Prospective Adaptation in the Use of External Representations

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Abstract/Contents

Abstract
An important element of adaptive expertise involves stepping away from a routine to retool one's knowledge or environment. The current study investigated two forms of this adaptive pattern: fault-driven adaptations, which are reactions to a difficulty, and prospective adaptations, which are proactive reformulations. Graduate and undergraduate students with no medical training engaged in a medical diagnosis task that involved complex information management. The graduate students, who were relative experts in information management and data analysis, uniformly made prospective adaptations by taking the time to create external representations of the available information before they diagnosed a single patient. In contrast, the undergraduate students only made representations reactively, when experimental manipulations made their default behaviors impractical. Graduate students tolerated the time lost creating representations in favor of future benefits; well-structured representations led to more optimal diagnostic choices. Overall, the results indicate that long-term educational experiences are correlated with prospective adaptation, even in a novel task domain that is not explicitly a part of those educational experiences. This research provides new metrics for evaluating educational interventions designed to move students along a trajectory toward adaptive expertise.

Description

Type of resource text
Date created 2009

Creators/Contributors

Author Martin, Lee
Author Schwartz, Daniel L.
Publisher Taylor & Francis Group

Subjects

Subject Educational Research
Subject Representational Tools
Subject Teacher Education
Subject Teachers
Genre Article

Bibliographic information

Related Publication Martina, L., and Schwartz Daniel L. (2009). Prospective Adaptation in the Use of External Representations. Cognition and Instruction, 27(4): 370-400. DOI: 10.1080/07370000903221775
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Location https://purl.stanford.edu/bj473ny8179

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License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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Graduate School of Education Open Archive

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