Educational intervention demonstrates improved learning visualization and 91% satisfaction in college students, suggesting that digital sensing enhances creative pedagogy.
Students from a variety of fields can learn music, calligraphy, dance, theatre, cinema, and art and gain essential practical skills that essentially enhance their artistic possibilities and characteristics that foster the development of morality, intellect, physicality, and aesthetic literacy among college students in the College Art Education Model (CAEM). The aesthetic principles cultivated in CAEM are fundamental to diverse design disciplines and creative practices. The art education faces systemic challenges in pedagogical logic, particularly the misalignment between abstract artistic objectives and measurable learning outcomes, which impedes curriculum standardization and assessment validity. The Internet of Things serves as an infrastructure for continuous data acquisition and contextual awareness in college art education, enabling real-time monitoring of learning behaviors and resource utilization. Digital Media (DM) is a college art education that exceedingly effective students can be instructed in knowledge assessment, practical operation, collaboration, and lifelong learning. The CAEM-DM method proposed in this study demonstrates how digital tools can enhance the visualization of artistic elements, which is applicable to modern visual design and digital creative education. A CAEM-DM method for developing the cost-effectiveness of the innovative route in art education, the link with teachers, students, and teaching materials, and an effective model for distributing information in art teaching and extracting its potential. College students’ satisfaction with art education is up to 91% due to the study’s actual teaching activities, showing that this experiment is relatively impactful, influential, and stirs up students’ emotions. The IoT layer may be implemented through low-cost wireless sensing modules in classroom and studio environments.
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Zhao et al. (2026) studied this question.
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