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Ari Krakowski; Eric Greenwald; Natalie Roman; Christina Morales; Suzanna Loper – Journal of Research in Science Teaching, 2024
The role of computation in science is ever-expanding and is enabling scientists to investigate complex phenomena in more powerful ways and tackle previously intractable problems. The growing role of computation has prompted calls to integrate computational thinking (CT) into science instruction in order to more authentically mirror contemporary…
Descriptors: Computation, Thinking Skills, Coding, Science Instruction
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Hughes, Roxanne; Schellinger, Jennifer; Roberts, Kari – Journal of Research in Science Teaching, 2021
Computing fields are foundational to most STEM disciplines and the only STEM discipline to show a consistent decline in women's representation since 1990, making it an important field for STEM educators to study. The explanation for the underrepresentation of women and girls in computing is twofold: a sense that they do not fit within the…
Descriptors: STEM Education, Females, Self Concept, Coding
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Ti'Era Worsley; Edna Tan – Journal of Research in Science Teaching, 2025
This article looks at how a Black informal STEM educator supported two Black boys' learning opportunities in coding, specifically investigating how the establishment of politicized trust between the informal STEM educator and youth supported their development of critical agency. Using the dual lenses of socio-spatial relationality and politicized…
Descriptors: Males, STEM Education, Coding, Personal Autonomy
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Vitale, Jonathan M.; Lai, Kevin; Linn, Marcia C. – Journal of Research in Science Teaching, 2015
We present a new system for automated scoring of graph construction items that address complex science concepts, feature qualitative prompts, and support a range of possible solutions. This system utilizes analysis of spatial features (e.g., slope of a line) to evaluate potential student ideas represented within graphs. Student ideas are then…
Descriptors: Scoring, Graphs, Scientific Concepts, Prompting
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Ruiz-Primo, Maria Araceli; Li, Min; Tsai, Shin-Ping; Schneider, Julie – Journal of Research in Science Teaching, 2010
In this study, we analyzed the quality of students' written scientific explanations found in notebooks and explored the link between the quality of the explanations and students' learning. We propose an approach to systematically analyzing and scoring the quality of students' explanations based on three components: claim, evidence to support it,…
Descriptors: Performance Based Assessment, Multiple Choice Tests, Science Instruction, Thinking Skills