Developing Professional Expertise with a Cognitive Apprenticeship Model: Examples from Avionics and Medicine
Developing Professional Expertise with a Cognitive Apprenticeship Model: Examples from Avionics and Medicine
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DOI:
10.1017/cbo9780511609817.004
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发表时间:
2009-01-01
期刊:
影响因子:
--
通讯作者:
Lajoie, Susanne P.
中科院分区:
文献类型:
--
作者:
Lajoie, Susanne P.
Nichols, Pokorny, Jones, & Gott, et al., in press). An analysis of Sherlock will be provided in terms of “what worked” or “lessons learned.” Applications of these methods and extensions to these techniques are also provided for another domain, medical problem solving (Lajoie, 2007). The adaptations are at least one example of generalizability of methodology that can lead to innovations in assessment in other domains.This chapter addresses professional competence in two domains, avionics troubleshooting and medical problem solving. Given that common proficiency dimensions have been identified in experts across domains (Chi, Glaser, & Farr, 1988), one would anticipate that professional proficiency would reflect these same dimensions of expertise. Examining competence or proficiency within a specific context is the first step in elaborating a model of thinking that can help the less competent become more proficient in a specific domain (Pellegrino, Chudowsky, & Glaser, 2001). Assessing professional competence within specialized contexts is a precursor to creating effective learning environments for the profession in question. Theories and methods used to support the identification of the cognitive competencies pertaining to a specific professional task are described, along with a mechanism for dynamically assessing the learners’ strengths and weaknesses in the context of domain-specific problem solving. The mechanism is embedded in the design of computer-based learning environments to support the integration of instruction and assessment in authentic contexts. Additionally, this chapter discusses how cognitive apprenticeship models can be used to support instruction and assessment in avionics troubleshooting and medical problem solving.