| Learning disabilities(LD)have always been a practical problem in education and a hot topic in special education,which have been paid close attention to by many researchers.At present,the number of children with LD is increasing.Children's learning disabilities have become a scientific problem of pedagogy,psychology and clinical medicine,which has seriously affected the academic achievement and core literacy development of children with LD.With the progress of society,all countries in the world are aware of the importance of culture.To make rational use of cultural resources,it is necessary to cultivate their learning from childhood.Learning ability is an indispensable ability in people's social life.The LD is a particularly significant problem in the current school children's learning.The impact of learning is longer which may continue from the primary school learning process to the junior high school,high school stage and even the adult employment stage.In recent years,many countries have put the learning ability of children into the key projects of education,and many researchers have invested more time in LD in addition to continuing to study the causes and manifestations of LD.As a result of the evaluation and intervention,more research results have been obtained.However,most of the assessment and intervention studies are often complicated and require a lot of material and human resources.Especially if the early children are not diagnosed or diagnosed in time,or they are wrongly evaluated which means to have a great impact.This paper will study the psychological development characteristics of children with LD,and hope to analyze their key learning and behavioral characteristics indicators and build a big data database model.The LD should be perfectly integrated with big data technology and realized through educational big data.A series of tasks,such as student learning behavior analysis and monitoring,teaching guidance,special child learning assessment and management,will make education"intelligent".This study used the Pupil Rating Scale Revised Screening for Learning Disability(PRS)to conduct a preliminary screening of students with learning disabilities,and then conducted an IQ test to rule out the impact of intellectual factors on academic performance.With the analysis of in-depth interviews which were conducted with the substitute teachers of the students with suspected LD and the students'homework,the psychological development characteristics and unique learning behavior characteristics of the children with LD were obtained.In this way,it provides objective indicators for the identification and intervention of learning disabilities,constructs the evaluation criteria of big data systems,and forms a database of learning behaviors for students with learning disabilities.Based on this,the model of early warning and monitoring of learning disabilities under big data is established.The research conclusions are as follows:1)The LD screening rate has obvious gender characteristics,more male than female.The LD screening rate tends to decrease with age and grade.2)In the case of general education(no special education or compensation education for LD children),verbal LD symptoms may be improved with age and grade.Similarly,girls may have same LD symptoms trend,but this phenomenon needs to be tracked to be confirmed.3)Although LD children have a normal range of intelligence,they are still slightly lower than the control group.4)In the application of the diagnosis and treatment of children's LD,the'big data early warning model' will promote the further development of related research in children's LD with its powerful functions and advantages,and improve the efficiency of diagnosis and reasoning in the field of LD in the field of diagnosis and treatment.It is possible to effectively carry out the screening,diagnosis and intervention of children's LD in various situations. |
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