Author(s)

Hongwei Ji ¹, Jingjie Li ², Jinxin Gao ³, Guolei Wu ¹, Weiping Li ¹

Affiliation(s)

¹ Nantong Teachers College, Nantong, Jiangsu, China
² School of Art and Media, Suqian College, Suqian, Jiangsu, China
³ College of Mathematics and Science, Anhui Engineering University, Wuhu, Anhui, China

Corresponding Author

Jinxin Gao

ABSTRACT

The main tasks of higher education include teaching, research and social services. Among them, curriculum is the core part of education, and the core of curriculum is the specific teaching process. With the vigorous development of education in China, classroom activities should also keep pace with the times. Each class activity with limited time condenses the teaching content of essence, and students receive relevant knowledge in the interactive process of teaching and learning. Nowadays, the construction process of university information teaching system is accelerating, which puts forward new requirements for college students' professional ability, and deep learning can effectively strengthen college students' innovation, practice and learning ability. Not only that, in-depth learning is also the future development trend of higher education. The introduction of problem-based and project-based learning mode in the actual teaching process can effectively mobilize students' enthusiasm and bring them a sense of gain. The article first outlines the meaning of deep learning, briefly summarizes the sense of gain, and discusses the generation logic of sense of gain from both internal and external aspects. Then, from the perspective of deep learning, it analyzes the current situation of professional theory teaching in contemporary colleges and universities, and takes mathematics professional courses as an example to explore the way to improve the sense of gain of college students' professional theory courses based on deep learning, which has certain inspiration for the study and further study of college students' professional theory courses, At the same time, it has certain reference value for promoting the construction of university curriculum and style of study.

KEYWORDS

Professional theory courses, deep learning, sense of gain, college teaching

CITE THIS PAPER

Hongwei Ji, Jingjie Li, Jinxin Gao, Guolei Wu, Weiping Li, Research on the Path of Improving College Students' Sense of Gain in Professional Theoretical Courses Based on Deep Learning. Adult and Higher Education (2023) Vol. 5: 154-165. DOI: http://dx.doi.org/10.23977/aduhe.2023.050520.

REFERENCES

[1] Zhang Sihong. An analysis of the path of interactive teaching to facilitate the in-depth learning of application-oriented courses in colleges and universities. Journal of Fujian Institute of Education, 2023, 24 (1): 95-97.
[2] Luo Chun, Wu Zhicong, Wu Xianyong. The practical problems and path choice of the new form of double-line blended teaching in the perspective of promoting deep learning in colleges and universities. Journal of Hechi University, 2022, 42 (5): 80-87.
[3] Lv Pin, Yu Wenbing. Fishing learning: a new method of cultivating lifelong learning ability to improve the sense of acquisition of applied talents. Computer Education, 2022 (9): 40-43+48.
[4] Yuan Jinli, Guo Zhitao. Research on the practice path of intelligent education in colleges and universities with deep learning as the core. Journal of Hebei Normal University (Education Science Edition), 2022, 24 (4): 68-74.
[5] Cui Xiangping, Zhang Hanqi, Du Yuxia, Qian Jiangming, Su Wei. Research on the construction of smart classroom teaching mode in colleges and universities from the perspective of deep learning. Digital Education, 2022, 8 (3): 34-41.
[6] Tao Yuwei. Research on the construction of deep learning field for college students from the perspective of dual-line blending. China Agricultural Education, 2022, 23 (2): 80-88.
[7] Wang Guijie. Exploration of the reform of college mathematics classroom teaching from the perspective of deep learning methods. Journal of Hubei Open Vocational College, 2022, 35 (6): 163-165.
[8] Yang Xiwei, Liu Zhiqiang. Practical reflection and innovative path of college classroom teaching reform from the perspective of deep learning. Journal of Wuzhou University, 2022, 32 (1): 93-98.
[9] Sheng Tianxiang, Ni Danmei, Wang Moxue. Deep learning of students in online teaching in colleges and universities: internal and external drive. China Education Informatization, 2021 (21): 10-14.
[10] Li Yanxue, Hu Juhua. Analysis of the way to improve the sense of gain of college students' ideological and political theory courses based on in-depth learning. Journal of Taiyuan City Vocational and Technical College, 2021 (10): 158-160.
[11] Yang Jianting, Wang Chuan'an, Zhai Ligong. Discussion on the effectiveness of college teachers' teaching behavior under deep learning. Journal of Wuhu Vocational and Technical College, 2020, 22 (4): 63-67.
[12] Wang Pei. Research on the general model of deep learning process of university mathematics. Science and Education Guide (Midten-day), 2020 (11): 120-122.
[13] Li Qiongfeng. Guided in-depth learning: the path of classroom teaching reform in colleges and universities. Modern Education Management, 2020 (3): 97-102.
[14] Wang Zhenping, Gao Fugen. Reform of college mathematics classroom teaching from the perspective of deep learning methods. Shanxi Youth, 2020 (5): 39-40.
[15] Cui Jiajia. Research on the characteristics of in-depth teaching of professional theory courses in higher vocational colleges. Tianjin Normal University of Technology, 2020.
[16] Xi Huidan, Yan Cheng. Research on flipped classroom in local colleges and universities to promote college students' deep learning and high-level thinking development. University Education, 2019 (9): 37-39.
[17] Tan Shuang. The construction of "mixed teaching" model in colleges and universities aiming at deep learning. China Higher Education, 2019 (6): 51-53.
[18] Song Qianqian, Cao Yujuan, Liu Zhenhai. Preliminary exploration of online open course teaching reform in colleges and universities from the perspective of deep learning. Journal of Yancheng Institute of Technology (Social Science Edition), 2018, 31 (4): 83-85.
[19] Ke Meiling, Li Yumei, Wei Xiaomei. Investigation on the current situation of deep learning of normal university students—taking a normal university in Hubei as an example. Tomorrow's Fashion, 2017 (12): 367.
[20] Kong Lingying, Wang Bo, Sheng Guangdong. Research on the improvement of college classroom teaching efficiency from the perspective of "deep learning". Education Modernization, 2016, 3 (4): 111-112.

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education