Abstract
The current online teaching platform function module of career guidance course is generally one-way structure, and the efficiency of teaching resources acquisition is low, which leads to the extension of the response time of the platform. Therefore, the design and verification analysis of online teaching platform of career guidance course based on virtual reality is proposed. According to the actual platform application requirements and standards, build an ARM data processor, access the S3C4510B information storage chip, and complete the design of system hardware. Next, we will first analyze the teaching needs of career guidance courses, improve the efficiency of obtaining career guidance teaching resources in a multi-level way, realize the design of virtual reality multi-level functional teaching modules, associate intelligent virtual databases, and complete the design of platform software. The final test results show that the response time of the teaching platform finally obtained through the test and comparison of five classes has been controlled within 2s, indicating that with the assistance and support of virtual reality technology, the teaching efficiency of the platform has been significantly improved, with stronger pertinence and stability, and great practical application value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Phattanawasin, P., Toyama, O., Rojanarata, T., et al.: Students’ perspectives and achievements toward online teaching of medicinal chemistry courses at pharmacy school in Thailand During the COVID-19 pandemic. J. Chem. Educ. 10, 98 (2021)
Deniz, S., Mueller, U.C., Steiner, I., et al.: Online (Remote) teaching for laboratory based courses using “digital twins” of the experiments. J. Eng. gas Turbines and Power: Transactions of the ASME 5, 144 (2022)
Yalagi, P.S., Dixit, R.K., Nirgude, M.A.: Effective use of online teaching-learning platform and MOOC for virtual learning. J. Physics: Conference Series 1854(1), 012019 (8 pp) (2021)
Ye, L., Zhong, J.: Study on blended teaching in principles of chemical engineering based on cloud platform. IOP Conference Series: Earth and Environmental Science 693(1), 012027 (6pp) (2021)
Wang, S., Sun, T., Qu, X., et al.: Online education of atomic physics based on MOOC platform. J. Physics: Conference Series 1881(3), 032009 (5pp) (2021)
Sun, N., Wang, Y., Liu, Y.: The application of cloud class in the teaching of biochemistry. IOP Conference Series: Earth and Environmental Science 692(3), 032033 (6pp) (2021)
Wei, Y.: Exploration and research on the mixed teaching mode of basic Japanese course under the background of information technology. J. Phys. Conf. Ser. 1852(4), 042032 (2021)
Narayanan, R., Mathew, P.: Teaching international english language testing system (IELTS) academic writing and exam strategies online to develop omani students’ writing proficiency. Arab World English J. 2(2), 49–63 (2021)
Liu, X., Gao, F., Jiao, Q.: Massive open online course fast adaptable computer engineering education model. Complexity 2021(1), 1–11 (2021)
Wang, H., Yang, Z.: Research on digital virtual reproduction simulation of local micro damage in venues. Computer Simulation 39(11), 5 (2022)
Cui, H., Cheng, M.: Digital media art teaching strategy based on virtual reality technology. J. Shanxi University of Finance and Economics 44(S2), 125–127 (2022)
Wang, S., Jiang, Z.: A multiplayer online teaching system based on virtual reality live streaming. Computer Applications and Software 39(10), 132–140 (2022)
Wang, H., Wang, Z.: Design of simulation teaching system based on virtual reality. Computer Simulation 39(04), 205–209 (2022)
Li, X., Wang, Y., Wang, G.: Implementation of a digital teaching factory based on digital twins and virtual reality. Automation Technology Appl. 40(09), 113–115 (2021)
Zhang, J., Wang, H., Ban, J.: Optimization design of vocal music teaching platform based on virtual reality system. Computer Simulation 38(06), 160–164 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, W. (2024). Online Teaching Platform of Career Guidance Course Based on Virtual Reality. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_30
Download citation
DOI: https://doi.org/10.1007/978-3-031-50549-2_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50548-5
Online ISBN: 978-3-031-50549-2
eBook Packages: Computer ScienceComputer Science (R0)