'Big Data' in Physics Education: Discovering the Stick-Slip Effect through a High Sample Rate

Autor/inn/en	Benz, Gregor; Buhlinger, Carsten; Ludwig, Tobias
Titel	'Big Data' in Physics Education: Discovering the Stick-Slip Effect through a High Sample Rate
Quelle	In: Physics Education, 57 (2022) 4, Artikel 045004 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Benz, Gregor) ORCID (Ludwig, Tobias)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0031-9120
Schlagwörter	Physics; Science Instruction; Learning Analytics; Data Analysis; Sample Size; Laboratory Experiments; Measurement + Suchen Sie Ihr Suchwort? Physik; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Auswertung; Laboratory work; Laborarbeit; Messverfahren
Abstract	With the availability of educational digital data acquisition systems, it has also become possible in physics education to generate 'big' data sets by (a) measuring multiple variables simultaneously, (b) increasing the sample rate, (c) extending the measurement duration, or (d) choosing a combination among these three options. In the context of this paper, we will use a simple acceleration experiment to show that a higher sample rate, resulting in a larger data set, quantitatively reveals the stick-slip effect. For this purpose, two variables are measured simultaneously, first with a low and then with a high sample rate. The purpose of this paper is to illustrate that dealing with 'big' data sets can add value to experimentation in physics labs by dealing with data sets that more accurately describe observations. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01