Article 2025

Research on optimization of multi-level feedback mechanism of virtual simulation technology in information teaching in vocational colleges

Journal of Computational Methods in Sciences and Engineering
Journal
Abstract

With rapid development of information technology, virtual simulation technology has gradually integrated into the teaching system of vocational colleges and has become an important means to improve teaching quality and effect. However, the existing teaching feedback mechanism is often single and lagging, and it is not easy to comprehensively and in real time reflect the teaching effect and students’ learning status. Therefore, this study aims to explore how virtual simulation technology can optimize the multi-level feedback mechanism in the information teaching of vocational colleges to realize the precise regulation and personalized guidance of the teaching process. Vocational colleges pay attention to cultivating practical skills, and virtual simulation technology can provide a working environment close to accurate, effectively making up for the shortcomings of traditional teaching. However, the lack of adequate feedback mechanism makes it difficult to maximize the teaching effect. This study constructed a multi-level feedback system based on virtual simulation technology, including three levels: real-time interactive feedback, phased evaluation feedback and comprehensive analysis feedback. In the experiment, we selected 1000 students and 50 teachers from three vocational colleges as the research objects and carried out a one-semester teaching practice. The experimental results show that after the introduction of a multi-level feedback mechanism, students’ academic performance has improved by 20% on average, their practical skills have improved by 25%, and their learning satisfaction has reached 90%. At the same time, teachers’ teaching efficiency has increased by 15%, and their teaching satisfaction has reached 95%. In addition, the accuracy rate of real-time feedback of the system reaches 88%, the accuracy rate of phased evaluation reaches 92%, and the accuracy rate of comprehensive analysis reaches 95%. Virtual simulation technology optimizes the multi-level feedback mechanism in information teaching of vocational colleges, which can significantly improve teaching and students’ learning effects, and provide strong support for innovation and development of vocational education. © The Author(s) 2025

Keywords

Author Keywords

Vocational colleges information teaching multi-level feedback mechanism virtual simulation technology

Index Keywords

E-learning Teaching Engineering education Apprentices Education computing Students Vocational colleges Virtual reality Multilevels Virtual simulations Simulation technologies Feedback control Accuracy rate Feedback mechanisms Information teaching Multi-level feedback mechanism Teaching effects Virtual simulation technology
Author Affiliations
Zhengzhou Health Vocational College, Zhengzhou, Henan 450122, China
Funding & Acknowledgements
No funding information
References 10 References
1 Zhang, Min, Virtual situated learning of spoken english based on computer simulation technology, International Journal of Emerging Technologies in Learning, 15, 4, pp. 206-217, (2020)
2 Zhang, Haibo, On the Mode of Enhanced VR Virtual Simulation Technology in the Field of Foreign Language Teaching, Advances in Multimedia, 2022, (2022)
3 Yang, Chao, Online Art Design Education System Based On 3D Virtual Simulation Technology, Journal of Internet Technology, 22, 6, pp. 1419-1428, (2021)
4 Luo, Xiaoxia, Practice of Artificial Intelligence and Virtual Reality Technology in College English Dialogue Scene Simulation, Wireless Communications and Mobile Computing, 2022, (2022)
5 Lin, Hui Chen, Fostering complex professional skills with interactive simulation technology: A virtual reality-based flipped learning approach, British Journal of Educational Technology, 54, 2, pp. 622-641, (2023)
6 Sun, Ping, Virtual simulation design and effect of high jump technology action optimization based on complex embedded system, Microprocessors and Microsystems, 81, (2021)
7 Ohnishi, Seiki, Virtual Reality System for Monte Carlo Transport Simulation Codes Using Web Technology and Commodity Devices, Nuclear Science and Engineering, 198, 2, pp. 508-516, (2024)
8 Nagy, Marek, Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems, Applied Sciences (Switzerland), 13, 3, (2023)
9 Wu, Zhenhua, Effectiveness of keyboard-based English vocabulary practice application on vocational school students, Interactive Learning Environments, 31, 5, pp. 3230-3243, (2023)
10 Wu, Fang, Exploration of the Construction Model of School-Business Collaboration System in Vocational Colleges Based on Information Resource Sharing, Scientific Programming, 2022, (2022)
Quick Actions
Full Text via DOI
Citation Metrics
0
Times Cited (Scopus)

References 10
Document Identifiers