Context matters: Secondary science teachers' integration of process‐based, unplugged computational thinking into science curriculum

Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill‐defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling procedure, 1195 students from two universities were surveyed. A structural equation modeling analysis showed that students' thinking styles and STEM attitudes directly predicted their computational thinking skills and that thinking styles mediated the relationship between STEM attitudes and computational thinking skills. Thinking styles and STEM attitudes are strong predictors of CT skills. Based on the results, we recommended that the conceptualization of CT be broadened to reflect its trans‐disciplinary nature within the context of STEM education. This study adds to the limited theoretical understanding of CT and CT‐predictors in higher education, which has been studied much less than in K‐12 education.

Section: Theoretical Contributionsmentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

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confidence: 99%

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How do thinking styles and STEM attitudes have effects on computational thinking? A structural equation modeling analysis

Jiang,

Islam,

et al. 2023

Computational Thinking for Science: Positioning coding as a tool for doing science

Krakowski,

Greenwald,

Roman

et al. 2023

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 science practice and to support inclusive engagement in science pathways. In this multimethods study, we present evidence for the Computational Thinking for Science (CT+S) instructional model designed to support broader participation in science, technology, engineering, and mathematics (STEM) pathways by (1) providing opportunities for students to learn CT within the regular school day, in core science classrooms; and (2) by reframing coding as a tool for developing solutions to compelling real‐world problems. We present core pedagogical strategies employed in the CT+S instructional model and describe its implementation into two 10‐lesson instructional units for middle‐school science classrooms. In the first unit, students create computational models of a coral reef ecosystem. In the second unit, students write code to create, analyze, and interpret data visualizations using a large air quality dataset from the United States Environmental Protection Agency to understand, communicate, and evaluate solutions for air quality concerns. In our investigation of the model's implementation through these two units, we found that participating students demonstrated statistically significant advancements in CT, competency beliefs for computation in STEM, and value assigned to computation in STEM. We also examine evidence for how the CT+S model's core pedagogical strategies may be contributing to observed outcomes. We discuss the implications of these findings and propose a testable theory of action for the model that can serve future researchers, evaluators, educators, and instructional designers.

Secondary science teachers' conceptualizations and modifications to support equitable participation in a co‐designed computational thinking lesson

Levy,

Peel,

Zhao

et al. 2024

Increasing access to computational ideas and practices is one important reason to integrate computational thinking (CT) in science classrooms. While integrating CT into science classrooms broadens exposure to computing, it may not be enough to ensure equitable participation in the science classroom. Equitable participation is crucial because providing students with an environment in which they are able to fully engage and participate in science and computing practices empowers students to learn and continue pursuing CT and science. To foreground equitable participation in CT‐integrated curricula, we undertook a research project in which researchers and teachers examined teacher conceptualizations of equitable participation and how teachers design for equitable participation by modifying a lesson that introduces computational modeling in science. The following research questions guided the study: (1) What are teachers' conceptualizations of equitable participation? (2) How do teachers design for equitable participation through co‐design of a CT‐integrated unit? Our findings suggest that teachers conceptualized and designed for equitable participation in the context of a CT‐integrated curriculum across three primary dimensions: accessibility, inclusion, and relevancy. Our contributions to the field of science teaching and learning are twofold: (1) obtaining an initial understanding of how teachers think about and design for equitable participation is crucial in order to support teachers in their pursuit of creating equitable learning experiences for CT and science learners, and (2) our findings show that we can study teacher conceptualizations and their design choices by examining specific modifications to a CT‐integrated science curriculum. Implications are discussed.