The flipped classroom approach is aimed at improving learning outcomes by promoting learning motivation and engagement. Recommendation systems can also be used to improve learning outcomes. With the rapid development of artificial intelligence (AI) technology, various systems have been developed to facilitate student learning. Accordingly, we applied AI-enabled personalized video recommendations to stimulate students' learning motivation and engagement during a systems programming course in a flipped classroom setting. We assigned students to control and experimental groups comprising 59 and 43 college students, respectively. The students in both groups received flipped classroom instruction, but only those in the experimental group received AI-enabled personalized video recommendations. We quantitatively measured students’ engagement based on their learning profiles in a learning management system. The results revealed that the AI-enabled personalized video recommendations could significantly improve the learning performance and engagement of students with a moderate motivation level.

翻转课堂方法旨在通过促进学习动机和参与度来改善学习成果。推荐系统也可用于改善学习成果。随着人工智能（AI）技术的快速发展，已经开发出各种系统来促进学生的学习。因此，我们应用支持 AI 的个性化视频推荐来激发学生在翻转课堂环境中的系统编程课程中的学习动机和参与度。我们将学生分配到控制组和实验组，分别由 59 名大学生和 43 名大学生组成。两组学生都接受了翻转课堂教学，但只有实验组的学生接受了 AI 支持的个性化视频推荐。我们根据学生在学习管理系统中的学习概况定量测量了学生的参与度。结果表明，基于人工智能的个性化视频推荐可以显着提高动机水平适中的学生的学习成绩和参与度。