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The Educational Review, USA

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ArticleOpen Access http://dx.doi.org/10.26855/er.2023.10.018

Research on the Application Value of Deep Learning in Flipped Classroom Teaching Model in Colleges and Universities

Ya Li

1Anhui University of Chinese Medicine, Hefei, Anhui, China.

2Philippine Women's University, Manila, Philippines.

*Corresponding author: Ya Li

Published: November 29,2023

Abstract

The construction of socialism with Chinese characteristics in the new era of Xi Jinping has presented universities with higher standards and requirements. It emphasizes the importance of students actively participating in deep learning. The integration of flipped classrooms and deep learning disrupts traditional classroom dynamics, enhances students' intrinsic motivation to learn, and amplifies the impact of university classrooms. Based on this, university classrooms should actively promote flipped classrooms that encourage deep learning. This article briefly discusses the necessity of deep learning and the integration model of deep learning in university flipped classrooms. In the flipped classroom teaching model, students need to be given autonomy, while teachers take on a supportive role in the teaching process. Both teachers and students should maintain a cooperative and collaborative relationship to facilitate the teaching work. The flipped classroom teaching model should not only focus on imparting knowledge, but also on exercising and cultivating students' learning ability. The ultimate educational goal should be the enhancement of students' comprehensive ability.

Keywords

Deep Learning, Flipped Classroom, University Teaching Model

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How to cite this paper

Research on Countermeasures of International Student Exchange in Local Universities from the Cross-cultural Perspective

How to cite this paper: Ya Li. (2023). Research on the Application Value of Deep Learning in Flipped Classroom Teaching Model in Colleges and Universities.The Educational Review, USA7(10), 1555-1559.

DOI: http://dx.doi.org/10.26855/er.2023.10.018