Impacts of Artificial Intelligence on Students’ Collaborative Learning of Film and Television Media

Abstract

        This study explores the impact of AI technology on students' collaborative learning, academic performance, learning attitude, and creative development levels in undergraduate film and television media courses. This study used a quasi-experimental design with participants from four universities: Sichuan University of Communication, Sichuan University, Jilin Animation College, and Chengdu University. The experiment was conducted from March to August 2024. The experimental group adopted an AI-assisted collaborative learning strategy (n = 472), and the control group participated in traditional classroom teaching (n = 118). The Attitude Scale measured students 'attitudes towards AI collaborative learning, and performance tests assessed the impact of AI applications on students' academic performance. For an exploratory analysis, we conducted in-depth interviews with the students. The results show that AI collaborative learning significantly improves students' academic performance and creative development level. Students in both groups scored high attitudes towards AI collaborative learning, and the students in the experimental group spoke highly of the innovation and motivational improvement of AI collaborative learning. Researchers and educational practitioners should consider that AI collaborative learning can positively affect academic achievement and student performance and significantly increase students' learning motivation.