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A Framework for Supporting Systems Thinking and Computational Thinking through Constructing Models

Title: A Framework for Supporting Systems Thinking and Computational Thinking through Constructing Models
Language: English
Authors: Shin, Namsoo (ORCID 0000-0002-5900-2073); Bowers, Jonathan; Roderick, Steve; McIntyre, Cynthia; Stephens, A. Lynn; Eidin, Emil; Krajcik, Joseph; Damelin, Daniel
Source: Instructional Science: An International Journal of the Learning Sciences. Dec 2022 50(6):933-960.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 28
Publication Date: 2022
Sponsoring Agency: National Science Foundation (NSF)
Contract Number: DRL1842035; DRL1842037
Document Type: Journal Articles; Reports - Research; Information Analyses
Descriptors: Systems Approach; Thinking Skills; Computation; Models; Science Education; Problem Solving; Curriculum Development; Teaching Methods
DOI: 10.1007/s11251-022-09590-9
ISSN: 0020-4277; 1573-1952
Abstract: We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve problems using models requires both systems thinking (ST) and computational thinking (CT). This study proposes a theoretical framework that uses modeling as a way to integrate ST and CT. We developed a framework to guide the complex process of developing curriculum, learning tools, support strategies, and assessments for engaging learners in ST and CT in the context of modeling. The framework includes essential aspects of ST and CT based on selected literature, and illustrates how each modeling practice draws upon aspects of both ST and CT to support explaining phenomena and solving problems. We use computational models to show how these ST and CT aspects are manifested in modeling.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1354909
Database: ERIC