Practical Research on Entrepreneurship and Innovation Education Based on Big Data Technology in the Context of Integration of Production and Education
- DOI
- 10.2991/978-2-38476-456-3_5How to use a DOI?
- Keywords
- Integration of production and education; big data technology; entrepreneurship and innovation education
- Abstract
The report of the 20th National Congress of the Communist Party of China pointed out that the implementation of the strategy to invigorate the country through science and education is crucial for strengthening talent support for modernization. Colleges and universities nationwide attach great importance to responding to the national call, recognizing that innovation and entrepreneurship education in the context of integration of production and education is an important pathway to cultivating innovative, application-oriented talents, and talents suited to the needs of enterprises. This paper analyzes the impact of big data on entrepreneurship and innovation practices, providing decision-making support for innovation and entrepreneurship education through data processing and analysis, and promoting the reform and sustainable development of entrepreneurship education in higher education institutions.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Lijun Jiang PY - 2025 DA - 2025/08/25 TI - Practical Research on Entrepreneurship and Innovation Education Based on Big Data Technology in the Context of Integration of Production and Education BT - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025) PB - Atlantis Press SP - 44 EP - 51 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-456-3_5 DO - 10.2991/978-2-38476-456-3_5 ID - Jiang2025 ER -