Paul J. Feltovich
University of Pittsburgh
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Archive | 2006
Paul J. Feltovich; Michael J. Prietula; K. Anders Ericsson
Introduction The study of expertise has a very long history that has been discussed in several other chapters in this handbook (Ericsson, Chapter 1; Amirault & Branson, Chapter 5). This chapter focuses on the influential developments within cognitive science and cognitive psychology that have occurred over the last three decades. Our chapter consists of two parts. In the first part we briefly review what we consider the major developments in cognitive science and cognitive psychology that led to the new field of expertise studies. In the second part we attempt to characterize some of the emerging insights about mechanisms and aspects of expertise that generalize across domains, and we explore the original theoretical accounts, along with more recent ones. The Development of Expertise Studies In this handbook there are several pioneering research traditions represented that were brought together to allow laboratory studies of expertise, along with the development of formal models that can reproduce the performance of the experts. One early stream was the study of thinking using protocol analysis, where participants were instructed to “think aloud” while solving everyday life problems (Duncker, 1945), and experts were asked to think aloud while selecting moves for chess positions (de Groot, 1946/1965; Ericsson, Chapter 13). Another stream developed out of the research on judgment and decision making, where researchers compared the judgments of experts to those of statistical models (Meehl, 1954; Yates & Tschirhart, Chapter 24).
hawaii international conference on system sciences | 1989
Michael J. Prietula; Paul J. Feltovich; F. Marchak
The authors describe a heuristic framework for understanding and investigating factors influencing cognitive malleability and, consequently, knowledge acquisition efforts. To examine their framework, they investigated the effects of modifying task materials and goal availability on engineering problem-solving performance and the nature of the knowledge acquired. For one set of four engineers, the dynamic group, any manipulations made by an engineer to a component parameter would be immediately followed by an analysis of the effects of the manipulation. The static group (also four engineers) received no feedback.<<ETX>>
Cognitive Science | 1981
Michelene T. H. Chi; Paul J. Feltovich; Robert Glaser
Cognitive Science | 1981
Paul E. Johnson; Alica S. Duran; Frank Hassebrock; James H. Moller; Michael Prietula; Paul J. Feltovich; David B. Swanson
Archive | 1981
Alan M. Lesgold; Paul J. Feltovich; Robert Glaser; Yen Wang
Archive | 1980
Michelene T. H. Chi; Paul J. Feltovich; Robert Glaser
Archive | 1988
Alan M. Lesgold; H. Rubinson; Paul J. Feltovich; Robert Glaser; Dale S. Klopfer; Yen Wang
hawaii international conference on system sciences | 1979
Paul E. Johnson; Dennis G. Severance; Paul J. Feltovich
Archive | 2010
Robert R. Hoffman; Paul J. Feltovich; Steve Fiore; Gary L. Klein; Whit Missildine; Lia DiBello
Archive | 2012
Jeffrey M. Bradshaw; Marco Carvalho; Larry Bunch; Tom Eskridge; Paul J. Feltovich; Chris Forsythe; Robert R. Hoffman; Matthew Johnson; Dan Kidwell; David D. Woods