Research On The Construction Of Learning Style Behavior Collection Model In Big Data Environment

In the recent few years,as the development of Mobile Internet and Big Data,the field of education began to use new technologies to the new mode of teaching.MOOC(massive open online courses)has been popularized in different countries and used in the practical teaching since it is unlimited by time and space.Furthermore,the accelerating growth of Network Study Resources result in learners don not know where they should begin to study and how to choose learning contents when they face it,besides,each learner has different characteristics.How to provide learners with individualized learning support based on individual differences requires that the system can analyze and exploit learning behaviors of students on the basis of their learning record.Providing students with individual study resources or approaches according to the result of analysis.Only in this way can take advantage of Network Study Resources to make progress in education effect,and avoid that one size fits all,which means traditional teaching methods,then improve the efficiency of learning.To be the main factors of their learning features,learners' learning styles mainly decides learners learning process.So,it becomes a research pot that how to achieve the self-adaptive learning by identifying learners' learning styles.The traditional method to judge the learners' learning styles is questionnaire,but these learning styles acquired by this method can be inaccuracy.So,the method proposed in this paper is based on the learner's dynamic learning behavior data,digging out the learner's learning style,according to the excavated learner's learning style for learners recommend the corresponding teaching resources.Through the study of the existing domestic research on analysis of learning situations,most articles study on the direct result after they researched questions,explained the ideas and technologies,and not do detailed description on data collection.Therefore,the purpose of this paper is to identify learners 'learning style process for learners' learning behavior data,to establish a learning style data acquisition model based on large data based on learning style and scale,and then to apply them in a follow-up study The system collects and processes learners 'learning behavior data through large data collection,and analyzes and evaluates learners' learning styles.