applied in various fields [2], particularly in the area of education [3], which has received widespread attention from researchers. The immersive and interactive features of immersive virtual reality provide necessary technical and environmental support for learners' deep learning [4]. The immersive features of virtual reality can provide learners with multi-spatial perspectives and situational experiences, which helps to enhance their learning effectiveness. The interactive features of virtual reality can provide learners with an immersive feeling and personalized learning experience, improve learning effect and memory, and provide practice and experiment opportunities through environmental interaction [5]. In addition, the IVR environment can also be used to complete experimental tasks that are difficult to complete in traditional teaching, thereby improving learning effectiveness. IVR technology is a new educational tool. In this environment, the learners' degree of learning engagement is closely related to the learning effect. Therefore, how to accurately and objectively use computer vision to evaluate learners' learning engagement in immersive virtual reality environments has become a highly concerning issue. Research on intelligent analysis systems for Teaching and Learning Cognitive engagement in immersive virtual reality environments based on computer vision is a new and prospective field. At present, most research on cognitive engagement in learning adopts a combination of subjective self-reporting and cognitive testing for analysis. Some studies used physiological indicators for analysis and evaluation [6] and some used computer vision to detect learners' emotions and behavioral performance for automated analysis, etc. In recent years, researchers have been developing systems that can monitor learners' attention, emotion, cognitive load, and other cognitive states in real time, to provide personalized learning support and assessment. However, there is still little discussion on the intelligent assessment of cognitive engagement in learning.  
This research aims to design and utilize a system for ally, analyzing learners' cognitive engagement in the learning process using computer vision technology combined with an immersive virtual reality environment. This research is of great significance. In recent years, domestic and foreign academic circles have been relatively active in the study of learning engagement and a certain number of published articles have been accumulated [7]. This article mainly studies the intelligent analysis system of Teaching and Learning Cognitive engagement, which deepens the research on the intelligent evaluation of Teaching and Learning Cognitive engagement based on previous research, promotes the development of related research, and provides a certain theoretical basis for future research. Through this study, learners' cognitive investment in learning in the virtual environment can be analyzed to help students deeply appreciate the learning state in the learning process and to self-regulate accordingly, to enhance the learning effect. Furthermore, the system can optimize the effect and attractiveness of virtual reality education [8], promoting the development of educational technology towards intelligence and personalization, introducing advanced technological means and methods for smart education, and promoting the development of intelligence education [9], further promoting the training of talents and, ultimately, boosting the innovative development of the country. Therefore, the application of an intelligent analysis system for Teaching and Learning Cognitive engagement in an immersive virtual reality environment based on computer vision is of great significance.