Research and Application of the “5A” Educational Model of AIGC-Enabled Wireless Sensor Networks Curriculum

With the advancement of the new generation of technological revolution, the integration of AI technology into the field of education has deepened significantly, providing new opportunities for educational innovation. Inspired by the “5A” consumer experience path model in the digital marketing environment, this paper proposes a “5A” education model based on Artificial Intelligence Generated Content (AIGC) technology, aiming to establish a personalized and precise distance education environment through digital marketing concepts. The model is applied to the wireless sensor network course, facilitating comprehensive coverage from course information dissemination to the recording of students' learning behaviors across the five stages of Aware, Appeal, Ask, Action, and Advocate. This study employs AIGC technology to rapidly aggregate and generate multimodal educational content, thereby enhancing the visibility and attractiveness of the course while guiding students towards practical operations and knowledge sharing, ultimately improving both teaching effectiveness and the learning experience. Furthermore, this study evaluates and analyzes the AIGC+ “5A” education model by constructing online learning assessment and evaluation indicators. The results indicate that the model effectively enhances students' interest in learning, improves tailored teaching effectiveness and efficiency, and demonstrates its potential for application in the field of education.