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Toward a Computational Thinking Paradigm

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Title: Toward a Computational Thinking Paradigm
Author: Laundry, Nathan
Department: School of Computer Science
Program: Computer Science
Advisor: McCuaig, Judi
Abstract: Computational Thinking (CT) is crucial in today’s world, but the lack of a shared paradigm poses challenges for researchers addressing key issues like effective teaching. Di- verse stakeholder motivations further complicate consensus on definitions, methods, and metrics. This research proposes a CT meta-framework, integrating cognitive science and stakeholder hypotheses, to disambiguate definitions and clarify experimental methods for a CT transfer experiment. The framework’s success is measured by its ability to disambiguate transfer and algorithm definitions, determine an algorithmic thinking metric, and design a transfer case study method. The research involves three steps: 1) literature review and coding to identify CT per- spectives and provide nomenclature for them; 2) integrating cognitive science concepts to develop the CT meta-framework; and 3) applying the meta-framework in a transfer case study to disambiguate definitions and identify limitations. This research aims to bridge the gap between CT perspectives and facilitate a more cohesive approach to CT research and education.
Date: 2023-03
Rights: Attribution-ShareAlike 4.0 International

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