The Transformation of Vocational Education in the Context of Deep Learning Theory: Actual Dilemma and Practical Path

DOI

10.2991/978-94-6463-600-0_23How to use a DOI?

Keywords

technical knowledge; critical thinking; deep learning theory; embodied cognition theory

Abstract

With the global industrial digital transformation and upgrading, the replacement with automation eliminates labor-intensive positions such as assembly line operations. The 20th National Congress of the Communist Party of China put forward a new direction of “Integration of Science and Education”, emphasizing the need for high-quality technical skills to help national technological innovation. But at present, there are some real dilemmas in vocational education, such as shallow teaching and learning, priority of efficiency and instrumental rationality, a lack of students’ innovative and holistic problem-solving abilities, and a discontinuity in the development of sustainable career pathways. In order to cultivate innovative talents who can flexibly cope with the current complex situation and future challenges under “Industry 4.0”, this paper takes deep learning theory as the guiding ideology and technical knowledge as the basis to explore the teaching practice path in vocational education. Based on deep learning theory, it puts forward four feasible paths. That is to create a multi-modal embodied “exploratory” learning work field, to establish learning activities to cultivate innovative overall problem-solving ability, to construct the network system of generative technology knowledge, and to let educational instrumentality return to the lifelong development of human beings. The conclusion of this paper is that taking problems as the driving axis while integrating deep learning into the practical logic of teaching and learning to realize the sustainable development of students’ career.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shenzhu Li
PY  - 2024
DA  - 2024/12/13
TI  - The Transformation of Vocational Education in the Context of Deep Learning Theory: Actual Dilemma and Practical Path
BT  - Proceedings of the 4th International Conference on New Media Development and Modernized Education (NMDME 2024)
PB  - Atlantis Press
SP  - 193
EP  - 201
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-600-0_23
DO  - 10.2991/978-94-6463-600-0_23
ID  - Li2024
ER  -