Design Considerations for a Multiple-Choice Assessment of Socio-Scientific Systems Thinking
Article Sidebar
Main Article Content
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.
Downloads
Article Details
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.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright © 2026 by the International Journal of Designs for Learning, a publication of the Association of Educational Communications and Technology (AECT), published by Indiana University Libraries Journals. Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee, provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page in print or the first screen in digital media. Except as otherwise noted, the content published by IJDL is licensed under CC BY-NC-ND 4.0. A simpler version of this statement is available here.