Teaching science inquiry practices, especially the more contemporary ones, such as computational thinking practices, requires designing newer learning environments and appropriate pedagogical scaffolds. Using such learning environments, when students construct knowledge about disciplinary ideas using inquiry practices, it is important that they make connections between the two. We call such connections epistemic connections, which are about constructing knowledge using science inquiry practices. In this paper, we discuss the design of a computational thinking integrated biology unit as an Emergent Systems Microworlds (ESM) based curriculum. Using Epistemic Network Analysis, we investigate how the design of unit support students’ learning through making epistemic connections. We also analyze the teacher’s pedagogical moves to scaffold making such connections. This work implies that to support students’ epistemic connections between science inquiry practices and disciplinary ideas, it is critical to design restructured learning environments like ESMs, aligned curricular activities and provide appropriate pedagogical scaffolds.
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Apt Epistemic Practices in a High School Science Classroom: A Contrastive Case Study
In the current “post-truth” era, there is a growing need to promote apt epistemic practices in science education. In this study, we investigated two high-school biology students’ epistemic practices during a modeling unit and appraised them for aptness using the Apt-AIR framework. Additionally, we analyzed their responses to a post-implementation focus group interview, designed to elicit their metacognition regarding epistemic practices, as they answered probing questions about practices within the curriculum and reflected on video clips of other students engaging with the units. We document the epistemic practices that students engage in during a modeling unit and evaluate the extent to which they are apt. Findings suggest a disassociation between students’ cognitive engagement in modeling practices and their metacognitive understanding.
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- Award ID(s):
- 2009803
- PAR ID:
- 10534703
- Publisher / Repository:
- International Society of the Learning Sciences
- Date Published:
- Page Range / eLocation ID:
- 751-758
- Format(s):
- Medium: X
- Location:
- Hiroshima, Japan
- Sponsoring Org:
- National Science Foundation
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