Research On The Influence Of Cognitive Flexibility Of Automation Students On Graphic Reasoning

Reasoning ability is the core component of intelligence.To study the deve lopment mechanism of reasoning for automation majors is helpful to reveal the characteristics and essence of students' thinking development.From the basic cognitive point of view,this study investigates the development of students' co gnitive flexibility and graphic reasoning by experimental methods,and discusses the eye movement characteristics and reasoning strategies used by students ma joring in automation with different cognitive flexibility and skill levels.At the same time,it finds out the influence of students' skill level and cognitive flexi bility on graphic reasoning.In Experiment 1,two factor experiment designs of 2(male,female)× 4(freshman,sophomore,junior and senior)were carried out through the Stroop t ask program written by prime.The accuracy,reaction time and effect quantity characteristics of Stroop task of automation students of different genders and gr ades were investigated.In Experiment 2,we also used prime to present Raven figures,and carrie d out a mixed experiment of 2(male,female)× 4(freshman,sophomore,juni or and senior)× 3(difficulty: simple,medium and difficult),in which the diffi culty was the internal variable of the subjects.We investigated the correct rate and response time characteristics of different gender and grade in different dif ficulty figure reasoning.In the third experiment,Eyelink ? helmet type eye tracker was used to d esign a mixed experiment of 2(cognitive flexibility: high,low)× 2(skill level:high,low)× 2(picture type: professional,raven).Among them,the picture ty pe is the internal variable of the subjects.The accuracy and eye movement ch aracteristics of the subjects with different cognitive flexibility and skill levels a re investigated.At the same time,the reasoning strategies of the subjects with different types are also investigated.The results are as follows:(1)there is no significant difference in cogniti ve flexibility scores of automation students,but the higher the accuracy of cog nitive flexibility is,the longer the reaction time is;(2)the accuracy of graphicreasoning of automation students in the fourth year is higher than that of fres hmen and sophomores,and the longer the reaction time is,the more difficult t he task is,the more positive the students are The lower the accuracy.(3)Cog nitive flexibility and skill level significantly affect the results of graphic reason ing of automation students.(4)Cognitive flexibility and skill level significantly affect the eye movement characteristics of automation students,that is to say,the average fixation time of different cognitive flexibility subjects is significan tly different in graphic reasoning,the longer the fixation time of low cognitive flexibility subjects is,the lower the reasoning efficiency is;the higher the skil l level,the larger the eye jump range of subjects is,and the wider the percept ual range is;the subjects are reasoning in different picture types The main eff ect is significant in average fixation time,saccade amplitude,scanning times an d fixation times,which shows that the extraction of Raven image is better tha n that of professional image.(5)In the area of interest,there are significant di fferences between subjects with different cognitive flexibility in the area of que stion stem and choice,and also significant differences in the area of choice a mong subjects with different skill levels.(6)The subjects with high cognitive f lexibility have better reasoning ability and are better at rule building model str ategy;the high skilled talents have better reasoning ability and are good at usi ng rule building strategy;the reasoning strategies used in different picture type s are different.