Research On The Design Of Online Learning System With Cognitive Style Classification Ability

With the rapid development of the Internet and the gradual maturity of modern technologies such as big data,the integration of education and technology continues to deepen.Online learning not only enables learners to study at any time and any place,but also provides a rich variety of learning resources and good interactive experience.It has become a popular new way of education.At present,the primary problem that restricts the development of online education is how to conduct targeted teaching according to the individual differences of students.Considering that cognitive style is one of the important concepts reflecting the individual differences of students,and there is a strong correlation between cognitive style and performance,Therefore,this paper USES artificial neural network algorithm to analyze the variation of learners' test scores,so as to automatically measure learners' cognitive style,And reference it to the online learning system.The system can remember learners' cognitive styles and provide them with learning resources with consistent cognitive styles.In this process of targeted teaching,learners get a service based on "personalization".This paper first discusses the concept of cognitive style,commonly used models and measurement methods,then analyzes and compares the commonly used classification methods of machine learning,and finally selects the artificial neural network algorithm for online learners' cognitive style classification research.Then,the method of online teaching content presentation based on cognitive style is sorted out.This paper mainly discusses the basic presentation method of teaching video supported by artificial intelligence technology and virtual reality technology,the cognitive style classification based on online learning,and the online video presentation method based on cognitive style,in order to prepare for the construction of personalized teaching resources in this system.Secondly,an artificial neural network(Ann)algorithm is proposed to analyze the variation of learners' test scores,so as to automatically identify learners' cognitive style types.Finally,an online learning verification system with cognitive style classification ability is designed.Specifically including online learning system overview,functional requirements analysis,outline design.