Messy Data, Real Science: Exploring Harmful Algal Blooms with Real-World Data

Autor/inn/en	Hammett, Amy; Dorsey, Chad
Titel	Messy Data, Real Science: Exploring Harmful Algal Blooms with Real-World Data
Quelle	In: Science Teacher, 87 (2020) 8, S.40-48 (9 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0036-8555
Schlagwörter	Data Analysis; Problem Solving; Student Projects; Active Learning; Science Instruction; Teaching Methods; Authentic Learning; Plants (Botany); Oceanography; Water Quality; Measurement; Guidelines; Science Experiments; Graphs; Safety + Suchen Sie Ihr Suchwort? Auswertung; Problemlösen; Schulprojekt; Aktives Lernen; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Teaching method; Lehrmethode; Unterrichtsmethode; Pflanze; Ozeanografie; Wasserqualität; Messverfahren; Richtlinien; Grafische Darstellung; Sicherheit
Abstract	To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend themselves well to project-based learning approaches and are great opportunities for integration across subject areas. Perhaps most critically, they begin with a question of genuine interest to learners and genuine connection to the world at large. For purposes of illustration, the authors choose one such topic--the frequency of harmful algal blooms (HABs) in waters within and around the United States. The topic of HABs is a good example of a subject primed for data-centered inquiry. Problems caused by HABs are highly relevant across the United States, and thus are of potential interest to students in many different locales. In this article, the authors provide some basic guidelines to help ensure that teachers and their students are headed in the right direction for data-rich investigations. (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