重庆教育学院学报
重慶教育學院學報
중경교육학원학보
JOURNAL OF CHONGQING COLLEGE OF EDUCATION
2012年
6期
8-11
,共4页
学习效率%马尔可夫链%转移概率矩阵%极限概率%条件数学期望
學習效率%馬爾可伕鏈%轉移概率矩陣%極限概率%條件數學期望
학습효솔%마이가부련%전이개솔구진%겁한개솔%조건수학기망
learning efficiency%Markov chain%transition probability matrix%limiting probabilities%conditional mathematical expectation
本文利用马尔可夫链理论,在教学条件基本稳定不变的前提下,构建学生学习状态转移概率矩阵,用极限概率预测学生今后的学习状态,运用条件数学期望分析学习状态转变对学习效率的影响,建立预测远期学习效率的数学模型。
本文利用馬爾可伕鏈理論,在教學條件基本穩定不變的前提下,構建學生學習狀態轉移概率矩陣,用極限概率預測學生今後的學習狀態,運用條件數學期望分析學習狀態轉變對學習效率的影響,建立預測遠期學習效率的數學模型。
본문이용마이가부련이론,재교학조건기본은정불변적전제하,구건학생학습상태전이개솔구진,용겁한개솔예측학생금후적학습상태,운용조건수학기망분석학습상태전변대학습효솔적영향,건립예측원기학습효솔적수학모형。
Applying Markov chain theory and under the premise that the teaching condition is stable,we construct a transition probability matrix of students’ learning state,forecast their future learning state by the limiting probabilities,analyze the impact of their learning state transformation on their learning efficiency by conditional mathematical expectation and establish a mathematical model for forecasting their future learning efficiency.
