Study on the Teaching Path of Integrating Integrity Education Elements into the Course “Foundations of Financial Big Data”

Abstract

With the widespread adoption of financial big data technologies, ethical issues such as data distortion and falsification in financial work have become increasingly prominent. Integrating integrity education into the course “Foundations of Financial Big Data” is therefore of significant practical importance. Guided by the principles of curriculum ideology and politics, and addressing the current lack of systematic integrity education in this course, this paper proposes a teaching pathway characterized by “aligned objectives, embedded content, integrated methods, and closed-loop evaluation.” The pathway is implemented across four dimensions: curriculum content restructuring, classroom teaching delivery, practical education expansion, and assessment and evaluation. By achieving an organic integration of technical instruction and integrity education, the study aims to cultivate a new generation of financial professionals who possess both strong financial big data skills and a firm commitment to professional integrity. This research provides a replicable practical model for integrating integrity education into technology-oriented courses, contributing positively to the construction of a “Clean China” and the high-quality development of the financial industry.