The Study And Application Of Clustering Algorithm Based On The Web-based Intelligent Educational Platform

With the rapid development of Internet and the prevalence of Personal Computer, long-distance web-based education as a new,advanced teaching model is more and more popular,became a focus in the education field in recent years,so the research and construct web-based educatinal platform has also became faddish.However looking at the existing web-based educational platform,there are following questions:structure is too complicated, arrangement are not clear,targets are not definitude;teaching form are boring, and not inspire students'intersting;different students make use of the same teaching methods,etc..These problems not only affected the teaching results in varying degrees, but also constrained the development of web-based education.The subject of the thesis comes from the provincial education department projects "embedded intelligent web-based educational platform",study and construct intelligent embedded internet teaching platform,can be achieved online teaching,online FAQ,online exchanges,and online testing.The educational platform included a large number of embedded system files,coursewares,resourcese,etc..Through the online teaching mode,achieved the complex and application professionals,it is great significance for the web-based education.In the paper,the author participated and achieved the embedded intelligent web-based educational platform,designed style,developed model, and achieved the forum,course center, resource center,and so on several core modules;While in the paper,the"personalized intelligent"teaching concept is summarized, designed and achieved the personalized intelligent learning system.A new GBKM clustering algorithm was taked out based on research in the clustering algorithm concept, principle, classification, other related technologies, and the development at home and abroad.GBKM integrates the Grid-based clustering and K-means clustering, and presents a new algorithm of the grid partition and the new formula of density threshold, though the theoretical analysis and experiment,demonstrated the superiority of GBKM clustering,the clustering results is satisfying.At the same time,GBKM clustering was used in the intelligent web-based educational platform as the c``ore algorithm of test results analysis in the personalized intelligent learning system.The system can analysis the test results by GBKM clustering and ratain the users'personal characteristics,then based on the analysis results offeres the targeted, personalized learning strategies and learning guide for the users,it achieved satisfactory"personalized smart"teaching effect.