Research On Evaluation Of Learning Achievement Based On Cognition And Knowledge

With the rapid development of information technology,educational science research has become more and more diversified,and educational evaluation is also facing unprecedented reform.Innovating scientific evaluation tools,improving the use of evaluation results,and giving play to the diagnosis,identification and prediction of evaluation results under the data drive will be the tendency of education assessment in the future.The data source dimension and evaluation angle of education evaluation are single at the moment,lacking the explanation of education theory and evaluation results;At the same time,there is a lack of in-depth research on the cognitive characteristics of different groups;In addition,it ignores the impact of online learning process on students’ learning performance.Based on this,in order to achieve scientific evaluation based on education theory,this research constructs an evaluation model of learning achievement degree based on cognition and knowledge,and at the same time,it visually displays the cognitive characteristics of different groups of students.Finally,it explores the impact of students’ online learning behavior and learning performance,and carries out a closed-loop evaluation method of evaluation,prediction,and re-evaluation.The main research contents are as follows:(a)Build a learning evaluation model based on education evaluation data.This part introduces the process of building learning evaluation pattern at length including logical pattern and process pattern.The research is mainly around the course of College Computer Fundamentals.First,collect the final test data of the course,code the data according to the theory of cognitive twodimensional target classification,compile the calculation program according to the calculation formula of achievement degree of Q matrix theory,use Python compilation tools to realize the calculation function,and design the prototype of Q matrix calculator,so as to obtain the results of cognitive goal achievement degree and knowledge point mastery degree,Finally,according to the calculation results,analyze the students’ cognitive goal achievement and knowledge point mastery.(b)Visually analyze the cognitive structure characteristics of different groups of learners.First,the general process of visual analysis of evaluation data and the basic process of cognitive network analysis are introduced.Secondly,statistical analysis of learners’ gender,college and learning performance,based on which to divide groups.Then,the data is sorted out according to the general process,coded according to Bloom’s two-dimensional target taxonomy and the knowledge points of the textbook,and the processed data is imported into the ENA Web Kit tool according to the rules and the correct format to generate visual views of different groups.Finally,based on the answers to the test questions,the author establishes students’ cognitive relationships,analyzes the cognitive characteristics of different groups,and puts forward teaching suggestions to teachers according to the experimental results of different groups’ cognitive differences.