Interactive Constructionist Scaffolds for Agent-Based Modeling and Programming in NetLogo.
Published in FabLearn / Constructionism: Full and Short Research Papers, 2023
Summary
This paper explores the benefits of interactive scaffolds in constructionist learning experiences with Agent-based Modeling and Programming (ABM & P). While many previous studies have supported ABM & P learning, they often lack embedded interactive scaffolds. In a recent study, we introduced the Tortuga Interactive Scaffolding system for designers to build interactive scaffolds for ABM & P with simple commands that can react to learners’ emergent interactions and a model’s emergent behaviors. To explore the design affordances of this system, we implemented scaffolds for eight agent-based models with three design paradigms: content-agnostic, exploration-oriented, and programming-oriented. With log data collected from out-of-school, online learning contexts, our quantitative analysis shows that exploration-oriented and programming-oriented scaffolds did better to engage learners in constructionist ABM & P activities. We discuss implications for other constructionist learning designers.
Recommended citation: Chen, J., Horn, M. S., & Wilensky, U. J. (2023a). Interactive Constructionist Scaffolds for Agent-Based Modeling and Programming in NetLogo. FabLearn / Constructionism 2023: Full and Short Research Papers.
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