Analysis And Suggestions Of School Teachers' Information Behavior Based On Computer Use

In order to provide teachers with accurate information services,provide effective information training for teachers,and provide scientific and accurate decision support for schools and education departments,it is crucial to analyze teachers' information behavior,grasp the status quo and existing problems of teachers' information behavior.At present,there is a single data collection and analysis method for related research,and the development of technologies such as big data,the Internet,and artificial intelligence has given education research a new approach in all aspects.By applying these new techniques to the analysis of teachers' information-based behavior,we can better grasp the status quo and problems of teachers' information-based behavior.This article analyzes the teacher's information behavior from the background of big data,collect computer usage data of the school through platform acquisition.The objective data were analyzed through outlier analysis,cluster analysis,natural language processing,descriptive statistics,time series analysis,etc.To find status and conclusion that are difficult to find by questionnaire,interview,observation and other methods.First of all,this paper use the definition and classification of existing informationbased teaching tools to classify information-based teaching tools into computer hardware,computer software,and digital education resources.Computer software is divided into four categories: multimedia teaching software,information retrieval tools,information exchange and sharing tools,and network classroom management tools.Secondly,statistics information-based teaching tools commonly used by teachers,analyze the informational teaching tools of teachers by segmenting the headings,and construct a set of keyword categories of educational information tools.Based on this set,rules-based algorithms are used to classify and store the data,while preprocessing the data.Finally,draw lessons from previous research and the standard of primary and secondary school teachers' information technology application ability(trial).From four aspects: teacher's information technology application,lesson preparation behavior,teacher teaching evaluation and diagnosis,teacher learning and development,analyze teachers' information behavior through statistical analysis,outlier analysis,cluster analysis based on DBSCAN algorithm,natural language processing,and time series analysis,diagnoses the existing problems,and finally provides some Suggestions for the current situation and problems.Based on the analysis results,we can find that the teachers of the school have bad computer usage habits and low usage rates;lack of multimedia teaching tools;insufficient use of digital education resources and single way to get them;informational teaching evaluation and diagnosis methods are few and rarely used;less network training methods and rarely used.