Author
Listed:
- Cacilda H. Chivai
(Department of Construction Design, Faculty of Engineering and Technology, Pedagogical University of Maputo, Maputo 4040, Mozambique)
- Armando A. Soares
(University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
EES-INEGI/LAETA, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal)
- Paula Catarino
(University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
CIDTFF—Research Centre on Didactics and Technology in the Education of Trainers, 3810-193 Aveiro, Portugal)
Abstract
Technologies came to revolutionize the teaching of technical design; they brought resources that enabled 3D and 2D graphic simulation. The objective of this research is to understand how the implementation of the dynamic software GeoGebra on the topic of cylindrical sections can improve 3D spatial visualization in students because of the challenges in understanding the 3D representations and transporting them to the 2D sheet. This is a quasi-experimental case study in a mixed qualitative and quantitative approach which was conducted in a grade 12 class on the subject of descriptive geometry. The instruments used were a pre-test, post-test and Santa Barbara Solids Test. The students of the experimental group used GeoGebra and obtained better results in the post-test than the students in the control group, which suggests an improvement in learning; however, the Santa Barbara Solids Test results showed that the difficulties in visualizing views of the projected solids in a two-dimensional plane persisted. This study is also intended to test software in a classroom with students who have never experienced a 3D technology in their educational practices and direct future research in the complex content of descriptive geometry with the help of software.
Suggested Citation
Cacilda H. Chivai & Armando A. Soares & Paula Catarino, 2022.
"Application of GeoGebra in the Teaching of Descriptive Geometry: Sections of Solids,"
Mathematics, MDPI, vol. 10(17), pages 1-15, August.
Handle:
RePEc:gam:jmathe:v:10:y:2022:i:17:p:3034-:d:895195
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