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Christina Krist; Soo-Yean Shim – Journal of Research in Science Teaching, 2024
Teaching to support students' sense-making is challenging. It requires continuous, context-dependent decision-making about which student ideas to pursue, when, how, and why. This paper presents a single case study of an experienced teacher, Nadine, as an illustrative case in order to provide a rich description of this teacher's decisional…
Descriptors: Experienced Teachers, Educational Practices, Decision Making, Students
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Daniel R. Pimentel – Journal of Research in Science Teaching, 2025
Students frequently turn to the internet for information about a range of scientific issues. However, they can find it challenging to evaluate the credibility of the information they find, which may increase their susceptibility to mis- and disinformation. This exploratory study reports findings from an instructional intervention designed to teach…
Descriptors: Information Sources, Evaluative Thinking, Internet, Science Process Skills
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Haskel-Ittah, Michal – Journal of Research in Science Teaching, 2023
Many studies have characterized students' difficulties in understanding and reasoning about scientific mechanisms. Some of those studies have drawn implications on teaching mechanisms and how to guide students while reasoning mechanistically. In this theoretical article, I claim that one component that has not garnered much attention in the…
Descriptors: Abstract Reasoning, Science Process Skills, Scientific Concepts, Science Instruction
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Tuncay-Yüksel, Büsra; Yilmaz-Tüzün, Özgül; Zeidler, Dana L. – Journal of Research in Science Teaching, 2023
The purpose of this study was to test predictability of environmental moral reasoning patterns of preservice science teachers (PSTs) by their epistemological beliefs and values. Four environmental moral dilemma scenarios that reflect different environmental moral dilemma situations taking place in four outdoor recreation contexts (i.e., hiking,…
Descriptors: Preservice Teachers, Foreign Countries, Conservation (Environment), Predictor Variables