Skip to main content

Design of English and American Literature Online Learning System Based on Android

  • Conference paper
  • First Online:
Multimedia Technology and Enhanced Learning (ICMTEL 2023)

Abstract

In order to improve the user response rate and maintain the stability of the online learning host, an online learning system for British and American literature based on Android is designed. From the perspective of user behavior and use case structure, the learning needs of the accessed user objects are analyzed, and based on this, a learning behavior model is established. Using Java programming language, debug the operation mode of the technical architecture, and combine functional modules at all levels to complete the design of the online learning system for English and American literature based on Android. The comparative experimental results show that with the application of the Android based online learning system, the user response rate has been increased to 15.9 bit/ms, and the stable running time of the learning host has been fully extended, which can play a role in promoting the stability of the online learning host.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Tabassum, F., Akram, N., Moazzam, M.: Online learning system in higher education institutions in Pakistan: investigating problems faced by students during the COVID-19 pandemic. Int. J. Web-Based Learn. Teach. Technol. 17(2), 1–15 (2022)

    Article  Google Scholar 

  2. Mu, W.: Research on the construction of multimedia assisted classroom education mode of British and American literature course. J. Phys.: Conf. Ser. 1915(4), 42–53 (2021)

    Google Scholar 

  3. Falke, C.: Essentially the greatest poem: teaching new ways of reading American literature. Univ. Gothenburg Depart. Lang. Literat. 20(2), 283–301 (2021)

    Google Scholar 

  4. Chou, J.S., Truong, D.N., Le, T.L.: Interval forecasting of financial time series by accelerated particle swarm-optimized multi-output machine learning system. IEEE Access 8(1), 14798–14808 (2020)

    Article  Google Scholar 

  5. Yang, S.H., Wang, Y.Y., Lai, A.F., et al.: Development of a game-based e-learning system with augmented reality for improving students’ learning performance. Int. J. Eng. Educ. 2(1), 1–10 (2020)

    Article  Google Scholar 

  6. Ashiku, L., Dagli, C.: Network intrusion detection system using deep learning. Proc. Comput. Sci. 185(1), 239–247 (2021)

    Article  Google Scholar 

  7. Yan, W.S., Funabiki, N., Kuribayashi, M., et al.: A proposal of android programming learning assistant system with implementation of basic application learning. Int. J. Web Inf. Syst. 16(1), 115–135 (2020)

    Google Scholar 

  8. Sahboun, Y., Razak, N.A.: Adoption and usage of learning management system technologies among EFL students: factors and issues. Solid State Technol. 63(6), 11519–11531 (2020)

    Google Scholar 

  9. Saputro, B., Saerozi, M., Siswanta, J., et al.: Validation of learning management system (LMS) of E-problem-based learning based on scientific communication skill and plagiarism checker. Tech. Rep. Kansai Univ. 62(6), 3097–3113 (2020)

    Google Scholar 

  10. Kushwaha, P.S., Mahajan, R., Attri, R., et al.: Study of attitude of B-School faculty for learning management system implementation an Indian case study. Int. J. Dist. Educ. Technol. 18(2), 52–72 (2020)

    Article  Google Scholar 

  11. Wang, H., Wang, Z.: Design of simulation teaching system based on modular production and processing. Comput. Simulat. 39(4), 205–209 (2022)

    Google Scholar 

  12. Wang, D., Wei, B.: A small-sample image classification method based on a Siamese variational auto-encoder. CAAI Trans. Intell. Syst. 16(2), 254–262 (2021)

    Google Scholar 

  13. Qu, S., Wang, Y.: Research on habit search based on the block-chain storage of learning resources under neural network. China-Arab States Sci. Technol. Forum 9, 116–118 (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yaping Liang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

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

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liang, Y., Qi, D. (2024). Design of English and American Literature Online Learning System Based on Android. In: Wang, B., Hu, Z., Jiang, X., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-031-50571-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-50571-3_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50570-6

  • Online ISBN: 978-3-031-50571-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics