This study explores the integration of multimedia technology into English learning, addressing challenges in content rendering, interactive applications, and data privacy. We propose an optimized algorithm, DPAdaMod, which reduces privacy loss by 34% compared to traditional methods while maintaining high accuracy and faster convergence. The research highlights gaps in current English learning curricula, including resource limitations and outdated content, and examines students’ limited data privacy awareness. By combining curriculum theory with advanced privacy-preserving techniques, we offer a framework for more secure, personalized, and efficient multimedia-based learning. Simulation results validate the effectiveness of our approach, advancing interactive educational technologies.