摘要
教育数字化战略的实施加速了以数字化为支撑的学习行为分析框架与理论模型建设的同时,也暴露出当前模型的教育解释力不足等新问题。文章试图以“场景”为研究切入点,借助“场景”作为洞察和解释人类社会行为的认知工具,从“场景”如何量化学习行为大数据的视角,建构一个可量化、可解释的学习行为分析框架,以更好地洞察与阐释隐藏在行为大数据背后的学习行为规律。研究从“场景”与“行为”的关联视角,深度剖析了“场景”与人类社会行为之间的关联渊源,以及“场景”对学习行为模式解释性的影响;再从数据驱动的量化视角,对场景量化的构成要素、特性等进行分析,深层次分析了场景驱动学习行为分析建模的量化逻辑;从场景如何解释行为模式的视角,围绕以“场景”为核心,构建一个数据驱动的学习行为分析的解释性框架,并探讨了该解释性框架的应用方向。
The implementation of the digitalization strategies for education has accelerated the construction of the learning behavior analysis framework and theoretical model supported by"digitalization",it has also revealed new problems such as the insufficient explanatory power of current models in education.The paper attempts to take"scenario"as the entry point,uses"scenario"as a cognitive tool to explain human social behaviors,and constructs a quantifiable and interpretable learning behavior analysis framework from the perspective of how"scenario"quantifies the big data of learning behaviors,so as to better explain the laws of learning behaviors hidden behind the big data of behaviors.Firstly,from the perspective of the correlation between"scenario"and"behavior",this paper deeply analyzes the relationship between"scenario"and human social behaviors,as well as the impact of"scenario"on the interpretation of learning behavior model.Secondly,from the perspective of data-driven quantification,this study analyzes the components and characteristics of scenario quantification,and deeply analyzes the quantitative logic of scenario-driven learning behavior analysis and modeling.Finally,from the perspective of how the scenario explains the behavior pattern,an interpretative framework for scenario-based learning behavior analysis is constructed with the"scenario"as the core,and the application directions of the interpretative framework are discussed.
作者
黄石华
武法提
HUANG Shihua;WU Fati(Department of Educational Science,Guangdong Polytechnic Normal University,Guangzhou Guangdong 510665;Engineering Research Center of Digital Learning and Educational Public Service,Beijing 100875)
出处
《电化教育研究》
CSSCI
北大核心
2023年第5期51-59,共9页
E-education Research
基金
国家社会科学基金2020年教育学一般课题“基于人机智能协同的精准学习干预研究”(课题编号:BCA200080)。
关键词
场景化分析
学习行为量化
解释性框架
分析建模
Scenario-based Analysis
Learning Behavior Quantification
Interpretative Framework
Analytical Modeling
