摘要
量化学习的前提是建构数据化认知,核心是提供个性化学习服务,目标是构筑新的学习方式。量化学习实践过程是由数据、学习者、其他利益相关方和学习服务连接而成的具有适应性反馈的闭环系统。量化学习以信息技术与教育的深度融合、技术的进步和产业的发展以及教育教学理论的创新为驱动。量化学习可推动构建面向新时代需求的教育新形态,助力形成"学生中心化"教育服务理念,促进落实适应个性发展的教育改革创新。量化学习在个性化学习诊断、学习路径规划、个性化学习推荐、学习状态可视化及学习干预等应用领域展现出广阔的发展前景。
Quantified learning is a new way of learning dependent on data cognition which aims to provide personalized learning service. Quantified learning process is a closed loop system with adaptive feedback, which is composed of data, learners, stakeholders and learning services. The deep integration of information technology and education, the progress of technology and the development of industry, and the innovation of educational teaching theory, have driven the development of quantified learning. Quantified learning is valuable to construct a new education pattern for the time demands, to form student-centered concepts of education service and to promote the implementation of the education reform and innovation to adapt to the personal development. Quantified learning will be applied to personalized learning diagnosis, learning path planning, personalized learning recommendation, learning status visualization, and learning intervention.
出处
《教育研究》
CSSCI
北大核心
2016年第7期119-126,共8页
Educational Research
基金
国家社会科学基金项目“面向高校青年网络行为的情感识别关键技术研究”(项目编号:14BGL131)的阶段性研究成果
关键词
量化学习
个性化学习
量化自我
学习分析
quantified learning, personalized learning, quantified self, learning analysis
