Research on the Influencing Factors and Optimization Path of Interdisciplinary Practice Course Teaching Effect under the New Liberal Arts Concept—Take Financial Big Data Analysis Course as an Example

Abstract

Abstract: The course of financial big data analysis, as an interdisciplinary course in accounting and finance majors, holds significant importance in cultivating qualified new talents in the humanities. This study investigates the teaching effectiveness and influencing factors of the course. Utilizing questionnaire surveys and interviews, the research examines students'perceptions of teaching effectiveness and its influencing factors from the perspectives of both teachers and students. The analysis reveals that teaching methods, learning motivation, and teaching environment significantly influence teaching effectiveness. However, the relationship between teaching proficiency, learning behaviors, independent learning, and teaching effectiveness is not significant. Following a normative analysis of the statistical results, suggestions for future course development include attention to effective reforms in teaching methods, guidance on course values, and improvements in the teaching network environment. Moreover, it is crucial to cultivate positive learning habits among students through incentivization.

Key words: New liberal arts, Interdisciplinary, Practical courses, Teaching effect, Curriculum construction, Financial big data analysis

CLC Number:

G642

WANG Yong. Research on the Influencing Factors and Optimization Path of Interdisciplinary Practice Course Teaching Effect under the New Liberal Arts Concept—Take Financial Big Data Analysis Course as an Example[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2024, 7(8): 11-17.

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