condor experienceCited 1,298 times
  5. Go sideways: Spacing effectA closely related topic
  6. Go sideways: Encoding (memory)A closely related topic

📖 Definitions

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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