Research on the Teaching Reform Path of Deep Learning Courses in Universities Based on Flipped Classroom Teaching Model
Download PDF

Keywords

Deep learning
Universities
Flipped classroom
Teaching model

DOI

10.26689/erd.v6i7.7720

Submitted : 2024-06-30
Accepted : 2024-07-15
Published : 2024-07-30

Abstract

With the advancement of educational reform, higher education and teaching have also ushered in new opportunities for reform. In this context, ways to improve the teaching effectiveness of the Deep Learning course and cultivate students’ professional literacy and comprehensive abilities have become one of the teaching difficulties that troubles university teachers. The application of the flipped classroom teaching mode can effectively cultivate students’ core competencies and comprehensive abilities, which is crucial for their future learning and development. Therefore, it is necessary for universities to use the flipped classroom teaching model in the teaching of Deep Learning course in order to stimulate students’ interest in learning, mobilize their subjective initiative, and improve the effectiveness of classroom teaching. In this regard, this article provides a brief analysis of the teaching reform of the Deep Learning course in universities based on the flipped classroom teaching model, hoping to provide valuable reference and guidance for readers.

References

Liu D, Liu X, 2024, Exploration of Flipped Classroom Teaching Mode in Advanced Chinese Character Courses. International Chinese Education, 9(1): 59–68 + 86.

Hu S, Wan L, Yang J, et al., 2024, Design and Implementation of Flipped Classroom Teaching Based on Virtual Reality Technology: Taking “Electric Locomotive Overall and Running Gear” as an Example. Times Automotive, 2024(5): 37–39.

Cui H, Liu Z, Yue W, 2024, Exploration of Flipped Classroom Teaching Mode in Theoretical Mechanics. Journal of Jiamusi Vocational College, 40(2): 192–194.

Hu S, Wan L, Qin L, 2024, Exploration of the Application of Flipped Classroom Mode in Railway Courses: Taking “Electric Locomotive Overall and Running Gear” as an Example. Times Automotive, 2024(3): 38–40.

Xu D, Guo M, 2024, On the Form, Meaning and Spirit of Flipped Classroom. Journal of Shenzhen Vocational and Technical University, 23(1): 57–61.

Xu Y, Li M, 2024, Research on Flipped Classroom Teaching Model Based on Deep Learning: A Case Study of Automotive Professional English Course. Times Automotive, 2024(2): 32–34.

Zhang H, Sun W, 2023, Research Status and Development Trends of Deep Learning. China Education Technology Equipment, 2023(24): 74–76 + 80.

Li T, 2023, Historical Review and Development Trends of Flipped Classroom at Home and Abroad. Journal of Qiqihar Higher Normal College, 2023(6): 150–152.

Zhang C, 2023, Research on the Construction of English Deep Learning Model for Vocational College Students Based on SPOC. Overseas English, 2023(21): 238–240.

Chen L, 2023, Research on Flipped Classroom Teaching Mode in Universities from the Per-spective of “Deep Learning”. Journal of Heilongjiang University of Teacher Development, 42(4): 48–50.

Rao Y, Deng F, 2022, Design of Flipped Classroom Teaching Mode from the Perspective of Deep Learning: Taking the General Course of Entrepreneurship as an Example. Journal of Anhui Vocational and Technical College, 21(4): 82–86.

Cui X, Zhang H, Du Y, et al., 2022, Research on the Construction of Smart Classroom Teach-ing Models in Universities from the Perspective of Deep Learning. Digital Education, 8(3): 34–41.

Wang G, 2022, Exploration of Reform Ideas for College Mathematics Classroom Teaching from the Perspective of Deep Learning Methods. Journal of Hubei Open Vocational College, 35(6): 163–165.

Yang X, Liu Z, 2022, Practical Reflection and Innovative Path of Classroom Teaching Reform in Universities from the Perspective of Deep Learning. Journal of Wuzhou University, 32(1): 93–98.

Wang X, Zhang J, Yang H, et al., 2020, Research on Flipped Classroom Teaching Mode in Universities from the Perspective of Deep Learning. Research on Electronic Education, 41(12): 85–91 + 128.