基于知识点分类的学习策略研究  

Research on Learning Strategy Based on Classification of Knowledge Points

作　　者：周健[1] 孙丽艳[1] 高玲[1] 武凌[1] ZHOU Jian;SUN Li-yan;GAO Ling;WU Ling(Management Science and Engineering School,Anhui University of Finance and Economics,Bengbu Anhui,233041,China)

机构地区：[1]安徽财经大学管理科学与工程学院,安徽蚌埠233041

出　　处：《晋中学院学报》2021年第3期35-39,共5页Journal of Jinzhong University

基　　金：安徽省省级质量工程“电子信息工程智能控制卓越工程师培育计划”(2019zyrc046);安徽省省级质量工程“基于大数据的智慧课堂建设”(2019jyxm0191);安徽省省级质量工程“面向新文科的人工智能专业建设”(2020wyxm019);安徽省省级质量工程“区块链电子货币交易虚拟仿真实验教学项目”(2020xfxm01);新农科建设项目“频繁模式下智慧课堂知识点学习轨迹研究”。

摘　　要：准确而高效地为学习者提供学习策略是智慧课堂的重要研究内容,然而学习过程是一种非线性过程,难以使用数学模型表示决策过程.研究知识点属性和学习策略,构造知识点属性输入集合和学习策略集合,通过知识点属性和学习策略之间的先验知识构造训练集和神经网络构造学习策略的分类模型,在已知知识点属性的前提下可给出高置信度的学习策略.该方法满足了智慧课堂自主学习策略,适用于不同的学习内容,能够在较小的训练集下得到较高准确度的学习策略分类方法.Providing learning strategies for learners accurately and efficiently is an important research content of smart classroom.However,learning process is a non-linear process,so it is difficult to use mathematical model to represent decision-making process.This paper studies the attributes and learning strategies of knowledge points,constructs the attribute input set and learning strategy set of knowledge points,constructs the training set through the prior knowledge between the attributes of knowledge points and learning strategies,constructs the classification model of learning strategies through neural network,and gives the learning strategies with high confidence on the premise of knowing the attributes of knowledge points.This method can meet the requirements of autonomous learning strategies in smart classroom,and can be applied to different learning contents.It can get a learning strategy classification method with high accuracy in a small training set.

关 键 词：智慧课堂 知识点属性 学习策略 神经网络 分类模型 

分 类 号：O157[理学—数学]