A Deep Learning-Based Teaching Design for High School Geography Units: Taking the Example of Landforms of the Humanistic Education Edition

  • Yuan X
  • Zhang C
  • Li J
  • et al.
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Abstract

The traditional teaching methods of one-way cultivation of students can no longer meet the requirements oftalent cultivation at this stage. The issue of how to promote students from passive acceptance to the independent cognitive understanding stage (i.e. deep learning) has become the focus of geography teaching. Therefore, under the guidance of deep learning theory, this paper takes the “landforms” knowledge unit of the Humanistic Education Edition as an example, improves the classroom teaching means through the unit teaching mode, reconstructs the “landforms” teaching unit, and explores the specific teaching of high school geography unit based on deep learning. This study provides a good example and guidelines for high school geography teaching and learning.

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APA

Yuan, X., Zhang, C., Li, J., Niu, J., Li, X., & Shi, X. (2024). A Deep Learning-Based Teaching Design for High School Geography Units: Taking the Example of Landforms of the Humanistic Education Edition. Journal of Contemporary Educational Research, 8(2), 176–182. https://doi.org/10.26689/jcer.v8i2.6039

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