Research On Teaching Process Management System For Wisdom Classroom

Since IBM introduced the concept of “Smart Earth” in 2008,more and more new concepts related to “wisdom” have been proposed.The “intelligent classroom” is a new classroom model and one of them is now.The wisdom classroom is also the focus and hotpot of scholars in many universities.It is against this background of society that this article has carried out research on the teaching process management system for wisdom classroom.The so-called smart classroom refers to the use of computers,mobile terminals,and Io T devices through advanced information technologies such as big data,cloud computing,the Internet of Things,and situational awareness to achieve resource sharing,learning content delivery,and various contextual information during the classroom teaching process.Collection and processing and instant feedback evaluation and many other features.Firstly,this paper systematically analyzes the research background and significance of this research system;then it studies the current status of professional technologies such as smart classrooms,smart campuses,various recommendation algorithms,indoor location algorithms,context awareness technologies and ontology reasoning technologies at home and abroad.A detailed elaboration and summary was made.Finally,for the research topic,notonly was the analysis of the classroom location scenarios,time scenarios,user scenarios,and equipment scenarios,but also various top-level ontology models were modeled using Protégé modeling tools,and detailed business requirements analysis,performance requirements analysis and functional requirements analysis were performed on this research system.Practical steps were also given for the specific implementation of each functional module,and inference function was also achieved by using Jena inference engine using pre-written rules.The main research work in this research topic is as follows:(1)Detailed analysis of various scenarios in classroom scenarios,including location scenario analysis,time scenario analysis,user scenario analysis and equipment scenario analysis,and the use of ontology modeling tool Protégé for these four top-level ontology Ontology modeling.(2)A detailed introduction to the acquisition and processing of various scenario data in the context awareness layer is provided.The collection of time data can be obtained through the system time of the device.The acquisition of location data needs to be obtained through a combination of both RFID and GPS.The acquisition of user's scenario information is collected through the camera.After analyzing these collected information,the established rules should be used to use Jena to reason about various scenarios.(3)In the recommendation service selection and invocation module,when the student user recommends the relevant learning materials,a user-basedcollaborative filtering recommendation algorithm is used so that the student student's reference learning material more closely matches itself.(4)This research project has realized online questioning function.Student users can ask teacher users online questions they want to consult.Teachers can also give immediate answers,making communication between teachers and students more timely and convenient.(5)Finally,a specific experiment was conducted on the research system of this subject,and all the functions that should be possessed by the module were basically achieved.Through the analysis of the experimental results,the feasibility and implementability of the proposed design were verified.The innovations in this article are as follows:(1)An improved VIRE indoor location algorithm was used to collect location context information in the classroom.The main improvements were reflected in the improvement of the threshold and the improvement of the weight factor.(2)In the classroom context,a variety of context information is integrated.After comprehensive analysis,a user-based collaborative filtering recommendation algorithm is used to recommend student learning materials suitable for them.