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Teaching Reasoning

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Nisbett, Richard E., Fong, Geoffrey T., Lehman, Darrin R., Cheng, Patricia W.·1987·Science

DOI 10.1126/science.3672116

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Abstract

Twentieth-century psychologists have been pessimistic about teaching reasoning, prevailing opinion suggesting that people may possess only domain-specific rules, rather than abstract rules; this would mean that training a rule in one domain would not produce generalization to other domains. Alternatively, it was thought that people might possess abstract rules (such as logical ones) but that these are induced developmentally through self-discovery methods and cannot be trained. Research suggests a much more optimistic view: even brief formal training in inferential rules may enhance their use for reasoning about everyday life events. Previous theorists may have been mistaken about trainability, in part because they misidentified the kind of rules that people use naturally.

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Authors: Nisbett, R. E., Fong, G. T., Lehman, D. R., & Cheng, P. W.
Affiliations: University of Michigan (US)
ORCID: Fong, Geoffrey T.
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 1987-10-30
Volume: 238
Issue: 4827
Pages: 625-631
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.3672116
OpenAlex: W4249755205
Cited by: 272
References: 11
Citations by year: 2026: 1 · 2025: 4 · 2024: 3 · 2023: 9 · 2022: 7 · 2021: 5 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 7 · 2016: 5 · 2015: 5 · 2014: 2 · 2013: 10 · 2012: 1
FWCI: 50.47
Type: journal article
Language: en
Open access: green
hdl.handle.net
Locations: Science (publishedVersion)
PubMed (publishedVersion)
Deep Blue (University of Michigan) (submittedVersion)
Funders: National Institutes of Health (5r01mh038466-03)
National Institute of Mental Health (1 RO1 MH38466)
Topics: Social Sciences › Education › Education and Critical Thinking Development
Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords: reasoning, reasoning training, inference rules, abstract rules, domain-specific rules, transfer of training, rule induction, formal instruction, everyday reasoning
MeSH terms: Education, Humans, Learning, Logic, Statistics as Topic

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