Exploration on the Practical Application of AIGC Fraud Cases in the Ideological and Political Teaching of Data Visualization Course

Abstract

In response to the security risks and governance challenges posed by AIGC technology, as well as the current status and existing problems in ideological and political education within data visualization courses, this study integrates course content to explore how cybersecurity and AIGC-related fraud can be incorporated as teaching materials into classroom instruction. It further investigates a practice-oriented approach to ideological and political education that is guided by values, empowered by technology, and driven by real-world application. The aim is to refine the ideological and political teaching system of the Data Visualizationcourse, achieve an organic integration of professional knowledge transmission and value shaping, enhance students’ sense of professional identity and historical mission, improve their professional competence and innovative practical abilities, and strengthen their awareness of technological ethics and capacity to identify fraud. This research provides strong support for cultivating high-quality talents of the new era who not only master advanced professional skills but also possess a high level of social responsibility. It also offers theoretical guidance and practical references for the ideological and political construction of other specialized courses in the context of emerging engineering education.