Abstract
The proliferation of Internet-based technologies has resulted in the availability of new forms of technical assistance for the development of talent. It does this by making education about innovation and entrepreneurship more data-driven, which in turn makes it possible for education about innovation and entrepreneurship to thrive in the modern day. Nevertheless, as the age of big data has emerged in the last few years, new problems have been presented to the process of talent nurturing in colleges and universities. Education in innovative business practices and entrepreneurship in colleges and universities has to be updated to meet the new standards set by the progression of society, the times, and the students’ own personal growth. With this background in mind, the purpose of this article is to conduct an investigation into the present state of affairs regarding the building of an education system for innovation and entrepreneurship at colleges and universities. At addition to this, it explores the connection between big data and the establishment of an innovation and entrepreneurship education environment in schools like colleges and universities. It also suggests a roadmap for the establishment of an ecosystem for the teaching of innovation and entrepreneurship at local colleges and universities based on big data platforms. This serves to encourage the deep integration of big data technology with innovation and entrepreneurship education, which gives theoretical reference value for what has been referred to as the “innovation and entrepreneurship education ecosphere.“
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Acknowledgment
This research was financially supported by 2021 Research Project of Higher Education and Teaching Reform in Hainan Province (Grant NO. Hnjg2021_98).
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Lu, L. (2024). Research on the Path of Building the Innovation and Entrepreneurship Education Ecosystem of Local Universities Based on the Big Data Platform. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Teaching and Curriculum. ICCSE 2023. Communications in Computer and Information Science, vol 2024. Springer, Singapore. https://doi.org/10.1007/978-981-97-0791-1_14
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DOI: https://doi.org/10.1007/978-981-97-0791-1_14
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