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

<p>With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&amp;A is integrated with virtual technology to create a virtual classroom in this paper. In the process of constructing the virtual classroom, the most crucial terrain modeling is completed using image drawing technology, and the general framework of the virtual classroom is obtained. BERT matches the possible statements in the Q&amp;A system, starting with text recognition. The hypotheses related to the virtual scene are proposed. The validity of the hypotheses is verified, and the effect of using the teaching system is analyzed from three aspects, namely, learning satisfaction, professional course grades, and lecture effect. The results showed that the perceived usefulness of the teaching system had the most significant impact on student’s attitudes toward its use, with a regression coefficient of 0.6452 and a p-value of less than 0.01, and the hypotheses were all valid. The head-up rates of students in the two majors were 56.4061% and 70.2056%, respectively, which ranged from 50% to 75%. The evaluation grade was “good,” and the overall performance of the simulation teaching system was good.</p>
</abstract>

With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&A is integrated with virtual technology to create a virtual classroom in this paper. In the process of constructing the virtual classroom, the most crucial terrain modeling is completed using image drawing technology, and the general framework of the virtual classroom is obtained. BERT matches the possible statements in the Q&A system, starting with text recognition. The hypotheses related to the virtual scene are proposed. The validity of the hypotheses is verified, and the effect of using the teaching system is analyzed from three aspects, namely, learning satisfaction, professional course grades, and lecture effect. The results showed that the perceived usefulness of the teaching system had the most significant impact on student’s attitudes toward its use, with a regression coefficient of 0.6452 and a p-value of less than 0.01, and the hypotheses were all valid. The head-up rates of students in the two majors were 56.4061% and 70.2056%, respectively, which ranged from 50% to 75%. The evaluation grade was “good,” and the overall performance of the simulation teaching system was good.

Design of intelligent simulation teaching system for college professional courses based on virtual scene

Key Laboratory of animal pathogen infection and Immunology of Fujian Province, College of Animal Sciences

Fujian Agriculture and Forestry University

Applied Mathematics and Nonlinear Sciences

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

With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education....

Design of intelligent simulation teaching system for college professional courses based on virtual scene

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 21. Jan. 2024

Akzeptiert: 03. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1120

Schlüsselwörter
Image drawing technology, Virtual scene modeling, BERT preprocessing, Simulation teaching system

© 2024 Yanmei Ma, et al., published by Sciendo

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

Design of intelligent simulation teaching system for college professional courses based on virtual scene

Online veröffentlicht: 15. Mai 2024

Seitenbereich: -

Eingereicht: 21. Jan. 2024

Akzeptiert: 03. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1120

SchlüsselwörterImage drawing technology, Virtual scene modeling, BERT preprocessing, Simulation teaching system

© 2024 Yanmei Ma, et al., published by Sciendo

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

Schlüsselwörter
Image drawing technology, Virtual scene modeling, BERT preprocessing, Simulation teaching system