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Research

Engaging students’ prior knowledge during instruction improves their learning of groundwater and aquifers

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Pages 114-129 | Received 29 Mar 2021, Accepted 07 Nov 2021, Published online: 29 Nov 2021
 

Abstract

Water sciences education is paramount to sustainable groundwater resource management, especially of drinking water, but misunderstandings about groundwater among non-experts remain widespread. Groundwater residence is an especially challenging concept to learn because it is not directly visible in typical circumstances. The present study uses a quasi-experimental research design to compare the impacts that two instructional sequences have on improving students’ conceptual understanding of groundwater residence and aquifers. Both instructional sequences are designed to use active learning, but only one solicits and engages students’ preconceptions. The theoretical framework for this study is the knowledge integration perspective of conceptual change. As such, this study considers cognitive, temporal, and social dimensions of learning. To assess students’ learning, concept sketches were analyzed using diagrammatic and textual content analyses, normalized learning gains were calculated, multiple-choice items were scored dichotomously (i.e., scored as either correct or incorrect), free-response items were scored for partial credit, and classroom observations tracked social interactions. We found significantly larger learning gains when students’ preconceptions were explicitly incorporated into the instructional sequence compared to when they were not taken into account. We also found the prior-knowledge instructional sequence (PKIS) positively impacted both Caucasian and non-Caucasian students as well as male and female students. Our findings indicate that actively engaging students’ prior knowledge in the ways that were researched herein can be a high impact teaching practice and is worthy of future research in other specific domains beyond groundwater residence and aquifers.

Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.2004536 .

Acknowledgments

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Additional information

Funding

This material is based upon work supported by the National Science Foundation under Grant No. 1821709.

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