Construction and practical exploration of a three-dimensional classroom interaction model for smart classrooms in universities based on big data

As we continue to move forward with advancements in information technology,big data and AI technologies are slowly but surely wiggling their way into the education field. They might be seen as the driving forces that are somewhat essential for educational reform and also possibly useful for improving teaching quality a bit. You could say that smart classrooms kind of represent a new wave in the teaching environment. These types of classrooms attempt to use big data techs to try collecting and then figuring out all sorts of data during the teaching process almost in real-time,giving an edge in optimizing some strategies.In thisthesis,I propose what could be called a 3D classroom interaction model which,let me clarify,is really intended for higher education and it leans on the power of big data tech. By looking at how teachers,students,and platforms interact within the system,this model makes an effort to explore its possible applications in regular classroom settings. There were these practical teaching experiments—I'm not saying they solved everything,but they were conducted to check if the model is both feasible and effective enough. The results supposedly demonstrate that the model enhances the overall quality of interactions in classrooms,boosts student learning experiences to a certain extent,and even ups student engagement and maybe satisfaction sometimes too.