Research On The Prediction Model Of College Students Self-regulated Learningabilitybased On IData

Nowadays,the culture of self-regulated learning ability is essential,the prediction and evaluation of self-regulated learning ability is an effective way to enhance the ability of self-regulated learningof college students.iData is called "small data" or "my data",it is an individual-centered data.The individual is the only study object of iData that is all-weather in-depth accurately mined and used,especially in depth.The prediction and evaluation of self-regulated learning ability is based on the individual,this paper combines the prediction and evaluation of self-regulated learning ability of college students with iData technology,and studies the prediction model of self-regulated learning ability of college students based on iData which has important practical application value.This paper gives an overall framework on the basis of analyzing and studying iData and the theory of self-regulated learning ability of college students for the research status of self-regulated learning ability assessment.The prediction model and the method of prediction error of college students self-regulated learning ability based on Markov Chain are designed.At the same time,the evaluation method of college students self-regulated learning ability is given.The algorithm of calculating the state transition probability matrix is studied emphatically for the Markov Chain prediction model.In view of the comprehensive evaluation of self-regulated learning ability and the evaluation method of individual indicators,the comprehensive evaluation methodis mainly based on the fuzzy comprehensive evaluation method for this paper.This paper realizes the main function modules of the overall framework of college students self-regulated learning ability prediction,including self-regulated learning ability prediction module based on Markov chain model,self-regulated learning ability prediction error test module,self-regulated learning ability evaluation module based on fuzzy comprehensive evaluation method.Finally,the platform of college students self-regulated learning ability based on this framework is designed,the integration of whole process of college students self-regulated learning ability prediction and assessment is realized,and intuitive way of the chart is used to show the results.The functions of questionnaire,self-regulated learning statistics,self-regulated learning ability prediction,self-regulated learning ability comparison and self-regulated learning ability analysisis designed for the platform.Through the platform,college students can continue to detect and adjust for self-regulated learning ability,and ultimately achieve the purpose of improving self-regulated learning ability.