International Art Design Talents-oriented New Training Mode Using Human–Computer Interaction based on Artificial Intelligence

Abstract

The research expects to promote “artificial intelligence (AI) [Formula: see text] Education” and cultivate high-quality art design talents with international perspectives. First, random sampling recruits 100 Art Design sophomores in a university and divides them into a test group and a control group. The Questionnaire Survey (QS) is used to obtain research data, including students’ satisfaction with the curriculum, training mode, and innovation environment. Meanwhile, some deficiencies in the traditional educational model are revealed alongside targeted suggestions. Then, a comparative analysis is performed on the design works of the two groups and the student’s evaluation of the existing and proposed models. The result proves the effectiveness of the proposed international art design talents-oriented Human–Computer Interaction (HCI)-based training model. The research results imply that students are less satisfied with the existing curriculum, training mode, and innovative environment. About 40% of students hold a neutral attitude towards the current curriculum. They hope that the school provides a more comprehensive and flexible curriculum, personalized training methods, and a relaxed learning environment conducive to creativity. Students in the test and the control groups have gained significant differences in the scores of design works. The test group has scored relatively high, and their works contain more international elements than the control group. Meanwhile, the test group’s works reflect a deeper understanding of theoretical knowledge. They give a high evaluation of the proposed talent training model. Thus, the proposed HCI-based new talent training model is effective. Therefore, the proposal is of great significance for promoting the “AI [Formula: see text] Education” and talent training models.