Methodology for Using Generative Art Intelligence Technologies in The Organization of Fine Arts Classes in Higher Education

This study is devoted to the development and empirical substantiation of the methodology for integrating generative artificial intelligence (AI) technologies into fine arts lessons in higher education. Within the framework of quasi-experimental design, a three-stage approach consisting of prompt engineering, hybrid painting, and reflexive portfolio modules was tested. Analysis, conducted on the basis of mixed methods, showed a 30% increase in creative creativity in the experimental group and a twofold reduction in the time for forming an idea.

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