Research on the Teaching Design of Deep Learning in High School Mathematics Based on Problem Solving — Taking the Law of Total Probability as an Example

  • Chang Jin Henan Normal University, China
DOI: https://doi.org/10.30560/ier.v8n4p1
Keywords: problem solving, deep learning, law of total probability, teaching design, high school mathematics

Abstract

With the rapid development of information technology and artificial intelligence, deep learning has gradually become a major research focus in the field of education. This paper designs an innovative teaching plan for high school mathematics based on problem-solving, using the law of total probability as an example. It is widely agreed that deep learning requires students to face challenging problems and understand the knowledge in the process of solving them. Studies show that problem-oriented teaching strategies can stimulate students’ mathematical thinking and promote deep understanding of concepts and formulas. Through case analysis, this research proposes an effective classroom approach for deep learning in teaching the law of total probability, aiming to improve students' mathematical competency.

References

Wu, Y., & Wu, H. (2024). Teaching design of "gene expression" deep learning based on problem solving. Biology Teaching, 49(12), 43–47.
Wang, J. (2023). Primary school mathematics teaching strategies under the "learning by use" concept — A review of Learning by Use: Practical Teaching in Primary School Mathematics from the Deep Learning Perspective. Chinese Journal of Education, 43(10), 115.
Zhao, S., & Liu, Z. (2023). Teaching practice research on promoting deep learning under the "problem-oriented" approach — Taking primary school mathematics as an example. Curriculum, Teaching Materials, Teaching Method, 43(01), 131–137.
Switching doors result
Published
2025-07-07
Issue
Vol 8 No 4 (2025)
Section
Articles
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