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Ericsson, K. Anders; Fox, Mark C. – Psychological Bulletin, 2011
Schooler's (2011) commentary of our meta-analysis (Fox, Ericsson, & Best, 2011), although thoughtful and generally complimentary, misclassifies the think-aloud method as a form of introspection. Although he praised the scientific rigor of the think-aloud method, Schooler criticized its limitations as a mode of capturing the full range of conscious…
Descriptors: Protocol Analysis, Cognitive Processes, Meta Analysis, Methods
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Voss, Ralph F. – Journal of Advanced Composition, 1983
Contends that composition studies risks a detrimental borrowing of prestige from science, a borrowing that is not only potentially misleading but also too limiting if it draws attention away from the broad spectrum of considerations inherent in composition studies. (RAE)
Descriptors: Case Studies, Higher Education, Models, Protocol Analysis
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Dobrin, David N. – College English, 1986
Replies to Steinberg's article on protocol analysis in this issue and argues that even if the writing process is a problem-solving process, it is too complex to analyze sufficiently using protocols. (SRT)
Descriptors: Cognitive Processes, Cognitive Psychology, Models, Problem Solving
Rosenberg, Ronni – Educational Technology, 1987
Reviews the current status of intelligent tutoring systems and summarizes the literature that evaluates these systems. Discussion highlights the problems of inadequate models, the lack of protocol analysis in systems design, and flaws in testing methodologies. (20 references) (CLB)
Descriptors: Computer Assisted Instruction, Educational Needs, Evaluation Criteria, Expert Systems
White, Barbara Y.; Frederiksen, John R. – 1986
This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…
Descriptors: Artificial Intelligence, Cognitive Processes, Electric Circuits, Experiential Learning