The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning

This study integrates Internet of Things (IoT) technology with deep learning algorithms to propose a novel Educational Intelligent Multimodal Optimization System (EIMOS) model. It aims to better address the issues of personalized educational resource recommendation and delayed dynamic response in the talent cultivation model for higher education study tours. The system utilizes IoT devices to collect real-time data on students' learning behaviors, social interactions, and environmental perceptions, which are then analyzed through multi-level feature extraction and deep learning algorithms. The research data comes from publicly available course data such as those from Coursera, encompassing multimodal information including video lectures, text materials, interaction records, and virtual environment perception data. Verification results show that EIMOS achieves an accuracy of 0.98 in real-time feedback on teaching content. The personalized recommendation accuracies for learning behaviors and environmental perception are 0.93 and 0.92, respectively, confirming the system's efficiency in dynamic feature capture and learning resource optimization. Moreover, the introduction of the sentiment analysis module enables the precise detection of students' emotional changes during the learning process, achieving an accuracy rate of 0.91. Additionally, the system attains a student satisfaction score of 0.90, further enhancing its overall performance in teaching quality evaluation. Particularly in virtual teaching environments, EIMOS significantly enhances students' immersion and interactive experience through high-quality scene generation and real-time dynamic adjustments. This study aims to provide higher education practitioners with a practical intelligent teaching support tool, offering students more targeted learning resources and optimized pathways. The study contributes to the innovation of teaching models in the field of study tour education and provides both theoretical foundations and practical references for the future intelligent development of education.