Enhance College AI Course Learning Experience with Constructivism-Based Blog Assignments

This study, grounded in constructivist theory, presents an innovative artificial intelligence (AI) course framework for undergraduate students from the School of Artificial Intelligence at Anhui University. This research focuses on students’ perceptions and explores the impact of blogs as a platform for assignment submission in an AI course. Data are collected using structured questionnaires and analyzed quantitatively using a partial least squares structural equation model. Additionally, interviews are conducted to provide nuanced insights and contextual explanations, thus supplementing the quantitative findings. This study explores the specific impacts of blogs on students’ learning abilities, learning experiences, academic outcomes, and overall satisfaction within the AI course. By leveraging blogs as pedagogical tools, this study highlights their potential to transform traditional teaching methods and promote active learning and knowledge sharing in higher education. The proposed course framework also offers a scalable model that can be adapted for other science and engineering disciplines in colleges and universities.