检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王君[1] 黄永辉[1] 李云晖[1] WANG Jun;HUANG Yong-hui;LI Yun-hui(Harbin University,Harbin 150086,China)
机构地区:[1]哈尔滨学院
出 处:《黑龙江高教研究》2020年第1期54-58,共5页Heilongjiang Researches on Higher Education
基 金:黑龙江省教育厅教学改革项目“混合式教学中大学生深度学习场域的构建”(编号:SJGY20190402);哈尔滨学院教师教学发展基金项目“基于泛在空间下深度学习的开放式教学研究与实践”(编号:JFXS2019004)
摘 要:泛在学习环境以普适技术和无处不在的环境支撑,实现随时随地随心学习,极大地改变学生的学习方式,但碎片化、非线性化以及去中心化等特点也导致深度学习目标偏移,浅层学习泛滥。文章拟回应泛在学习环境下的深层学习这一时代诉求,对学习者深度学习空间进行场域解释。从泛在学习环境下大学生深度学习场域的建构基础与方法论分析给出生态系统场域解释,继而对生态系统中的场域支撑和保障追求进行详细探讨:以开放性问题促使学习有效发生,以个性化资源重建营造探索空间,以对话为特征开展实质交互,以元认知评价疏通探索之路,以深度示范为场域建构的重要保障,最终为实现沉浸式深度学习而不懈追求。U—learning environment,with its universal technical and environmental supports,helps realize free learning anytime and anywhere.It changes student*s learning style greatly.However,fragmentation,non-linearity and decentralization also lead to the deviation of deep learning objectives and the overflow of shallow learning.This paper intends to respond to the appeal of deep learning in the U-learning environment and interpret the field of learners5 deep learning space.From the perspective of constructing basis and methodology analysis of deep learning field in U-learning environment,we explain in the field of ecological system,and discuss in de・tail the supports,assurances and pursuits,open questions inspired learning effectively,to build exploring space reconstruction with personalized resources and conduct substantial interaction by dialogue.This paper also uses metacognitive evaluation to clear the way of exploration,using demonstration in depth as an important guarantee of field construction,eventually unremitting pursuit for the realization of immersion depth study,and realizing immersive deep learning by unremitting efforts.
分 类 号:G645[文化科学—高等教育学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.129.71.225