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Precipitating Change: Integrating Computational Thinking in Middle School Weather Forecasting

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Abstract

The Precipitating Change Project was a 5-year development, implementation, and research study of an innovative 4-week middle school curricular unit in computational weather forecasting that integrates students’ learning and use of meteorology and computational thinking (CT) concepts and practices. The project produced a list of CT skills and definitions that students use to predict the weather, CT assessment instruments, and a CT classroom observation protocol. Data was collected from 306 eighth grade (ages 13–14) students in rural indigenous communities in the Artic and urban and suburban Northeast communities in the USA. The project met its goal of producing an intentional instructional sequence that integrates disciplinary science and CT practices to increase students’ science knowledge and their ability to use CT skills and processes. The results indicate that teachers were able to use the curriculum to embed CT practices into the classroom. Students, in turn, had the opportunity to practice using these skills in class discussion as evidenced by the classroom observation data, and students’ science knowledge of CT content and practices significantly increased as evidenced by their performance on the weather content and CT skills pre- and post-assessments. While statistically significant gains in science knowledge and CT skills and practices were evident in all settings (urban, suburban, and rural indigenous communities), there were noticeable differences in gains in students’ CT skills and practices between the three settings and additional research is needed in a diversity of settings to understand this difference.

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Data Availability

All data generated or analyzed during this study are included in this published article or are available by contacting the corresponding author.

Material Availability

The CT assessment designed for use in this study is available in Appendix A.

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Funding

This material is based upon work supported by the National Science Foundation under Grant No. DRL-1640088. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Contributions

N. M-D. designed and facilitated this research, analyzed the data, and wrote the first draft of the manuscript; R.B-K. facilitated data analysis and revised the manuscript; M. B. designed the curriculum in this research including the CT Toolkit; E. H. revised the manuscript, and C. S. built connections with the schools and managed the project. All authors read and approved the final manuscript.

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Correspondence to Nanette I. Marcum-Dietrich.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the Institutional Review Board, Millersville University.

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All participants were voluntarily engaged in this research, and all the participants’ parents or guardians signed the study consent forms for their participation. All participants took part in the study voluntarily and they could withdraw from the study at any time.

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Marcum-Dietrich, N.I., Bruozas, M., Becker-Klein, R. et al. Precipitating Change: Integrating Computational Thinking in Middle School Weather Forecasting. J Sci Educ Technol (2024). https://doi.org/10.1007/s10956-024-10095-y

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