Design And Implementation Of Personalized Teaching System For Online Learning

With the advent of the Internet era,network technology has been integrating into education and teaching.As a derivative of the new teaching model,personalized teaching promotes the development and transformation of traditional education and teaching.In recent years,more and more schools have actively changed their teaching concepts.They accelerate the pace of educational information organization and share educational resources.As we have seen,personalized teaching platforms are established to improve daily teaching,and the students are encouraged to solve difficulties in learning autonomously by means of information technology.To a certain extent,these measures are helpful in improving learning effects and promoting practical abilities.However,due to the lack of enthusiasm,autonomy and inadequate teacher-student interaction,the individualized teaching encounters great difficulties.In this paper,the key issues that need to be solved in various personalized teaching platforms are analysed,and the feasibility of personalized teaching are studied with the method of online learning.In order to meet the students' needs of individualized learning and to support the teachers' evaluations on personalized teaching,a personalized teaching system for online learning was designed and developed,which is used to enhence the online personalized teaching function in the course of Python Data Analysis.The main functions of the system are outlined as follows:1.Personal data acquisition module for users' portraits.In this module,personal information of each student is obtained for a comprehensive description of the person.,which includes name,gender,class,college,date of birth,and hobbies,so as to collect information in multiple dimensions and achieve data collection and statistics for users' portraits.2.The course recommendation module based on users' interests.In this module,personal data obtained are analysed,then the hybrid recommendation algorithms are applied to carry out personalized curriculum recommendation according to the characteristics and interests of each user so as to meet the individual learning of each student.In this way,the blindness and the herdity are reduced during course selection,individualization teaching are realizes finally.3.A course evaluation module with performance in forum.The curriculum in the system has a corresponding curriculum evaluation system.Using problem-based learning(PBL),the teacher releases a typical problem,and the students have a discussion with effective speech after personal learning.Therefore,the number of likes is counted in the corresponding assessment scores,In this way,the enthusiasm of teacher-student interaction is mobilized to a high degree,so that online teaching is developed smoothly and effectively.The test results show that the system is effective.To a certain extent,it solves the problems of low enthusiasm,low autonomy and rare interaction between teachers and students in the online learning,and it provides a certain degree of personalized teaching services for online learning.In general,the system meets the needs of the current development of teaching.It not only helps the teachers carry out personalized teaching,but also meets the individualized learning needs of students.