Constructing Evaluation Measure of Professional Competence of Talents in Artificial Intelligence Painting Based on Delphi Method

We constructed the evaluation scale of the professional competence of talents in AI (AI) painting using the Delphi method. The result provided a scientific and effective assessment tool to measure and evaluate the level of professional competence of the talents in AI painting. Through literature analysis and in-depth interviews, the structure and connotation of the indicators of professional competence for cultivating artistic talents were constructed. The Delphi method was adopted by 16 experts and scholars. The results were analyzed based on the scale data to extract factors using exploratory factor analysis and principal component methods. A standard system of professional competence was constructed for artistic talents. The professional competence evaluation scale for AI painting talents presented professional knowledge, skills, and attitudes in which there were four, four, and three dimensions, respectively with 31 tertiary indicators. The evaluation scale of the professional competence of talents in AI painting was used in the efficiency and reliable method to provide a basis for research in the evaluation of talents.