In the era of big data, data visualization technology as a bridge between communication data and decision-making, its teaching system highlights the characteristics of both technical depth and humanistic care. Through the BOPPPS (Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, Summary) nested PAD (Presentation, Assimilation, Discussion) teaching mode, this paper deeply integrates moral education in the data visualization course, not only teaches students the skills of data flow construction and chart making, but also focuses on cultivating their sense of responsibility, teamwork ability and big data logical thinking ability. At the same time, classroom design emphasizes a deep understanding of data ethics and social responsibility, and guides students to see the essence through phenomena, so as to establish correct values and morality. This paper aims to show how to effectively integrate moral education into professional teaching and promote the dual improvement of students' skills and morality through classroom teaching design cases. © 2025 The Authors.
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