Frontiers in Educational Research, 2024, 7(2); doi: 10.25236/FER.2024.070226.
Yang Jinji1, Chen Lei2, Cheng Na3
1Accounting School, Wuhan Textile University, Wuhan, China
2Accounting School, Wuhan Textile University, Wuhan, China
3Accounting School, Wuhan Textile University, Wuhan, China
Under the context of digital economy, financial "data silo" is being replaced by "integrated big data", the penetration of artificial intelligence technology into the field of finance is increasing, and digital intelligence financial talent training is imperative, and the adjustment of university talent training also needs to be followed up accordingly. After analysing both the external environment and internal work changes, it has been identified that the transformation of financial work needs to be transformed and financial training in universities needs to be adjusted. The results of the questionnaire data have revealed three significant "divergent" dilemmas in the process of cultivating digital and intelligent financial talents in universities: the teaching content, teaching process, and teaching force. Therefore, a proposed “integrated" financial and numerical intelligence talent training reform programme includes the integration of "finance" and "numerical intelligence" courses as well as an “industry-academia-research-use" four-pronged approach. This includes an Industry-University-Research-Use" four-in-one teaching platform, which integrates the teaching process and "speciality, expertise and newness" vocational ability cultivation objectives, along with internal incentives and external faculty introduction system.
Digital finance; Talent development; Vocational competence; Curriculum integration
Yang Jinji, Chen Lei, Cheng Na. From Divergence to Integration: The Dilemma and Reform Rationale of Numerical and Intelligent Financial Talent Training in Universities. Frontiers in Educational Research (2024) Vol. 7, Issue 2: 163-171. https://doi.org/10.25236/FER.2024.070226.
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