The importance of using innovative technologies in modern education is continuously growing. This paper examines the influence of intelligent painting systems (IPS) on student self-efficacy and involvement. The conducted study involved 234 students from the Guangzhou Academy of Fine Arts. An experimental approach was used to ensure scientific validity of the study. The experimental group trained using the IPS (based on deep learning and uses a fine-tuned ResNet-50 model), whereas the control group studied according to traditional methods. The results obtained upon completion of the training confirmed the positive influence of the implemented system. The Multivariate analysis of variance (MANOVA) also showed statistically significant differences between the groups. The practical significance of the study lies in the fact that it justifies the introduction of intelligent systems into art education to increase its effectiveness as well as student involvement. The findings of the study have important implications for the development of educational and artistic policy. Furthermore, they contribute to the improvement of teaching methods and the quality of education in this field. The study can also serve as an impetus for further research on the use of technology in education and its impact on pedagogical practice.