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Research on the Cultivation Model of Innovation and Entrepreneurship Ability for Accounting Majors in the Context of Big Data

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DOI: 10.23977/aetp.2023.071616 | Downloads: 12 | Views: 289

Author(s)

He Xiangshuo 1

Affiliation(s)

1 Institues of Economics and Administration, North China Electric Power University, No. 619, Yonghuabei Street, Lianchi District, Baoding, Hebei, 071003, China

Corresponding Author

He Xiangshuo

ABSTRACT

"Mass entrepreneurship and innovation" (hereinafter referred to as "mass entrepreneurship and innovation") is an important support for China's economic development. Relying on greater stimulation of market vitality and social creativity, it can withstand the downward pressure of the economy and maintain the long-term fundamentals of China's economy. On the other hand, it is also an important measure to enhance students' employment ability and expand the scope of employment. Enhancing students' awareness and ability of "innovation and entrepreneurship" is an important driving force in supporting the country's "growth and employment stability". Taking this as the starting point, the article first analyzes the problems in innovation and entrepreneurship education in the accounting profession under the current education system. Then, starting from the background of big data, it fully studies the impact of big data on the accounting profession, and analyzes the problems from three aspects: curriculum system construction, talent team construction, and teaching assessment method construction that meet the requirements of "innovation and entrepreneurship", Finally, a reform strategy for innovation and entrepreneurship teaching in accounting majors under the background of big data was proposed.

KEYWORDS

Big data; Accounting major; Innovation and entrepreneurship; Teaching reform

CITE THIS PAPER

He Xiangshuo, Research on the Cultivation Model of Innovation and Entrepreneurship Ability for Accounting Majors in the Context of Big Data. Advances in Educational Technology and Psychology (2023) Vol. 7: 118-122. DOI: http://dx.doi.org/10.23977/aetp.2023.071616.

REFERENCES

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