Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10358
Title: Assessing Students’ Competencies With Mathematical Models in Virtual Science Inquiry Investigations
Authors: Adair, Amy
Pedro, Michael Sao
Gobert, Janice
Owens, Jessica A.
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Adair, 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.
Abstract: Developing 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.
Description: Short Paper
URI: https://doi.org/10.22318/icls2023.183970
https://repository.isls.org//handle/1/10358
Appears in Collections:ISLS Annual Meeting 2023

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