Skip to main content

Design and Development of Intelligent Teaching System Supported by Internet of Things, VR and Cloud Computing

  • Conference paper
  • First Online:
  • 1008 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1146))

Abstract

With the continuous development of network information technology and education, China’s education model has begun to transform and upgrade, people pay more and more attention to the establishment of interactive teaching model. The establishment of the interactive teaching model is based on the intelligent teaching system. The development and application of the intelligent teaching system reflects the progress of the education model, which can effectively strengthen the mutual communication between teachers and students and improve students’ learning initiative. Based on this, the design and development of a set of intelligent teaching system supported by Internet of things, VR and cloud computing has become the inevitable requirement of the transformation of education model and the inevitable trend of education development. The purpose of this paper is to accelerate the development process of the intelligent teaching system and promote the transformation and upgrading of China’s education model through the research on the design and development of the intelligent teaching system. In this paper, related concepts such as Internet of things, VR and cloud computing are firstly summarized, combined with relevant research data, and specific ideas for the development and design of intelligent teaching system are proposed. Finally, the operation of this teaching system is tested and tested by means of comprehensive data processing algorithm. The experiments in this paper show that the intelligent teaching system is reliable and scientific, and can promote the transformation of teaching mode.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Gao, W.W., Wang, J.H., Li, X.F.: Design of intelligent teaching system based on data mining technology. Adv. Mater. Res. 12(7), 834–836 (2017)

    Google Scholar 

  2. Wu, L.: Student model construction of intelligent teaching system based on Bayesian network. Pers. Ubiquitous Comput. 13(4), 114 (2019)

    Google Scholar 

  3. Ding, H.-Y.: Main Computational Intelligence technology and it’s application in intelligent teaching system. J. Yunnan Univ. 13(7), 1–2 (2017)

    Google Scholar 

  4. Sanchez-Guerrero, L., Laureano-Cruces, A.L., Ramirez-Rodriguez, J., et al.: Usability in a visual interface of an intelligent teaching system. PVLDB 17(8), 132–137 (2017)

    Google Scholar 

  5. Shen, Q., Fong, P.S.W., Deng, M.Z.M.: Developing an intelligent system for teaching pre-tender cost estimating of office building projects. Comput. Appl. Eng. Educ. 9(1), 26–36 (2017)

    Article  Google Scholar 

  6. Cao, J., Wei, X.: The study on constructing the teaching system of the generic cabling course for the intelligent building major. In: Lecture Notes in Electrical Engineering, vol. 111, no. 15, pp. 99–105 (2017)

    Google Scholar 

  7. Wang, R., Dong, H., Han, T.X.: Robust tracking via monocular active vision for an intelligent teaching system. Vis. Comput. 32(11), 1379–1394 (2017)

    Article  Google Scholar 

  8. Perikos, I., Grivokostopoulou, F., Hatzilygeroudis, I.: Assistance and feedback mechanism in an intelligent tutoring system for teaching conversion of natural language into logic. Int. J. Artif. Intell. Educ. 32(15), 413–415 (2018)

    Google Scholar 

  9. Cai, S.P., Zhao, T.: Study on an intelligent teaching dynamic balance technology. Appl. Mech. Mater. 11(16), 483 (2017)

    Google Scholar 

  10. Chen, L., Chen, Y., Zhang, H.: The theory of education informationization towards intelligent education. Mod. Educ. Technol. 12(5), 171–173 (2017)

    Google Scholar 

  11. Ren, Z., Xu, X., Wan, J.: Workload analysis, implications, and optimization on a production Hadoop cluster: a case study on Taobao. IEEE Trans. Serv. Comput. 7(2), 307–321 (2017)

    Article  Google Scholar 

  12. Rosenbaum, S., Ramey, J.: Current issues in assessing and improving information usability. In: Conference on Human Factors in Computing Systems, vol. 17, no. 6, pp. 114–116 (2017)

    Google Scholar 

  13. Wu, T.-S., Lu, Y.-Y.: The optimization of GUI hardware acceleration on embedded Linux system. Comput. Eng. Appl. 40(33), 112–115 (2017)

    Google Scholar 

Download references

Acknowledgements

2018 Jiangxi Provincial Department of Education Science and Technology Project, project number: GJJ181549, project name: VR cloud integrated intelligent teaching system based on Internet of Things.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianlan Ren .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ren, J. (2020). Design and Development of Intelligent Teaching System Supported by Internet of Things, VR and Cloud Computing. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_80

Download citation

Publish with us

Policies and ethics