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Research on the Teaching of Financial Engineering Assisted by Artificial Intelligence

Author(s)

Tao Song

Affiliation(s)

Economics and Management School, Yangtze University, Jingzhou, Hubei, China

Abstract

With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread, bringing profound changes to traditional teaching models. As an interdisciplinary field that emphasizes both theory and practice, Financial Engineering urgently needs to explore how to use artificial intelligence technology to improve teaching effectiveness. This study explores the application of artificial intelligence technology in the teaching of Financial Engineering, aiming to improve the quality and efficiency of education. By analyzing practical cases of artificial intelligence in courseware production, test paper generation, and student Q&A, combined with literature review, we evaluate its advantages and challenges. The research results indicate that artificial intelligence can support personalized learning, reduce the burden on teachers, and improve learning efficiency, but it also faces problems such as insufficient technological acceptance, lack of humanized interaction, and risk of excessive dependence. In summary, the scientific application of artificial intelligence assisted teaching can bring significant improvements to the education of Financial Engineering, but it is necessary to balance technological and humanistic factors.

Keywords

Artificial Intelligence; Assisted Teaching; Education Quality; Personalized Learning

References

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