Abstract: In order to improve the low precision of the current immersive experience effect assessment method, a virtual reality Civics practice teaching immersive experience effect assessment method with enterprise development optimisation algorithm and mixed kernel extreme learning machine is proposed. Firstly, we analyse the current status of research on virtual reality Civic and political practice teaching, design the idea of assessing the application of VR technology in Civic and political practice teaching, extract the relevant assessment features, and construct the effect assessment system; secondly, we use the enterprise development optimization algorithm to optimize the parameters of the mixed kernel extreme learning machine, and construct the immersive experience effect assessment model; finally, we use the data of Civic and political practice teaching based on VR technology to verify and analyse the proposed model. The results show that the proposed model effectively improves the assessment accuracy of the immersive experience effect assessment method and achieves a higher precision of the Civic and political practice teaching effect assessment.

Hao Qin, Yangqing Zhang and Jiali Wei, “Virtual Reality (VR) Technology in Civics Practice Teaching Evaluating the Effect of Immersive Experience” International Journal of Advanced Computer Science and Applications(IJACSA), 16(3), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160350

@article{Qin2025,
title = {Virtual Reality (VR) Technology in Civics Practice Teaching Evaluating the Effect of Immersive Experience},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160350},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160350},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {3},
author = {Hao Qin and Yangqing Zhang and Jiali Wei}
}