Research On Light Environment Design Of University Intelligent Classroom Based On Behavioral Psychological Evaluation

As "intellectualization" has once become the product of the rapid development of information technology,smart classroom has become a hot topic for scholars.Effective teaching interaction is an important way to promote deep learning.From the perspective of social constructivism theory and "diversified development" teaching view,this paper constructs the teaching interaction framework to promote students’ in-depth learning in smart classroom,designs the evaluation method of in-depth learning results,and uses the experimental research method to explore the impact of teaching interaction on indepth learning by taking the course of "research methods of educational technology" as an example.By reading a large number of literature on the current situation of smart classroom,classroom lighting and behavioral psychological evaluation,this paper combs and excavates the literature on the lighting of smart classroom in Colleges and universities.It is found that there are few studies focusing on the actual economic benefits,actual teaching and effect evaluation of smart classroom.At the same time,through the research,it is found that the needs of users for classroom lighting are more diversified with the diversification of learning behavior.The research on learning behavior of smart classroom also promotes the further optimization of the light environment quality of smart classroom.By building the lighting experimental environment of the smart classroom,simulate the different illuminance values of the light environment of the smart classroom,and study the parameter combination that is most conducive to the improvement of subjects’ brain fatigue and work efficiency according to the user’s arrangement of different tables and chairs.The illuminance parameters are divided into six levels: 200 lx,300lx,500 lx,750lx,1000 lx and 1500lx;According to the arrangement of tables and chairs under three different learning behaviors(parallel arrangement,enclosed arrangement and grouping arrangement),different experimental schemes are cross combined.60 school students(24 males and 36 females)were selected as experimental subjects,and EEG signals were collected through the physiological recording instrument of BIOPAC company in the United States;The subjects’ mental work index(IMC index)was collected by dose operation method.Analyze the relationship between various indicators.The study found that:(1)most classroom lighting environment is difficult to meet students’ subjective needs;(2)Learning behavior in smart classroom is very important to the development of smart classroom;(3)The optimal lighting design scheme is obtained through factorial experiment(4)the environment of smart classroom is simulated.Make the illumination value and illumination uniformity of students’ desktop reach the illumination threshold range that meets students’ visual comfort.