Research On The Application Of Online Learning Behavior Analysis In High School Information Technology Flips Classroom Teaching

With the rapid development of information technology education and various education service platform is more and more mature,so the learner's learning network data statistical analysis,independent decision-making to provide educational and teaching reference information and support for learners as teaching workers at all levels of education based on learning is important.Using the data of various learning network learning system or storage learning platform for learners,understand the learning progress and learning content in a timely manner through the study of analysis and statistical analysis methods to grasp the situation,and for the students' autonomous learning to provide personalized guidance and help,to achieve higher learning effect.This paper analyzes the data from the learning behavior of students according to the analysis result for students' learning and teachers' teaching provide corresponding learning and teaching strategies to help,high school information technology curriculum as the experimental course,by overturning the curriculum class teaching method combined with the flip experimental school information technology curriculum teaching goal in teaching practice and learning and related data the learning process of students were recorded and analyzed,according to different analysis results combined with the feedback strategy of flipping the classroom teaching and learning method to design the corresponding,providing learners with targeted self learning feedback and assistance,provide reference and help for teachers to carry out smoothly flipping the classroom.First of all,this paper analyzes and studies the learning environment of students and the basic knowledge and skills of students' information technology,and classifies the students' online learning behaviors from two aspects.Before class,the required learning materials should be uploaded to the Moodle platform,and the learning tasks will be handed out in the course.The students will use the learning resources of the platform to study autonomously and complete the tasks they receive.With the help of learning platform records and teachers' observation records,the students' learning behavior data is acquired.In the process of study,the following teaching contents areadjusted and the teaching activities are arranged according to the students' learning performance.Then using Spss statistical analysis method for data access to all functions of learning by using correlation analysis method for significant analysis on various learning behavior data,obtaining the student learning related to the existence of significant correlation between learning behavior in the process and module test.Through the analysis of a large number of learning behavior data,it is concluded that there are significant differences between different learning behaviors and module learning test scores.According to the analysis conclusion corresponding to the design of teaching and learning strategies to help teachers in the classroom teaching in turn according to the students' learning in the process of learning each link timely to assist and guide the students with learning difficulties,at the same time as the autonomous learning process of students to provide real-time warning and support strategies to promote students to study better.