Design Considerations for a Multiple-Choice Assessment of Socio-Scientific Systems Thinking

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Eric A Kirk
https://orcid.org/0000-0003-4954-2866
Troy D. Sadler
https://orcid.org/0000-0002-9401-0300
Li Ke
https://orcid.org/0000-0001-5152-630X
Laura Zangori
https://orcid.org/0000-0002-7512-5559

Abstract

This design case details the design process of a multiple-choice assessment of socio-scientific systems thinking. This assessment is situated within a larger project that aims to understand the ways students use multiple scientific models to understand complex socio-scientific issues. In addition to the research component, this project entails developing curriculum and assessment resources that support science teaching and learning. We begin this paper by framing the needs that motivated the design of this assessment and introducing the design team. We then present a narrative outlining the design process, focusing on key challenges that arose and the ways these challenges influenced our final design. We conclude this paper with a discussion of the compromises that had to be made in the process of designing this instrument.

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How to Cite
Kirk, E., Sadler, T., Ke, L., & Zangori, L. (2024). Design Considerations for a Multiple-Choice Assessment of Socio-Scientific Systems Thinking. International Journal of Designs for Learning, 15(1), 27–37. https://doi.org/10.14434/ijdl.v15i1.34204
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Articles
Author Biographies

Eric A Kirk, University of North Carolina at Chapel Hill

Eric A. Kirk is a doctoral student in the Learning Sciences and Psychological Studies program at the University of North Carolina at Chapel Hill. His work focuses on how students use models to make sense of complex systems implicated in societal issues.

Troy D. Sadler, University of North Carolina at Chapel Hill

Troy D. Sadler is the Thomas James Distinguished Proessor of Experiential Learning at the University of North Carolina at Chapel Hill. His work focuses on how to support students in negotiating socioscientific issues.

Li Ke, University of Nevada, Reno

Li Ke is an Assistant Professor of Science Education at the University of Nevada, Reno. His work focuses on supporting learners in using models and engaging in systems thinking, particularly with regards to socioscientific issues.

Laura Zangori, University of Missouri

Laura A. Zangori is an Associate Professor of Science Education at the University of Missouri, Columbia. Her work focuses on supporting students in using models to support scientific reasoning about complex systems.