Why do we retain information better when we learn it over a long time period?

The 

Spacing Effect

, explained.
Bias

What is the Spacing Effect?

The spacing effect demonstrates that learning is more effective when repeated in spaced repetitions. By repeating and spacing out the information that individuals learn, they can better recall that information in the future.1

spacing effect

Where this bias occurs

The spacing effect is broadly applicable to many fields but mainly has implications for educational practices. A typical example of the spacing effect can be seen in the different ways students study for courses and exams.

The spacing effect occurs when information is repeatedly learned over a spaced-out long period, resulting in an individual being able to better recall and remember the information being learned. The effect demonstrates that more information is encoded into our long-term memory when studied in spaced-out sessions, a process commonly referred to as spaced repetition or spaced practice. Students who use flashcards and have study techniques that extend over long periods are utilizing the spacing effect to learn.1 This contrasts with retaining information by mass presentation — a study habit more commonly referred to as cramming, which is the act of intensely absorbing large amounts of information in a short period.1

The spacing effect is part of a family of memory effects, referred to as the 'distributed-practice family', that deal with the impact of studying, reviewing, and testing the same thing several times. Other closely related phenomena in the family include the lag effect and the testing effect.2 

The lag effect suggests that we retain information better when there are longer breaks between repeated presentations of that information. More specifically, our ability to retain information follows a U curve relative to time; short spacing results in lower recall than moderate spacing, but retention begins to decline again when that spacing becomes longer. The testing effect refers to how actively recalling information through testing improves long-term retention more effectively than additional study or review. Practically, this means that learning and memory are facilitated by including practice tests when revising.3 Together, these memory theories constitute a highly effective toolbox of approaches that individuals can use to improve learning and education outcomes across various contexts. 

Sources

  1. Vlach, H. A., & Sandhofer, C. M. (2012). Distributing Learning Over Time: The Spacing Effect in Children’s Acquisition and Generalization of Science Concepts. Child Development, 83(4), 1137-1144. doi:10.1111/j.1467-8624.2012.01781.
  2. Delaney, P. F., Verkoeijen, P., Spirgel, A. (2010). Chapter 3 - Spacing and Testing Effects: A Deeply Critical, Lengthy, and at Times Discursive Review of the Literature. Psychology of Learning and Motivation, 53, 63-147. 
  3. Toppino, T. C., & Gerbier, E. (2014). Testing Effect. In Psychology of Learning and Motivation
  4. Larsen, D. P. (2014). Picking the Right Dose: The Challenges of Applying Spaced Testing to Education. Journal of Graduate Medical Education, 6(2), 349-350. 
  5. Sisti, H. M., Glass, A. L., & Shors, T. J. (2007). Neurogenesis and the spacing effect: Learning over time enhances memory and the survival of new neurons. Learning & Memory, 14(5), 368-375. 
  6. Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science 19(11), 1095-1102. 
  7. Wixted, J. T. (2004). On common ground: Jost’s (1897) law of forgetting and Ribot’s (1881) law of retrograde amnesia. Psychological Review, 111(4), 864–879.
  8. Hintzman, D. L., & Block, R. A. (1973). Memory for the spacing of repetitions. Journal of Experimental Psychology, 99(1), 70-74.

About the Authors

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Dan Pilat

Dan is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. Dan has a background in organizational decision making, with a BComm in Decision & Information Systems from McGill University. He has worked on enterprise-level behavioral architecture at TD Securities and BMO Capital Markets, where he advised management on the implementation of systems processing billions of dollars per week. Driven by an appetite for the latest in technology, Dan created a course on business intelligence and lectured at McGill University, and has applied behavioral science to topics such as augmented and virtual reality.

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Dr. Sekoul Krastev

Sekoul is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. A decision scientist with a PhD in Decision Neuroscience from McGill University, Sekoul's work has been featured in peer-reviewed journals and has been presented at conferences around the world. Sekoul previously advised management on innovation and engagement strategy at The Boston Consulting Group as well as on online media strategy at Google. He has a deep interest in the applications of behavioral science to new technology and has published on these topics in places such as the Huffington Post and Strategy & Business.

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