TY - JOUR
T1 - Embodied perspective taking in learning about complex systems
AU - Soylu, Firat
AU - Holbert, Nathan
AU - Brady, Corey
AU - Wilensky, Uri
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation award, DRL-102010, “Enabling Modeling and Simulation-Based Science in the Classroom,” Northwestern University. The authors thank Michael Novak for contributing to the design of the instructional materials, Arthur Hjorth and Bryan Yu Guo for assisting with data collection, and Sharona Levy for providing feedback on a draft of the manuscript.
Funding Information:
This material is based upon work supported by the National Science Foundation award, DRL-102010, "Enabling Modeling and Simulation-Based Science in the Classroom," Northwestern University. The authors thank Michael Novak for contributing to the design of the instructional materials, Arthur Hjorth and Bryan Yu Guo for assisting with data collection, and Sharona Levy for providing feedback on a draft of the manuscript.
Publisher Copyright:
© 2017 Association for the Advancement of Computing in Education. All rights reserved.
PY - 2017/7
Y1 - 2017/7
N2 - In this paper we present an approach to learning design that leverages perspective taking to help students learn about complex systems. We define perspective taking as projecting one's identity onto external entities (both animate and inanimate) to predict and anticipate events based on ecological cues; to automatically sense the affordances of objects in the environment and take advantage of these affordances; and to understand the mental states of other individuals, an ability crucial for socialization and communication. We introduce one key construct, "phenomenological connectors," which are essentially activities that encourage embodied perspective taking across micro and macro levels of a system. Phenomenological connectors enable learners to step inside a system at various levels, thereby having first-person experiences of multiple agents and components, as they attempt to make sense of that system. We consider agent-based modeling activities as exemplars of this design approach. We argue that agent-based models (ABMs) present unique perspective taking challenges and learning opportunities, to learners. Informed by the learning design approach proposed, we present a curricular agent-based modeling unit on Particulate Nature of Matter (PNoM) and present data from the implementation of this unit in two 10th grade science classes. The discussion of data focuses on how students make sense of their firsthand experiences in a diffusion of odor experiment, where students collectively act as sensors to track the diffusion of odor, by building and reasoning with agent-based models, and taking perspectives of different agent- and aggregate-level elements of the system.
AB - In this paper we present an approach to learning design that leverages perspective taking to help students learn about complex systems. We define perspective taking as projecting one's identity onto external entities (both animate and inanimate) to predict and anticipate events based on ecological cues; to automatically sense the affordances of objects in the environment and take advantage of these affordances; and to understand the mental states of other individuals, an ability crucial for socialization and communication. We introduce one key construct, "phenomenological connectors," which are essentially activities that encourage embodied perspective taking across micro and macro levels of a system. Phenomenological connectors enable learners to step inside a system at various levels, thereby having first-person experiences of multiple agents and components, as they attempt to make sense of that system. We consider agent-based modeling activities as exemplars of this design approach. We argue that agent-based models (ABMs) present unique perspective taking challenges and learning opportunities, to learners. Informed by the learning design approach proposed, we present a curricular agent-based modeling unit on Particulate Nature of Matter (PNoM) and present data from the implementation of this unit in two 10th grade science classes. The discussion of data focuses on how students make sense of their firsthand experiences in a diffusion of odor experiment, where students collectively act as sensors to track the diffusion of odor, by building and reasoning with agent-based models, and taking perspectives of different agent- and aggregate-level elements of the system.
KW - Agent-based modeling
KW - Complex systems
KW - Embodied cognition
KW - Particulate nature of matter
KW - Perspective taking
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M3 - Review article
AN - SCOPUS:85049641542
VL - 28
SP - 269
EP - 303
JO - Journal of Interactive Learning Research
JF - Journal of Interactive Learning Research
SN - 1093-023X
IS - 3
ER -