Emergent learning about measurement and uncertainty in an inquiry context

A case from an elementary classroom

Datos Bibliográficos

ID21392740
AutoresXiaowei Tang (0000-0002-9363-6248, Faculty of Education University of Macau Taipa Macao China, autor de correspondencia), Gang Shu (0000-0002-0610-9635, Yanghe Garden Elementary School Chongqing China), Bing Wei (0000-0002-5591-8025, Faculty of Education University of Macau Taipa Macao China), Daniel M Levin (0000-0001-6806-4228, Department of Teaching and Learning, Policy and Leadership University of Maryland College Park Maryland USA)
Año2024
Volumen108
Número1
Páginas308-331
Fecha de publicación2024-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaScience Education (JOURNAL)
Identificadores de la revistaISSN: 0036-8326 • E-ISSN: 1098-237X
EditorialWiley (PUBLISHER • GB)
DOI10.1002/sce.21837
OpenAlexW4387331537
IdiomaEN
Citas recibidas5
Referencias citadas45

Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and reconciled discrepancies in hypotheses by constructing and using measures and making inferences. Adopting a model‐based view of measurement, we show that when allowed to take on emergent measurement uncertainty while inquiring into causes for phenomena, late elementary students with no prior experience can engage in sophisticated reasoning characterized by a variety of theoretical modeling practices. Developing and aligning models of the phenomenon, the measure and the measurement data supported students in constructing an intuitive solution to their discrepancies. Our analysis also identified (1) a pattern of thinking and some common assumptions students adopted in their modeling practice that were productive, and (2) contextual elements affording and constraining emergent learning on measurement and uncertainty. In our discussion, we reflect on the educational potential of adopting a model‐based account of measurement and of treating measurement and uncertainty as integrated into investigative practice. We also discuss the necessary contexts for realizing the potential of the model‐based account

Class (philosophy) · Context (archaeology) · Data mining · Epistemology · Focus (optics) · Management science · Mathematics education · Measure (data warehouse) · Science education · Scientific modelling · Scientific reasoning · Uncertainty analysis · Variety (cybernetics) · Artificial Intelligence · Computer Science · Innovative Teaching Methods · Psychology · Science Education and Pedagogy · Statistics Education and Methodologies