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The Role of Anomalous Data in Knowledge Acquisition

A Theoretical Framework and Implications for Science Instruction

Bibliographic Data

ID23345490
AuthorsClark A Chinn (0000-0002-5663-7794, Center for the Study of Reading, University of Illinois at Urbana-Champaign), William F Brewer (Center for the Study of Reading, University of Illinois at Urbana-Champaign)
Year1993
Volume63
Issue1
Pages1-49
Publication date1993-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReview of Educational Research (JOURNAL)
Journal identifiersISSN: 0034-6543 • E-ISSN: 1935-1046
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/00346543063001001
OpenAlexW2166792455
LanguageEN
Citations received153
References cited126

Understanding how science students respond to anomalous data is essential to understanding knowledge acquisition in science classrooms. This article presents a detailed analysis of the ways in which scientists and science students respond to such data. We postulate that there are seven distinct forms of response to anomalous data, only one of which is to accept the data and change theories. The other six responses involve discounting the data in various ways in order to protect the preinstructional theory. We analyze the factors that influence which of these seven forms of response a scientist or student will choose, giving special attention to the factors that make theory change more likely. Finally, we discuss the implications of our framework for science instruction.

Cognitive psychology · Data science · Epistemology · Mathematics education · Nature of Science · Open Science · Order (exchange) · Science education · Computer Science · Education and Critical Thinking Development · Educational Strategies and Epistemologies · Mathematics · Psychology · Science Education and Pedagogy

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Unique citing works153
Citations per year4,78
Citation span1994 - 2026 (33)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 133

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