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Predicting as a learning strategy

Bibliographic Data

ID21641377
AuthorsGarvin Brod (0000-0002-7976-5609, Goethe University Frankfurt, corresponding author)
Year2021
Volume28
Issue6
Pages1839-1847
Publication date2021-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychonomic Bulletin & Review (JOURNAL)
Journal identifiersISSN: 1069-9384 • E-ISSN: 1531-5320
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.3758/s13423-021-01904-1
PMID33768503
OpenAlexW3138597356
LanguageEN
Citations received9
References cited57

This article attempts to delineate the procedural and mechanistic characteristics of predicting as a learning strategy. While asking students to generate a prediction before presenting the correct answer has long been a popular learning strategy, the exact mechanisms by which it improves learning are only beginning to be unraveled. Moreover, predicting shares many features with other retrieval-based learning strategies (e.g., practice testing, pretesting, guessing), which begs the question of whether there is more to it than getting students to engage in active retrieval. I argue that active retrieval as such does not suffice to explain beneficial effects of predicting. Rather, the effectiveness of predicting is also linked to changes in the way the ensuing feedback is processed. Initial evidence suggests that predicting boosts surprise about unexpected answers, which leads to enhanced attention to the correct answer and strengthens its encoding. I propose that it is this affective aspect of predicting that sets it apart from other retrieval-based learning strategies, particularly from guessing. Predicting should thus be considered as a learning strategy in its own right. Studying its unique effects on student learning promises to bring together research on formal models of learning from prediction error, epistemic emotions, and instructional design

Cognitive psychology · Surprise · Computer Science · Educational Strategies and Epistemologies · Innovative Teaching and Learning Methods · Psychological and Educational Research Studies · Psychology · Social Psychology · Artificial Intelligence

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    Open Access•Christina Areizaga Barbieri, Brianna L Devlin•Journal of Computer Assisted…•2024

  • Generative and active engagement in learning neuroscience

    Open Access•Julia T Wilson, Patricia J Bauer•Cognition•2024

  • Do reflection prompts promote children's conflict monitoring and revision of misconceptions

    Open Access•Maria Theobald, Joseph Colantonio et al.•Child Development•2024

  • Prompting language learners to guess the meaning of idioms

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  • Long-term, multi-event surprise correlates with enhanced autobiographical memory

    Open Access•James W Antony, Jacob Van Dam et al.•Nature Human Behaviour•2023

  • International Handbook of Emotions in Education

    Reinhard Pekrun, Lisa Linnenbrink-Garcia•International Handbook of…•2014

  • The generation effect

    Open Access•Sharon Bertsch, Bryan J Pesta et al.•Memory & Cognition•2007

  • Learning as a generative process 1

    M C Wittrock•Educational Psychologist•1974

  • The Wick in the Candle of Learning

    Open Access•Min Jeong Kang, Ming Hsu et al.•Psychological Science•2009

  • The Critical Importance of Retrieval for Learning

    Open Access•Jeffrey D Karpicke, Henry L Roediger•Science•2008

  • The proactive brain

    Open Access•Michael Bar, Moshe Bar•Trends in Cognitive Sciences•2007

  • A Theory of Human Curiosity

    Open Access•D E Berlyne•British Journal of Psychology…•1954

  • Bayesian surprise attracts human attention

    Open Access•Laurent Itti, Pierre Baldi•Vision Research•2009

  • Measuring emotions during epistemic activities

    Reinhard Pekrun, Elisabeth Vogl et al.•Cognition & Emotion•2017

  • The generation effect

    Norman J Slamecka, Peter Graf•Journal of Experimental…•1978

  • Eight Ways to Promote Generative Learning

    Open Access•Logan Fiorella, Richard E Mayer•Educational Psychology Review•2016

  • Reciprocal Teaching of Comprehension-Fostering and Comprehension-Monitoring Activities

    Aannemarie Sullivan Palinscar, Ann L Brown•Cognition and Instruction•1984

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    Open Access•Tina Seabrooke, Chris J Mitchell et al.•Psychonomic Bulletin & Review•2021

  • Cognitive Prerequisites for Generative Learning

    Open Access•Jasmin Breitwieser, Garvin Brod•Child Development•2021

  • The psychology of curiosity

    G Loewenstein•Psychological Bulletin•1994

  • Amplification of Cognitive Motivation and Its Effects on Epistemic Observation

    Kayoko Inagaki, Giyoo Hatano•American Educational Research…•1977

Unique citing works9
Citations per year2,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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