摘要
随着信息技术的快速发展,大数据和云计算正成为推动教育系统创新与变革的颠覆性力量,通过数据挖掘和分析,能够实现学习者的学习行为和过程进行量化分析和建模研究,以此判断学习质量、预测学习趋势、促进高效学习。本文以“智慧学伴”自适应学习平台为例,以教育大数据促进精准教学以提升教学效果为目标,从常态教学的挑战与问题出发,提出利用大数据技术的学情分析、学习资源的个性化智能推送、基于大数据技术的学情分析以及大数据下的多维度教学评价等构建一套完整的个性化教学设计方案。重在解决传统教学中的学习对象认知不充分,学习资源无法满足大多数学生的需求,学情分析缺乏预警机制、学习评价方式单一等问题,从而形成智慧化的课堂。
With the rapid development of information technology,big data and cloud computing are becoming subversive forces to promote the innovation and change of education system.Through data mining and analysis,quantitative analysis and modeling research can be carried out on learners’learning behaviors and processes,so as to judge learning quality,predict learning trends and promote efficient learning.In this context,this paper takes the“Smart Learning Companion”adaptive learning platform as a research case,aims at promoting accurate teaching by educating big data to improve teaching effect,and starts from the challenges and problems of normal teaching,proposes to construct a complete personalized teaching design scheme by using big data technology,such as learning situation analysis,personalized intelligent push of learning resources,learning situation analysis based on big data technology and multi-dimensional teaching evaluation under big data.It is important to solve the problems in traditional teaching,such as insufficient cognition of learning objects,insufficient learning resources to meet the needs of most students,lack of early warning mechanism in learning situation analysis,and single learning evaluation method,so as to form an intelligent classroom.
作者
赵蕾
刘劲
陈彬茹
Zhao Lei;Liu Jing;Chen Binru(Air Force Aviation University,Changchun Jilin,130000)
出处
《电子测试》
2021年第14期118-119,60,共3页
Electronic Test
关键词
大数据
个性化教学
设计方案
Gig data
Personalized teaching
Design scheme
