Collaborative Integration Design of Guangxi Business Cases and Innovation and Entrepreneurship Based on Big Data
- 10.2991/978-94-6463-012-1_14How to use a DOI?
- Big Data Technology; Data Driven; Guangxi Business Cases; Innovation and Entrepreneurship Education; Curriculum Design
Under the background of entrepreneurship and innovation, using big data to drive the reform of innovation and entrepreneurship education and relying on local business groups to carry out innovation and entrepreneurship education is a topic worthy of study. Taking the native Guangxi business as the research carrier, this paper firstly analyzes the research status of Guangxi business and innovation and Entrepreneurship with the bibliometric method. And based on polynomial fitting prediction, the research growth model was designed and predicted and the enlightenment of big data on entrepreneurship and entrepreneurship education is sorted out. Secondly, the curriculum design of collaborative integration of Guangxi business cases and innovation and entrepreneurship is carried out. By using two teaching organization methods, which are the mixture of theory and practice, and the mixture of inside and outside the school, the entrepreneurial case of Guangxi business is integrated into the “two mixtures” of curriculum design, and the participation and integration of entrepreneurial cases of Guangxi business and the whole learning experience of students are always emphasized, so as to enhance students’ practical application ability in the process of participation and experience. It realizes the integrated curriculum design of data-driven collaborative integration of Guangxi business cases and innovation and entrepreneurship, which provides data support and practical path for the education of Guangxi business cases and innovation and entrepreneurship in colleges and universities.
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Cite this article
TY - CONF AU - Jinjin Yao PY - 2022 DA - 2022/12/09 TI - Collaborative Integration Design of Guangxi Business Cases and Innovation and Entrepreneurship Based on Big Data BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 122 EP - 130 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_14 DO - 10.2991/978-94-6463-012-1_14 ID - Yao2022 ER -