<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The wide application of virtual reality technology has brought opportunities for teaching ideology and politics, breaking traditional education’s time and space limitations. This paper proposes an automatic three-dimensional modeling technology model, combined with computer vision camera imaging principles, to optimize the amount of data and improve optimization efficiency. And on this basis, it further proposes the Civics virtual scene construction technology, combined with the improved QEM grid simplification algorithm of edge segmentation, to optimize the virtual scene by simplifying the complex three-dimensional grid model. The experimental group’s students have shown good acceptance of this teaching method when teaching Civics in VR venues. In the cognitive and knowledge level of Civics learning, there is a significant difference between the experimental group and the control group in the dimensions of value identity and knowledge retention (P&lt;0.05), and the mean value in the dimension of value identity is as high as 4.55, which is a very significant difference from the control class (P&lt;0.01). And in the experiential feedback of Civics learning, the students in the experimental group have a greater sense of scene realism than the students in the control group (P&lt;0.01), a stronger sense of realism of the interactive experience in learning (P&lt;0.05), a higher degree of concentration in learning (P&lt;0.01), and a more minor degree of interference by the external environment (P&lt;0.01).</p>
</abstract>

The wide application of virtual reality technology has brought opportunities for teaching ideology and politics, breaking traditional education’s time and space limitations. This paper proposes an automatic three-dimensional modeling technology model, combined with computer vision camera imaging principles, to optimize the amount of data and improve optimization efficiency. And on this basis, it further proposes the Civics virtual scene construction technology, combined with the improved QEM grid simplification algorithm of edge segmentation, to optimize the virtual scene by simplifying the complex three-dimensional grid model. The experimental group’s students have shown good acceptance of this teaching method when teaching Civics in VR venues. In the cognitive and knowledge level of Civics learning, there is a significant difference between the experimental group and the control group in the dimensions of value identity and knowledge retention (P<0.05), and the mean value in the dimension of value identity is as high as 4.55, which is a very significant difference from the control class (P<0.01). And in the experiential feedback of Civics learning, the students in the experimental group have a greater sense of scene realism than the students in the control group (P<0.01), a stronger sense of realism of the interactive experience in learning (P<0.05), a higher degree of concentration in learning (P<0.01), and a more minor degree of interference by the external environment (P<0.01).

Exploration of Virtual Reality Technology Enabling Diversified Teaching Models of Civics and Politics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The wide application of virtual reality technology has brought opportunities for teaching ideology and politics, breaking traditional education’s time and...

Exploration of Virtual Reality Technology Enabling Diversified Teaching Models of Civics and Politics

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 19. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1034

Schlüsselwörter
Virtual reality technology, Automatic 3D modeling, QEM grid simplification algorithm, Civics teaching

© 2024 Lu Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Virtual Reality Technology Enabling Diversified Teaching Models of Civics and Politics

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 19. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1034

SchlüsselwörterVirtual reality technology, Automatic 3D modeling, QEM grid simplification algorithm, Civics teaching

© 2024 Lu Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Virtual reality technology, Automatic 3D modeling, QEM grid simplification algorithm, Civics teaching