Research And Practice Of Network Teaching Data Analysis Based On Weka Platform

At this stage,the rapid development of society,and the innovation of computer technology.In the field of education,the Internet and education of this traditional industry has become a new hotspot,the relevant interdisciplinary experts based on this topic launched a wide range of research.The online classroom,represented by shared knowledge resources,is also growing faster,such as the Tsinghua online,the superstar network learning platform,and the overseas online courses as Coursera and Udacity and edX are extremely rich in resources,some excellent Teachers also joined them,brought the quality of teachers resources.However,due to the limitations of the platform function,there is no relevant data analysis for some students' learning log,learning path and so on.It is difficult for teachers to understand the learning ability and learning style of each student.So they can not target to develop personalized teaching objectives.In this paper,we use the data mining tool Weka,for a large number of teaching data,student behavior data,student learning trajectories,etc.,which are generated by Shandong Normal University Superstar network learning platform.Specific research objectives are as follows:1.Carry out the concrete excavation analysis,make full use of the relevant data mining algorithm to find the real impact of student achievement factors,to provide teachers with the quality of teaching analysis and improvement.2.Student Competency Clustering Analysis: Use the relevant clustering algorithm to combine students with the same or similar style to unify the teaching objectives management and find the link between students and students.3.Through the teaching practice and the exchange of feedback with the teacher,put forward four kinds of learning style data quantitative indicators,teachers can learn the data for students to learn different learning styles of students,while the relevant task placement and management,to achieve personalized teaching.4.Aiming at the data mining demand of different teachers,a framework of performance analysis platform module is proposed,which can help teachers to dig out the relevant data for the students' actual situation and reduce the teaching cost of teachers.This article has three main innovations:1.Technical innovation: to improve the past in the field of education through the questionnaire to conduct teaching analysis of the practice,make full use of theadvantages of the algorithm,the data quantification,through the scientific algorithm for data processing and analysis,making the entire data analysis rigorous,operational relatively strong.2.Innovation on the model: the establishment of a data mining model,through student data analysis of different learning styles of students and the relevant quantitative indicators,teachers can establish different learning style of student groups,so as to develop personalized teaching objectives,improve students' awareness of innovation and Sense of cooperation.