Service interruption: Realtime availability, "I Want It," and My Account will be briefly offline on 8/18/22 from 1-1:30pm.

Export to Refworks Export to EndNote Email
Report an Issue

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)
Access Online

Availability

I Want It

Finding items...

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
View MARC record | catkey: 33183707