A Teaching Study Of Chemistry Review Course In Senior Three Based On The Data Analysis Of Intelligent Learning Network

With the rapid development of science and technology,information technology has been applied to all fields of society.Education is no exception.In recent years,with the continuous development of "Internet plus education",various new teaching methods,such as flipped classroom mode,are constantly applied to teaching,and various technical means also make teaching methods more flexible and diverse.Especially for the teaching under the guidance of "big data",the school has introduced the intelligent learning network data platform,which can record the learning data generated by students in the learning process in an all-round way.Meanwhile,the platform has a rich question bank,and teachers can flexibly choose the questions with different levels to assist teaching.According to the data generated by students in learning,teachers can not only find the weak points in their own classes,but also compare and understand how much each student grasp and the progress and high error rate vertically.The characteristics of chemistry in senior high school are as follows: the difficulty of knowledge is greater than that in junior high school,and the knowledge points are more scattered.Especially in the third grade of senior high school,the traditional chemistry review pursues high capacity.The teacher hopes to review all knowledge points quite well,but the review time is limited,many students can't keep up with the review rhythm of the teacher,in the meanwhile the teacher can't accurately grasp the problems of the students,so the final review result is not satisfactory.By referring to the key words of "chemistry review in senior three" and "big data of education",this paper sums up and analyzes the relevant literature,and understands the research on data software assisted effective review and error sorting in chemistry teaching at home and abroad.Through the use of Zhixue network platform in the past two years,the function of Zhixue network has been explored and tried continuously.Combined with the educational data analysis function of the intelligent learning network,a new teaching mode has been formed by improving and innovating the traditional knowledge point review and exercise assessments,including the knowledge point review mode designed by "new five steps" and exercise assessments designed by "four categories method".In order to compare the differences between the traditional review teaching and the review teaching based on the intelligent learning network data,two classes in Shenyang No.120 middle school are selected as the research objects.The review teaching based on the intelligent learning network data is applied to the experimental class and the traditional review teaching is applied to the control class.The research lasts four months.In the later stage of the research,a survey was conducted for all students in the two classes,the teachers were interviewed,and the scores of the two classes were compared.The research conclusion is as follows: the review teaching based on the data of intelligent learning network is more targeted,and the recognition degree of students is higher,compared with the traditional review mode.While ensuring the teaching progress,the interaction between teachers and students is increased.Through the new review teaching,the scores of excellent students,average students and students with learning difficulties are significantly improved.