Research On The Application Of Intelligent Classroom And Classroom Intelligent Teaching Evaluation

Under the background of comprehensively promoting information-based teaching,the classroom construction of the school is also developing in the direction of specialization,connotation and wisdom.The smart classroom is not only the optimization and upgrading of teaching equipment,but more importantly,it acquires educational data through equipment and supports teaching reform with data.The smart classroom system has functions such as data processing,environmental control,analysis and decision-making,and teaching evaluation.Therefore,the more convenient,stable,and compatible the system,the better the system's usability.At present,domestic smart classroom system solutions stay at the functional architecture level,resulting in insufficient analysis of educational data,and the system integration is not high.Different device development languages and communication mechanisms are quite different,resulting in poor subsystem switching and data communication.The use of various advanced equipment has led to an increase in the ease of operation of the system.In response to these problems,research is carried out in two aspects: system software design and teaching evaluation application.The research content mainly includes the following aspects:(1)The software divides the smart classroom system into three subsystems,namely the intelligent monitoring management system,the intelligent recording and broadcasting system and the classroom teaching evaluation system.The system software operation page adopts a simple design style and combines the intelligent system controller developed by the TPC7062 Hn type touch screen to realize intelligent control of the device,thereby improving the operation convenience of the system.The intelligent monitoring and management subsystem was built on the Visual Studio 2010 platform.The intelligent recording system and the C# development API interface provided by the teaching evaluation system were used to complete the integration of the three subsystems,thus solving the problem of system integration.(2)By studying the knowledge of face recognition algorithm,micro-expression recognition algorithm and educational psychology,the API is used to implement the custom algorithm to develop the teaching evaluation system.Analyze the influence of the color system of the wisdom classroom on teaching,and design a method of concentration evaluation from the psychology theory of emotions,so as to obtain teaching evaluation indicators such as head-up rate and concentration.The application of the teaching evaluation system represents the entry of teaching research into the data analysis stage,which solves the problem of insufficient analysis of educational data to a certain extent.(3)Experimenting in a smart classroom environment,the experiment mainly focuses on the function and performance of the smart classroom system software.The teaching video data is collected,and the accuracy of tracking and positioning of teachers and students is found to be above 91%,which verifies the effectiveness of the tracking and localization algorithm of the intelligent recording and broadcasting system.Through the captured video,the face recognition accuracy experiment and the micro-expression recognition accuracy experiment show that the accuracy of the two experiments is about 90%,and the algorithm is effective.In the teaching evaluation concentration experiment,the concentration score given by the comparison system and the average of the concentration scores given by the four excellent teachers can be found that the scores of the two scores are similar,and the difference is within 10 points,and the system accuracy rate is Higher.The experimental results show that the system has strong stability and high accuracy,which solves the problem of insufficient system convenience and poor compatibility to a certain extent,and also provides a direction for the objectification of teaching evaluation.