量化学习:大数据时代的学习方式  

Quantified Learning:The Way of Learning in the Big Data Era

作　　者：万昆[1] 刘华 WAN Kun;LIU Hua(School of Physics and Electric Information,Shangrao Normal University,Shangrao,Jiangxi,China 334001;Computer Network Center,Shangrao Normal University,Shangrao,Jiangxi,China 334001)

机构地区：[1]上饶师范学院物理与电子信息学院,江西上饶334001 [2]上饶师范学院计算机网络中心,江西上饶334001

出　　处：《数字教育》2018年第2期45-50,共6页Digital Education

基　　金：中央财政支持地方高校发展专项资金资助"大数据智慧教育服务平台建设"(09925);江西省社会科学规划"十三五"规划项目"地方本科高校MOOC推进策略与可持续发展研究"(16WT15)

摘　　要：未来人工智能、大数据、学习分析等技术被广泛应用于教育教学中,量化学习将成为新的研究热点。本研究首先对量化学习的内涵、特征、工具和方法进行概述,然后阐述了量化学习的价值意义和应用案例,进而分析了量化学习发展趋势与其面临的挑战。Technologies like future artificial intelligence,big data,and learning analytics etc.are widely used in education and teaching,and thus quantified learning will become a new research hotspot.This study firstly summarized the connation,characteristics,tools and methods of quantified learning.Secondly,it elaborated on the value and significance of quantified learning and some application cases of it.Finally,it analyzed the development trend of quantified learning as well as the challenges it faces.

关 键 词：量化学习 大数据 《地平线报告》(高等教育版) 

分 类 号：G434[文化科学—教育学]