Abstract
With the globalization development of educational informatization, information technologies such as Internet of Things, cloud computing and big data are constantly emerging. As the core and fundamental cornerstone of wisdom education, intelligent learning has come into people’s vision and received great attention from many foreign countries. However, the study of wisdom learning in China has just started. Based on this, this paper studies the further development of wisdom learning by combining the key technologies of virtual and real fusion and interactive operation. This paper firstly analyzes the research status of intelligent learning, discusses various interaction technologies, and proposes virtual and real interaction methods based on Kinect sensor instruction type and multi-channel type. These interaction methods can effectively control virtual objects and improve the stability, real-time and authenticity of the augmented reality interaction system. Then, this paper combined with the network learning platform to carry out an experiment on the scheme, the results show that the scheme effectively improves the learning efficiency of students in the network intelligent learning platform, the attendance rate increased by 11.27%.
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References
Esserman, L.J.: The WISDOM study: breaking the deadlock in the breast cancer screening debate. NPJ Breast Cancer 3(1), 34 (2017)
Owens, J.E., Menard, M., Plews-Ogan, M., et al.: Stories of growth and wisdom: a mixed-methods study of people living well with pain. Glob. Adv. Health Med. 5(1), 16–28 (2016)
Kumar, C., Mishra, M.K.: Operation and control of an improved performance interactive DSTATCOM. IEEE Trans. Industr. Electron. 62(10), 6024–6034 (2015)
Gunduz, H., Jayaweera, D.: Reliability assessment of a power system with cyber-physical interactive operation of photovoltaic systems. Int. J. Electr. Power Energy Syst. 101, 371–384 (2018)
Deihimi, A., Zahed, B.K., Iravani, R.: An interactive operation management of a micro-grid with multiple distributed generations using multi-objective uniform water cycle algorithm. Energy 106, 482–509 (2016)
Hesheng, W., Bohan, Y., Weidong, C.: Unknown constrained mechanisms operation based on dynamic interactive control. Caai Trans. Intell. Technol. 1(3), 259–271 (2016)
Acknowledgements
This work was supported by the project of Jilin Engineering Normal University: Key Technologies of Virtual Reality Fusion and Interactive Operation for Intelligent Learning in Network Environment.
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Wang, S., Yan, Y., Li, J., Zhai, Y. (2021). Key Technologies of Virtual Reality Fusion and Interactive Operation for Intelligent Learning in Network Environment. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_119
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DOI: https://doi.org/10.1007/978-3-030-62743-0_119
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