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<p>In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Combined with the gesture recognition and training of Adaboost classifier, this paper proposes an innovative interaction model for virtual Civics and Politics teaching. Through in-depth Analysis of the virtual interactive teaching elements of Civics courses in colleges and universities, this study conducted a covariance analysis of the aspects of creativity, critical thinking, metacognition, self-efficacy, and scientific ideological reasoning. Then it explored the effects of different places of origin and types of schools on the acceptance of virtual Civics courses by the students. It was found that among the science and engineering and teacher training students, the science and engineering students paid more attention to the virtual Civics teaching (3.36 and 3.05, respectively). In addition, compared with traditional Civics teaching, virtual practice teaching significantly increased students’ motivation (3.79), proving that Civics courses incorporating virtual interaction design have significant advantages in improving learning attractiveness.</p>
</abstract>

In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Combined with the gesture recognition and training of Adaboost classifier, this paper proposes an innovative interaction model for virtual Civics and Politics teaching. Through in-depth Analysis of the virtual interactive teaching elements of Civics courses in colleges and universities, this study conducted a covariance analysis of the aspects of creativity, critical thinking, metacognition, self-efficacy, and scientific ideological reasoning. Then it explored the effects of different places of origin and types of schools on the acceptance of virtual Civics courses by the students. It was found that among the science and engineering and teacher training students, the science and engineering students paid more attention to the virtual Civics teaching (3.36 and 3.05, respectively). In addition, compared with traditional Civics teaching, virtual practice teaching significantly increased students’ motivation (3.79), proving that Civics courses incorporating virtual interaction design have significant advantages in improving learning attractiveness.

Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology

Applied Mathematics and Nonlinear Sciences

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

In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and...

Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 10. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0387

Schlüsselwörter
LOD model, Texture mapping technology, Gesture recognition, Virtual interaction, College civics class

© 2024 Xiaochen Yuan, published by Sciendo

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

Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 10. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0387

SchlüsselwörterLOD model, Texture mapping technology, Gesture recognition, Virtual interaction, College civics class

© 2024 Xiaochen Yuan, published by Sciendo

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

Schlüsselwörter
LOD model, Texture mapping technology, Gesture recognition, Virtual interaction, College civics class