Teaching Optimization Strategy of Finance and Economics Courses Based on CiteSpace knowledge Map
Abstract
Financial and economic talents are an indispensable type of talents in the society. Financial and economic courses in colleges and
universities are the basic way to train financial and economic talents. In order to train financial talents to meet the needs of social development,
colleges and universities need to optimize the teaching of financial courses and improve the teaching quality. In order to improve the teaching
quality of finance and economics courses, this paper uses CiteSpace software to analyze the publication status of the teaching optimization of
finance and economics courses in the past four years, and constructs the knowledge graph of finance and economics course teaching by combing relevant documents, revealing the research hotspots and development trends in this field. On the basis of related research, this paper puts
forward the teaching optimization strategy of finance and economics courses for reference.
universities are the basic way to train financial and economic talents. In order to train financial talents to meet the needs of social development,
colleges and universities need to optimize the teaching of financial courses and improve the teaching quality. In order to improve the teaching
quality of finance and economics courses, this paper uses CiteSpace software to analyze the publication status of the teaching optimization of
finance and economics courses in the past four years, and constructs the knowledge graph of finance and economics course teaching by combing relevant documents, revealing the research hotspots and development trends in this field. On the basis of related research, this paper puts
forward the teaching optimization strategy of finance and economics courses for reference.
Keywords
CiteSpace; Knowledge graph; Finance and economics courses; Financial and economic talents
Full Text:
PDFReferences
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"New Finance" [J]. Shaanxi Education (Higher Education), 2023, (11): 41-43.
DOI: http://dx.doi.org/10.70711/wef.v2i6.5304
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