泛在学习活动的知识流模型建构——基于信息传播过程模式

发布时间：2018-08-06 20:24

【摘要】：近年来,泛在学习的相关研究成果层出不穷,但大多是从技术应用或学习理论的角度进行探讨,甚少从其信息传播本身进行考察。通过文献分析、模式化研究和德尔菲调查法对泛在学习活动传播过程模式进行建构,并采用ISM模型方法进一步构建泛在学习活动的知识流模型,结果表明:(1)传播要素及模式:泛在学习信息传播包括信息传播者、教学信息、教学媒介、受众等四个基本要素,要素间相互影响、相互制约,并存在复杂的互动结构关系;(2)知识流影响因素:知识吸收能力(系统最底层)、知识共享风险、信任和承诺的能力、知识共享的态度、知识资源投入、学习者的学习期望(系统最顶层)是影响泛在学习系统中知识流动的六个要素;(3)知识流模型:泛在学习系统在信息传播的基础上产生知识的流动,其知识流模型可分为上、中、下三层知识流,在外部环境和学习者内部心理因素的作用下,知识产生共享、应用和创新。
[Abstract]:In recent years, the relevant research results of ubiquitous learning have emerged one after another, but most of them are discussed from the perspective of technology application or learning theory, and rarely from the perspective of information dissemination itself. Based on literature analysis, pattern research and Delphi investigation, this paper constructs the model of spread process of ubiquitous learning activities, and further constructs the knowledge flow model of ubiquitous learning activities by using ISM model. The results are as follows: (1) Communication elements and modes: ubiquitous learning information dissemination includes four basic elements: information communicator, teaching information, teaching medium and audience. (2) knowledge flow influencing factors: knowledge absorption capacity (the lowest level of the system), knowledge sharing risk, trust and commitment ability, knowledge sharing attitude, knowledge resource investment, Learners' learning expectations (the top level of the system) are the six elements that affect the knowledge flow in the learning system; (3) the knowledge flow model: the ubiquitous learning system generates the flow of knowledge on the basis of information dissemination, and its knowledge flow model can be divided into two parts. The next three levels of knowledge flow, under the external environment and learners' internal psychological factors, knowledge sharing, application and innovation.
【作者单位】：陕西师范大学教育学院;韩山师范学院教育科学学院;韩山师范学院就业办;
【基金】：2015年教育部人文社科一般项目“泛在学习活动的优化设计与效果研究”(课题批准号:15YJA880016) 2013年教育部人文社科青年基金课题“区域教育信息化推进策略与可持续发展研究”(课题批准号:13YJC880080)的研究成果
【分类号】：G434

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