Research On The Precise Teaching Design And Practice Of High School Chemistry Based On The Application Of Academic Big Data

Precise teaching and personalized learning are the pursuit and ideal of education at this stage.The class teaching system has the advantages of high efficiency,uniform standards,easy management,and promotion of teacher-student interaction,but there are shortcomings such as limited development of student independence and autonomy,unmet needs for personalized development of students,and lack of personalized guidance and tutoring for students.How to achieve precise teaching and personalized learning under the existing teaching organization form is a difficult problem that education researchers and practitioners are concerned about.With the advent of the big data era,the country has successively introduced relevant policies to promote the deep integration of information technology and subject teaching.Relevant policies point out that basic education should create a network learning space for students and pay attention to the collection and analysis of process data.Education researchers have also carried out research on the construction and practice of precise teaching frameworks based on big data,making it possible to achieve precise teaching and personalized learning through modern information technology.Precise teaching based on big data analyzes a large amount of daily academic data.On the one hand,it provides teachers with systematic and precise academic data for teaching design,optimizes classroom teaching design,improves the pertinence of classroom teaching,and achieves precise teaching;on the other hand,it provides students with question bank resources and feedback information to improve the effectiveness of after-school learning and achieve personalized learning.At present,educators have conducted a large amount of research on precise teaching based on big data analysis and achieved rich results.However,there are few practical researches on precise teaching of high school chemistry based on big data analysis,and there are many problems that need further research.Based on the above analysis,this article constructs a precise teaching model for high school chemistry based on the application of academic big data and conducts teaching practice in middle schools to verify the effectiveness of the precise teaching model.The specific content is as follows:Firstly,through methods such as questionnaires and interviews,we understand the current situation of middle school homework assignments and the application of big data in homework data processing,and analyze the current situation and problems of high school chemistry academic big data applications.It was found that student homework is mostly exercises on supplementary exercise books;during homework practice,schools have intelligent learning platforms that can provide data analysis support to achieve precise teaching and personalized learning,but a large amount of daily homework data is precipitated and difficult to achieve precise teaching And personalized learning.Secondly,by learning the terminal operation of the “Academic Big Data Platform”,we further understand the functions and characteristics of the “Academic Big Data Platform” in the process of using teacher terminals and student terminals.At the same time,understand the psychological characteristics of students’ learning.On the basis of following the principles of personalization,initiative,feedback,timeliness,and goal orientation,we constructed a precise teaching model for high school chemistry based on academic big data applications and refined the specific implementation and application of the model in three links before class,During class,After class.Thirdly,in order to verify the effectiveness of high school chemistry precision teaching model based on academic big data application,design a teaching experiment.On the basis of determining the object and content of teaching experiments,compile experimental measurement tools,formulate experimental models,experimental processes,conduct teaching practice.In experimental class,use high school chemistry precision teaching model based on academic big data application,in control class,use original traditional teaching model.Finally,by comparing pre-chemistry academic performance before experiment between experimental class control class,found two classes’ performance developed from no significant difference pre-test to significant difference post-test.By conducting platform use effect questionnaire survey experimental class students,found majority experimental class students’ chemistry learning attitude,learning method,learning efficiency all greatly improved,but time cost learning did not change significantly.In interview with chemistry teacher in experimental class about application of teaching model,teacher stated that application of teaching model can provide accurate academic data conducive to precise teaching expressed willingness continue use promote use among other teachers verify effectiveness high school chemistry precision teaching model based academic big data application.In summary,this study relies national education informatization policy focuses middle school teaching practice investigates specific problems middle school teaching practice based existing hardware facilities school transforms large amount daily homework data into teacher’s precise academic situation data actively explores mode method deep integration information technology subject teaching has positive significance achieving precise personalized learning.