This study constructs an intelligent classroom teaching evaluation system integrating multimodal deep learning. Based on models such as computer vision (ResNet+Pose Estimation), speech processing (CNN+LSTM), and natural language processing (BERT+Transformer), the system comprehensively analyzes multimodal data including students' facial expressions, speech emotions, and classroom speaking content, to accurately quantify student focus, classroom interaction index, and […]

This study focuses on the application of Stable Diffusion-based generative AI tools in environmental art design education. Through literature review, case studies, and process-based design methods, it explores the application value and optimization space of its Text-to-Image and Image-to-Image functionalities. Results show that the tool can provide instant visual feedback, expand the boundaries of design […]

This study adopts a quasi-experimental design, targeting nursing students in the transition from secondary to higher vocational education, to explore the impact of the integrated teaching model on their caring ability and core competencies. Results show that the experimental group significantly outperformed the control group in multiple indicators such as nursing caring ability, cognition, courage, […]

This study explores the application of cloud computing technology in basic computer teaching in colleges and universities, analyzes its application scenarios in teaching resource sharing and optimization, virtual laboratory construction, personalized teaching support, and cross-school resource collaboration. It elaborates on its advantages in improving teaching efficiency and optimizing resource allocation, while pointing out challenges such […]

This paper discusses the current situation and SWOT (strengths, weaknesses, opportunities, threats) of Sanya's sports tourism industry development under the background of "Event + Travel", and puts forward corresponding development countermeasures. Sanya has rich tourism resources, suitable climate conditions and policy support, but its sports tourism has problems such as insufficient service standardization, homogeneous products […]

This study selects listed logistics companies from 2017 to 2021 as samples, uses Data Envelopment Analysis (DEA) to construct an operational efficiency evaluation system, and combines multiple regression analysis to explore the impact of blockchain application on the operational efficiency of logistics enterprises, as well as the moderating effect of company size and logistics specialization. […]