Data Science Meets Science Teaching

Autor/inn/en	Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie
Titel	Data Science Meets Science Teaching
Quelle	In: Science Teacher, 89 (2022) 3, S.64-69 (6 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0036-8555
Schlagwörter	Data Analysis; Science Instruction; High School Teachers; Science Teachers; Computer Science Education; Faculty Development; Teacher Workshops; Computer Simulation; Scaffolding (Teaching Technique); Open Source Technology; Clubs; Diseases; COVID-19; Pandemics; Injuries; Maine; New Hampshire; Massachusetts + Suchen Sie Ihr Suchwort? Auswertung; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; High school; High schools; Teacher; Teachers; Oberschule; Lehrer; Lehrerin; Lehrende; Science; Science teacher; Wissenschaft; Computer science lessons; Informatikunterricht; Computergrafik; Computersimulation; Club; Klub; Disease; Krankheit; Master-Studiengang
Abstract	The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have been implementing the NSF-funded "Data Clubs" project to examine using data sets on topics such as ticks and Lyme disease, COVID-19, and sports and leisure injuries. Much of this work takes place with youth in out-of-school settings. In addition to developing modules for youth, the authors worked with a group of 18 high school science and computer science teachers from Maine, New Hampshire, and Massachusetts who participated in a virtual 15-hour workshop series on data science education over the summer of 2020. The goal of the workshop was to introduce teachers to real and complex data sets, models for scaffolding learning, and tools for working with those data sets. In this article the authors share some of the key findings from this effort. (ERIC).
Anmerkungen	National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01