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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Miller, R.: Crossing the cultural and value divide between health and social care. Int. J. Integr. Care 16(4), 10 (2016)
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)
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)
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)
Hopkins, W.E., Scott, S.G.: Values-based leadership effectiveness in culturally diverse workplaces. Cross Cult. Strategic Manage. 23(2), 363–385 (2016)
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)
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)
Hung, H.-T.: The integration of a student response system in flipped classrooms. Lang. Learn. Technol. 21(1), 16–27 (2017)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
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
DOI: https://doi.org/10.1007/978-3-030-43309-3_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43308-6
Online ISBN: 978-3-030-43309-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)