Actions for Technology-Assisted Guided Discovery to Support Learning [electronic resource] : Investigating the Role of Parameters in Quadratic Functions

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Technology-Assisted Guided Discovery to Support Learning [electronic resource] : Investigating the Role of Parameters in Quadratic Functions / by Lisa Göbel

Author
Göbel, Lisa
Published
Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2021.
Edition
1st ed. 2021.
Physical Description
XXII, 280 pages 98 illustrations, 13 illustrations in color : online resource
Additional Creators
SpringerLink (Online service)
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Series
Contents
Introduction -- Theoretical Background -- Empirical study -- Results -- Conclusion -- Appendix.
Summary
Technology is becoming more and more integrated in mathematics teaching and the use of technology is explicitly demanded by the curricula. Technology can be for example integrated while conceptualizing parameters of quadratic functions. In this thesis three technical visualizations (classic function plotter, drag mode, and sliders) for the manipulation of parameters of quadratic functions shall be compared with an access without the possibility of technical visualization. For this purpose, a Guided Discovery environment was developed, which was conducted in an intervention study with 14 classes of grade 9 (N=383). Different strengths and weaknesses of the individual visualizations in favor of the dynamic visualizations by drag mode and slider are shown. Also, different potentials and constraints of the use of technology are visible, for example the students use the technology to test their own hypotheses that were generated through the use of technology. The author Lisa Göbel completed her dissertation as a research assistant under Prof. Dr. Bärbel Barzel in the Mathematics Education department at the University of Duisburg-Essen. Her interests include functional thinking and the use of technology in mathematics teaching.
Subject(s)
ISBN
9783658326371
Digital File Characteristics
PDF
text file
Part Of
Springer Nature eBook
View MARC record | catkey: 33183707