Design And Research About Smart Learning System Of University Physics Courses

The rapid development of mobile learning technology and online education has brought new value and mission for teaching and learning.As a high-end form of learning style,smart learning has played an important role in changing the teaching model and realizing the new paradigm of education,and the voices are becoming louder and louder all over the world.It is a inevitable trend for the development of educational informatization to construct the smart learning system supported by informational technology and maximize the wisdom and function of learning and realize "smart" learning.College physics,as a public basic course for science and engineering students,is of great importance and status.In the actual physics teaching,there are many problems,such as too much content but less class hours.When students choose learning resources independently,it is easy to generate "trek" phenomenon,which affects students' learning efficiency.Therefore,this paper has a very important practical significance in using network and information technology,combining with the research on teaching principle in education of "College Physics" smart learning system,in order to provide intelligent,personalized and adaptive learning resources for learners,besides tracking learning and promoting learning.This article adopts the research method of "theory + technology".First of all,the content analysis method is used to sort out the current situation of smart learning.Then,a questionnaire survey is carried out to analyze the current study situation of university physics course,and to clarify the necessity of constructing university physics smart learning system.The factors that influence the learning style are studied,and the model of learning style initialization is determined combining with the learning goals,learning contents and online learning situation of the college physics curriculum.The following content is organized by Using ontology technology to build the university physics knowledge base,and realizing the knowledge point and learning path recommendation based on the Apriori algorithm.Then design intelligence learning evaluation,help learners record the learning process,diagnose the learning effect,and promote the smart learning.Finally,combined with the current trend of Internet technology,using the most popular HTML5 front-end technology,as well as JavaScript,JQuery,CSS,Jquery Mobile to achieve front-end interface and logical call,the paper display interface of the login module,learning style test module,learning module,tracking module.