AIGC Empowered Blended Learning in University Course Design and Implementation: A Case Study

Artificial Intelligence Generated Content (AIGC) is an important issue in the field of higher education. Although many studies on AIGC have appeared, they are mainly theoretical rather than empirical studies, and the study of how to effectively integrate AIGC into teaching is insufficient. Considering the compatibility between artificial intelligence and blended learning, based on constructivist learning theory and deep learning theory, and using AIGC, we designed a blended learning involving teacher, student, and AIGC, and three segments of pre-class, in-class, and post-class, and conducted teaching practice. A total of 79 students majoring in computer science and technology were selected as the research participants, and a single-group pre- and post-test method was employed to verify the effectiveness of the experiment. The results show that the blended learning design based on AIGC is feasible and effective, and students can adapt to and deeply participate in the teaching process. It also significantly improves students’ deep learning ability and ensures that students master the knowledge of the course.