| With the rapid development and widespread popularization of Internet technology,the concept of “Internet Plus”has been widely applied to various industries in society,and the education has taken an important rule in it.Quality education has always been a hot topic of discussion in society,however,it is a complicated task that how to achieve personalized education on the premise of conforming to China’s national conditions.We need to teach students in accordance with their aptitude and provide reasonable and targeted guidance on the basis of the characteristics of each student.This paper presents an improved adaptive backtracking algorithm by reading and studying the related literature.A feasible solution to catching the root of the wrong question is designed and completed.Firstly,we introduces the relevant knowledge of the Item Response Theory.Secondly,we introduce the theoretical content of the knowledge point structure.Lastly,we discuss the backtracking algorithm in detail.As a priority searching method,backtracking algorithm’s principle is simple,clear and strong practical.Moreover,it has the characteristics of all possible parent of knowledge points that can search for incorrect question points.However,it also has obvious defects.For example,when the additional test items given by the parent knowledge points,is correct,how to determine the root cause of the wrong question is a problem.In addition,if there is more than one wrong answer or all answers in the test item are wrong,how to judge the root cause of the wrong question is caused by which one caused by the same bad judgment.Now this paper gives a related discussion about it.We use MATLAB as a development language,SQL Server 2014 as a database server in the actual backtracking algorithm program test.Respectively,we use the simulated data and real data to test the answer process,and achieve the desired results.At the end of the paper,the further improvement of the algorithm design is discussed. |
