Skip to main content

Based on the Artificial Intelligence Technology in Higher Vocational English Major Students After-School Tutoring System Design Research

  • Conference paper
  • First Online:
Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1147))

  • 1271 Accesses

Abstract

In recent years, China has increased its investment in the information industry, and concepts such as Internet and cloud computing continue to attract widespread attention. The rapid development of computer technology as a result has brought convenience to our lives, especially in the education industry. The traditional English teaching in higher vocational colleges has always been inadequate. With the promulgation of relevant government policies, higher vocational colleges have gradually promoted the process of informationization of English teaching, and the application of artificial intelligence has brought a new way of English teaching in higher vocational colleges. In this context, based on the artificial intelligence technology and the curriculum goals as the foundation, combining to achieve higher vocational English teaching quality for the purpose, with the method of literature analysis combined with field survey to sorting and analysis of related research, and then try to design in higher vocational English major students after-school tutoring system, and study its specific conditions and environment, to promote higher vocational English major students’ English learning level, the optimization of high vocational English teaching way and the effect.

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 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

Institutional subscriptions

References

  1. Miller, R.: Crossing the cultural and value divide between health and social care. Int. J. Integr. Care 16(4), 10 (2016)

    Article  Google Scholar 

  2. Shi, Y., Sedikides, C., Cai, H.: Disowning the self: the cultural value of modesty can attenuate selfpositivity. Q. J. Exp. Psychol. 70(6), 1023–1032 (2017)

    Article  Google Scholar 

  3. Akkari, A., Bauer, S., Radhouane, M.: Do teachers coming from diverse ethno-cultural backgrounds represent an added value for the profession? Findings of a study conducted in French-speaking Switzerland. Educ. Pract. Theory 39(1), 69–89 (2017)

    Article  Google Scholar 

  4. Gooch, R., Saito, K., Lyster, R.: Effects of recasts and prompts on second language pronunciation development: teaching English /r/ to Korean adult EFL learners. System 2016(60), 117–127 (2016)

    Article  Google Scholar 

  5. Hopkins, W.E., Scott, S.G.: Values-based leadership effectiveness in culturally diverse workplaces. Cross Cult. Strategic Manage. 23(2), 363–385 (2016)

    Article  Google Scholar 

  6. VanLehn, K., Wetzel, J., Grover, S.: Learning how to construct models of dynamic systems: an initial evaluation of the dragoon intelligent tutoring system. IEEE Trans. Learn. Technol. 10(2), 154–167 (2017)

    Article  Google Scholar 

  7. Yan, K.: The construction and application of the corpus system in primary school English classroom: taking Hainan Province as an example. J. Comput. Theor. Nanosci. 13(12), 10385–10390 (2016)

    Article  Google Scholar 

  8. Hung, H.-T.: The integration of a student response system in flipped classrooms. Lang. Learn. Technol. 21(1), 16–27 (2017)

    MathSciNet  Google Scholar 

  9. Li, M.: Example-based learning using heuristic orthogonal matching pursuit teaching mechanism with auxiliary coefficient representation for the problem of de-fencing and its affiliated applications. Appl. Intell. 48(9), 2884–2893 (2018)

    Article  Google Scholar 

  10. Albert, S.T., Shadmehr, R.: The neural feedback response to error as a teaching signal for the motor learning system. J. Neurosci. Off. J. Soc. Neurosci. 36(17), 4832–4845 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rong Li .

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

Li, R. (2020). Based on the Artificial Intelligence Technology in Higher Vocational English Major Students After-School Tutoring System Design Research. 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 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_80

Download citation

Publish with us

Policies and ethics