Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9855
Title: Supporting Students’ Epistemic Agency to Revise a Class Criteria List for Scientific Models
Authors: Murphy, Danielle
Duncan, Ravit Golan
Chinn, Clark A.
Danish, Joshua
Hmelo-Silver, Cindy E.
Ryan, Zachary
Zhou, Jinzhi
Stiso, Christina
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Murphy, D., Duncan, R. G., Chinn, C. A., Danish, J., Hmelo-Silver, C. E., Ryan, Z., Zhou, J., & Stiso, C. (2023). Supporting students’ epistemic agency to revise a class criteria list for scientific models. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1110-1113). International Society of the Learning Sciences.
Abstract: Reforms in science education have called for students to engage in scientific practices. A scientific practice that has received increased attention is modeling. Part of the practice of modeling is the development, use, and evaluation of epistemic criteria which are the standards scientists use to evaluate the validity and accuracy of scientific models. For students to effectively engage with epistemic criteria, they need to be given collective cognitive responsibility, or epistemic agency. This study investigates how the design and implementation of a fifth-grade model-based inquiry unit supported students’ epistemic agency to revise an initial class criteria list for scientific models. The findings indicate that reflecting upon peer critique of their scientific models in a written task, and the ways that teachers engaged students in a class discussion to revise the initial class list, supported students’ epistemic agency to revise an initial class criteria list for scientific models.
Description: Short Paper
URI: https://doi.org/10.22318/icls2023.243024
https://repository.isls.org//handle/1/9855
Appears in Collections:ISLS Annual Meeting 2023

Files in This Item:
File SizeFormat 
ICLS2023_1110-1113.pdf220.91 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.