Author(s)

Shi Yang ¹, Suli Li ², Chaoran Tong ³

Affiliation(s)

¹ Academy of Fine Arts, Guangdong University of Education, Guangzhou, Guangdong, 510812, China
² College of Elementary Education, Hainan Normal University, Haikou, Hainan, 571158, China
³ School of Fine Arts and Design, Guangzhou University, Guangzhou, Guangdong, 510006, China

Corresponding Author

Chaoran Tong

ABSTRACT

The subject of art is highly subjective, and each student has his or her own unique way of creation and expression. This makes teachers face certain challenges in the teaching process and need to flexibly respond to the individual needs of different students. This study explores the effectiveness of artificial intelligence teaching methods in art subject classrooms and evaluates its impact on students' academic performance and satisfaction. This study adopted an experimental design and randomly divided students into experimental groups and control groups. The experimental group used artificial intelligence-assisted teaching methods, including personalized learning support, real-time feedback, and independent learning opportunities; the control group used traditional teaching methods. The effectiveness of the artificial intelligence teaching method was evaluated by comparing the academic performance and satisfaction of the two groups of students. Experimental results showed that the effective teaching method of using artificial intelligence into art subject classrooms had a positive impact on students' academic performance. 80% of students in the experimental group expressed satisfaction with the artificial intelligence teaching method, which showed that students had a positive attitude towards it and believed that this teaching method could provide better learning experience and learning results.

KEYWORDS

Teaching Methods, Teaching Effectiveness, Artistic Subject Classroom, Artificial Intelligence

CITE THIS PAPER

Shi Yang, Suli Li, Chaoran Tong, The Effectiveness of Artificial Intelligence Teaching Methods in Art Subject Classrooms. Journal of Artificial Intelligence Practice (2023) Vol. 6: 52-59. DOI: http://dx.doi.org/10.23977/jaip.2023.060708.

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