Research on Personalized Teaching in Smart Classroom Based on Deep Learning

Authors

  • Jing Gao Faculty of Educational Studies, Universiti Putra Malaysi, Serdang 43400, Selangor, Malaysia
  • Normala Ismail North China University of Science and Technology, Tangshan 063210, Heibei, China
  • Abdullah Mat Rashid Faculty of Education, University of Perpetual Help System Dalta, Las Piñas City 1740, Philippines
  • Fukai Cao North China University of Science and Technology, Tangshan 063210, Heibei, China

Keywords:

BP algorithm, Deep learning, Personalized teaching, Smart classroom

Abstract

Personalized instruction in a smart classroom Education has evolved into a vital and effective instrument in the classroom. Smart classroom education is a strategy for focusing curriculum preparation on encouraging students to pursue research ideas. Different subjects necessitate the advancement of research. Smart classroom is studied and the results project since it is the foundation for research in either topic. Micro-courses will also be a supporting learning model for exploring any subject from such a research viewpoint, rather than a full course for just a subject. In this study, we are going to research on Personalized Teaching in Smart Classroom based on Deep Learning. The Back Propagation (BP) algorithm, that is a Deep Learning method, is developed in this study work to enhance research in smart classes.

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Basic layout of a backpropagation algorithm

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Published

19.12.2022

How to Cite

Jing Gao, Normala Ismail, Abdullah Mat Rashid, & Fukai Cao. (2022). Research on Personalized Teaching in Smart Classroom Based on Deep Learning. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 59–64. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2362

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

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Copyright (c) 2022 Jing Gao, Normala Ismail, Abdullah Mat Rashid, Fukai Cao

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