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dc.contributor.authorAdair, Amy
dc.contributor.authorPedro, Michael Sao
dc.contributor.authorGobert, Janice
dc.contributor.authorOwens, Jessica A.
dc.identifier.citationAdair, A., Pedro, M. S., Gobert, J., & Owens, J. A. (2023). Assessing students’ competencies with mathematical models in virtual science inquiry investigations. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 914-917). International Society of the Learning Sciences.en
dc.descriptionShort Paperen
dc.description.abstractDeveloping models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students’ competencies at both developing and evaluating mathematical models in science inquiry contexts aligned with the NGSS (2013). Results show that model development and evaluation competencies are correlated, but students who demonstrate proficiency with model development often struggle with evaluation. Nuanced data illustrate how components of modeling competencies differ and how they may be related.en
dc.publisherInternational Society of the Learning Sciences
dc.relation.ispartofProceedings of the 17th International Conference of the Learning Sciences - ICLS 2023, pp. 914-917
dc.subjectLearning Sciencesen
dc.titleAssessing Students’ Competencies With Mathematical Models in Virtual Science Inquiry Investigationsen
Appears in Collections:ISLS Annual Meeting 2023

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