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Constructing and Prospecting a Data-Driven Precision Teaching Model for Visual Communication Design Major

Author(s)

Bingying Xia*

Affiliation(s)

School of Design, Anhui University of Arts, Hefei, China *Corresponding Author.

Abstract

This paper proposes a data-driven precision teaching model specifically designed for the visual communication design major. By utilizing data analytics, the model aims to personalize learning experiences, enhance student engagement, and improve educational outcomes. Key features include real-time feedback, continuous curriculum adjustments, and active stakeholder collaboration, creating a dynamic and responsive educational system. The paper explores the theoretical foundations of the model, its technological integration, ethical challenges, and future research opportunities. Additionally, it stresses the importance of longitudinal assessments, equity in education, and collaborative research to align the model with the evolving demands of the workforce. The conclusion highlights the transformative potential of this model to reshape education in the visual communication design field.

Keywords

Data-driven Education; Precision Teaching; Educational Technology

References

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