Research On Key Technologies Of Personalized Education Recommendation System Based On Association Rules

Education is the cornerstone of social development,and countries have always put education in the strategic position of priority development.National education reform and development of long-term planning programs(2010-2020)issued by our country: realize education modernization by 2020.Network education is an important branch of modern education and has a huge market prospect.With the Khan Academy and MOOC’s impact on education,in recent years,there have been nearly a thousand kinds of education platform in the front of public,at the same time produced a huge amount of educational resources.With so many resources,as an adult needs to spend a lot of time and effort to search for,not to mention the students of the K12 phase.Therefore,it is urgent to pay attention to the personalized recommendation system which can meet the characteristics of K12 platform and user behavior.Moreover,the recommended technology in the field of e-commerce has been applied for many years is still lacking in the field of K12 education research and application,the current domestic market,the alleged personalized education of many online education platform are basically one-on-one teaching with tuition,without the use of recommended technology.Hence,the research on the key technologies of personalized recommendation system based on K12 education platform has practical significance of the development for online education.The main work of this paper is:(1)Investigated the present situation of the online education and the study of individualized education,and focuses on the K12 online education platform,and analyzes the situation of personalized recommendation of this kind of platform,which shows the urgency of personalized education recommendation system of the K12;(2)The current personalized recommendation system and related technologies which were widely used in the business field are introduced,laying the theoretical foundation for migration to individualized education platform of K12;(3)The association rule mining algorithm is introduced in detail;(4)Design of Personalized Recommendation Scheme of K12 Education Platform.Starting from the characteristics of resources and user characteristics of K12 education platform,design resource model and user preference model,and then through the knowledge transfer model to achieve personalized recommendation to users,and the recommended method is verified experimentally;(5)The realization of the personalized recommendation system of K12 education platform.