BACKGROUND AND IMPLEMENTATION CHALLENGES: Global tobacco control education faces significant challenges in knowledge accessibility, learning engagement, and sustainable capacity building. Traditional approaches often struggle with scalability, personalization and interaction in delivering expert knowledge. Peking University pioneered an innovative approach by integrating AI technology into China's first professional tobacco control MOOC, establishing a smart health communication platform to enhance tobacco control education effectiveness and overcome these longstanding barriers.
INTERVENTION OR RESPONSE: The platform (https://icc.pku.edu.cn/assistant/) employs advanced cognitive AI model based on Xunfei Spark to create three innovative learning scenarios: synchronized classroom reproduction, evidence-based interactive tutoring, and professional knowledge application. Through sophisticated natural language processing technology, it transforms expert tobacco control MOOC content, including epidemiology, prevention strategies, and tobacco control policies, into personalized intelligent learning experiences. The system integrates both web platform and WeChat mini-program interfaces, implementing AI-powered features including real-time intelligent tutoring, adaptive learning path recommendations, and automated learning effectiveness assessment to provide comprehensive tobacco control capacity building support.
RESULTS AND IMPACT: PKU's tobacco control MOOC has attracted over 3,000 registrants since November 2021, including students (60%), public health practitioners (30%), and media professionals (10%). The AI-enhanced platform, currently in trial phase, demonstrates preliminary improvements in learning engagement through innovative interaction methods. Initial user feedback and pilot testing among PKU students indicate enhanced accessibility and effectiveness of tobacco control knowledge dissemination. The platform's integration of AI technology with evidence-based tobacco control content shows promise in advancing professional capacity building.
CONCLUSIONS: This pioneering practice showcases AI technology's transformative potential in modernizing tobacco control education. By integrating established MOOC content with AI innovation, the platform creates a new paradigm for sustainable capacity building in tobacco control. The experience provides valuable insights for future global tobacco control education development and demonstrates a scalable model for enhancing public health education through technological innovation.