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| Autor/inn/en | Arastoopour Irgens, Golnaz; Dabholkar, Sugat; Bain, Connor; Woods, Philip; Hall, Kevin; Swanson, Hillary; Horn, Michael; Wilensky, Uri |
|---|---|
| Titel | Modeling and Measuring High School Students' Computational Thinking Practices in Science |
| Quelle | In: Journal of Science Education and Technology, 29 (2020) 1, S.137-161 (25 Seiten)Infoseite zur Zeitschrift
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| Zusatzinformation | ORCID (Arastoopour Irgens, Golnaz) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1059-0145 |
| DOI | 10.1007/s10956-020-09811-1 |
| Schlagwörter | Thinking Skills; Biology; Scores; Pretests Posttests; Science Instruction; Units of Study; High School Students; Discourse Analysis; Computer Science Education |
| Abstract | Despite STEM education communities recognizing the importance of integrating computational thinking (CT) into high school curricula, computation still remains a separate area of study in K-12 contexts. In addition, much of the research on CT has focused on creating generally agreed-upon definitions and curricula, but few studies have empirically tested assessments or used contemporary learning sciences methods to do so. In this paper, we outline the implementation of an assessment approach for a 10-day high school biology unit with computational thinking activities that examines student pre-post responses as well as responses to embedded assessments throughout the unit. Using pre-post scores, we identified students with both positive and negative gains and examined how each group's CT practices developed as they engaged with the curricular unit. Our results show that (1) students exhibited science and computational learning gains after engaging with a science unit with computational models and (2) that the use of embedded assessments and discourse analytics tools reveals how students think differently with computational tools throughout the unit. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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