Abstract
At present, the increasingly mature big data technology and English reading teaching are gradually integrated. Based on the background of big data, this article explores the innovative teaching mode to improve the speed of English reading, clarify the advantages of big data technology in the field of English reading teaching, building a reading teaching platform, designing an effective monitoring mechanism, enriching the application strategies of English reading teaching, and achieving the purpose of improving teaching quality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abramson L, Garber J, Seligman MEP (1980) Learned helplessness in humans: an attributional. Analysis. In: Garber J, Seligman MEP (eds) Human helplessness. Academic Press, New York
Bachman LF (1990) Fundamental consideration in language testing. Oxford University Press
Barnes T, Boyer K, Sharon I et al (2017) Preface for the special issue on AI-supported education in computer science. Int J Artif Intell Educ 1
Black JW, Hast MH (1962) Speech reception with altering signal. J Speech Lang Hear Res 5(1):70–75
Chapelle C (2001) Computer applications in second language acquisition. Cambridge University Press
Davies J, Brember I (2001) The closing gap in attitudes between boys and girls: a five year longitudinal study. Educ Psychol 21:103–115
Goksel-Canbek N, Mutlu ME (2016) On the track of artificial intelligence: Learning with intelligent personal assistants. Int J Hum Sci 1:593–601
Holotescu C (2016) MOOCBuddy: a chatbot for personalized learning with MOOCs. In: Iftene A, Vanderdonckt J (eds) Proceedings of the international conference on human-computer interaction—Ro CHI 2016. Matrix Rom, Bucharest
Lecumberri MLG, Cooke M, Cutler A (2010) Non-native speech perception in adverse conditions: a review. Speech Commun 52(11):864–886
Mc Arthur D, Lewis M, Bishary M (2005) The roles of artificial intelligence in education: current progress and future prospects. J Educ Technol 4:42–80
Pinkwart N (2016) Another 25 years of AIED? Challenges and opportunities for intelligent educational technologies of the future. Int J Artif Intell Educ 2:771–783
Roll I, Wylie R (2016) Evolution and revolution in artificial intelligence in education. Int J Artif Intell Educ 2:582–599
Timms MJ (2016) Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. Int J Artif Intell Educ 2:701–710
Vail AK, Grafsgaard JF, Boyer KE et al (2016) Predicting learning from student affective response to tutor questions. In: International conference on intelligent tutoring systems. Springer International Publishing, 154–163
Woolf BP, Lane HC, Chaudhri VK et al (2013) AI grand challenges for education. AI Mag 4:61–84
Zimmerman BJ, Risemberg E (1997) Self-regulatory dimensions of academic learning and motivation. In: Phye GD (ed) Handbook of academic learning. Academic Press, pp 105–126
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, J. (2022). Application of Big Data Information Processing Technology in Improving English Reading Speed. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. Lecture Notes on Data Engineering and Communications Technologies, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-16-7469-3_113
Download citation
DOI: https://doi.org/10.1007/978-981-16-7469-3_113
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7468-6
Online ISBN: 978-981-16-7469-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)