摘要
大数据使学习科学的发展产生了质性革新,对推动学习科学合目的性与合规律性的统一具有重要的技术意义。通过检视和区辨大数据与学习科学的特质及关联,在抓好大数据为学习科学的发展提供新思维、新研究范式和新技术支撑机遇的基础上,明晰大数据本身裹挟的复杂性、涌现性、多维性、非结构性及迅速性等带来的泛化学习行为困顿,进而依据大数据信息技术突破防范学习科学“泛全缺深”的诟病、尝试单科线性学科域与系统学科的联动建构、构筑“科学—人文”并举的教学模式,助推学习科学更趋科学健康发展与进程完善。
Big data makes the development of learning science produces qualitative innovation,which has an important technical significance to promote the unity of purpose and regularity of learning science.Therefore,we should examine and distinguish the characteristics of big data and learning science,grasp the new thinking for the development of learning science,new research paradigm and new technology of support opportunities which are provided by big data.At the same time,the complexity,emergence,multidimensional,non-structural,and rapid nature of big data which brings the difficulties of learning behavior should be clearly defined.Furthermore,based on the breakthrough of the applicable technology of big data and the prevention of the common problems in learning science,this paper tries to establish the linkage between the linear subject and the system subject in a single subject,to construct the teaching mode of science and humanity simultaneously,and to promote the healthy development and improvement of learning science.
作者
张宏达
ZHANG Hong-da(School of Marxist,China University of Mining and Technology (Beijing),Beijing 100083,China)
出处
《内蒙古社会科学》
CSSCI
北大核心
2019年第5期191-196,共6页
Inner Mongolia Social Sciences
关键词
大数据
学习科学
机遇
困顿
策略
Big Data
Learning Science
Opportunity
Difficulty
Strategy