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Learning natural selection through computational thinking: Unplugged design of algorithmic explanations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The future of natural selection knowledge measurement: A reply to Anderson et al. (2010)
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Defining Computational Thinking for Mathematics and Science Classrooms
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Understanding Natural Selection: Essential Concepts and Common Misconceptions
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How to learn and how to teach computational thinking: Suggestions based on a review of the literature
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The nature of naive explanations of natural selection
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MAKING EVOLUTION RELEVANT AND EXCITING TO BIOLOGY STUDENTS
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Computational Thinking in Elementary and Secondary Teacher Education
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Exploring the influence of plant and animal item contexts on student response patterns to natural selection multiple choice items
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Algorithms, Abstractions, and Iterations: Teaching Computational Thinking Using Protein Synthesis Translation
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Computational Thinking Concepts for Grade School
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Nothing in Biology Makes Sense except in the Light of Evolution
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Developing Computational Thinking in Compulsory Education - Implications for policy and practice
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Computational Thinking in K–12
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Additional file 1 of Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis
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Toward a Theory (and Practice) of Multiple Computational Thinkings
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