No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Plumbdads and Quarkles: Discussing Modeling Trends with Students Using Fictional Parameters
1. Saalih Allie, Andy Buffler, Bob Campbell, Fred Lubben, Dimitris Evangelinos, Dimitris Psillos, and Odysseas Valassiades, “Teaching measurement in the introductory physics laboratory,” Phys. Teach. 41, 394–401 (Oct. 2003).
3. Rebecca Lippmann Kung, “Teaching the concepts of measurement: An example of a concept-based laboratory course,” Am. J. Phys. 73, 771–777 (Aug. 2005).
5. “How Experts Differ from Novices,” in How People Learn: Brain, Mind, Experience, and School: Expanded Edition, edited by J. D. Bransford, A. L. Brown, and R. R. Cocking (National Academies Press, Washington, D.C., 2000), pp. 29–50.
6. Matthew d'Alessio and Loraine Lundquist, “Computer Supported Collaborative Rocketry: Teaching students to distinguish good and bad data like expert physicists,” Phys. Teach. 51, 424–427 (Oct. 2013).
Article metrics loading...
Helping students develop an understanding of how to interpret experimental data trends is an important part of the introductory physics laboratory. Unfortunately, many of my colleagues have lamented that too many of their students do this poorly. This is a common refrain, and past research has already revealed student difficulties with measurement, uncertainty, and the overall meaning of data.1–3 Like many instructors, I prefer discovery-style labs and in many laboratory investigations students are asked to use curve-fitting tools to discover a relationship.4 But one day in lab, I began to wonder if students were looking at data and curve fitting in a way profoundly different than scientists. Research already indicates significant differences,5,6 but to get a clearer understanding of how students would treat general data, a hypothetical set of data using fictional parameters (plumbdads and quarkles) was given to first day students.
Full text loading...
Most read this month