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Learning to Reason About Natural Selection as a Computational Process by Programming Agent-Based Models in a Code-First Environment
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Microworlds as Representations
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EvoBuild: A Quickstart Toolkit for Programming Agent-Based Models of Evolutionary Processes
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Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models
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Inventing a “Mid Level” to Make Ends Meet: Reasoning between the Levels of Complexity
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An Evolutionary Approach to Harnessing Complex Systems Thinking in the Science and Technology Classroom
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Biological evolution learning and computational thinking: Enhancing understanding through integration of disciplinary core knowledge and scientific practice
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Software‐Realized Scaffolding to Facilitate Programming for Science Learning
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Patterns, Probabilities, and People: Making Sense of Quantitative Change in Complex Systems
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Evolution Challenges
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Misunderstanding Emergent Causal Mechanism in Natural Selection
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Block-based programming in computer science education
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Interaction Analysis: Foundations and Practice
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Nothing in Biology Makes Sense except in the Light of Evolution
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Teaching and Learning About Complex Systems in K–12 Science Education: A Review of Empirical Studies 1995–2015
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The engine of complexity: evolution as computation
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Voicing Code in STEM: A Dialogical Imagination
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