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Online Teaching Platform of Career Guidance Course Based on Virtual Reality

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Advanced Hybrid Information Processing (ADHIP 2023)

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.

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Correspondence to Weiwei Zhang .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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

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  • DOI: https://doi.org/10.1007/978-3-031-50549-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50548-5

  • Online ISBN: 978-3-031-50549-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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