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作 者:王怀波 陈丽[2] Wang Huaibo;Chen Li(School of Systems Science,Beijing Normal University,Beijing 100875;Faculty of Education,Beijing Normal University,Beijing 100875)
机构地区:[1]北京师范大学系统科学学院,北京100875 [2]北京师范大学教育学部,北京100875
出 处:《中国远程教育》2024年第11期41-51,共11页Chinese Journal of Distance Education
基 金:国家自然科学基金2023年度青年项目“群体智慧汇聚下网络化知识演化规律研究”(项目编号:62207005)。
摘 要:互联网时代,伴随着知识的生产主体、生产方式以及传播流程的改变,知识的演化机理和演化特征也发生了质的变化。然而,对于此类知识演化规律认识的不足制约了新时期教育改革的深化。从遗传变异的生物进化理论视角出发,可构建遗传变异视角下的网络化知识演化动力模型,进而依托互联网社区型课程c MOOC的数据,探索互联网中知识演化的特征。网络化知识演化动力模型是描述知识演化过程、阐释知识演化内在作用机理的理论框架,它是以网络化知识实体为演化功能单元,包含一个“选择”的过滤机制和“遗传”与“变异”两种动力机制。在过滤机制中,用户的“认可”充当自然条件下的“选择”,决定了知识能否进入后续演化环节。在遗传动力机制下,用户通过参考和引用等方式,实现对原有内容的继承和复用。在变异动力机制下,用户通过借鉴和补充等方式,在原有实体基础上进行创新和发展。在此动力模型基础上,本研究以国内首门联通主义课程为案例,分析了网络化知识演化特征。研究发现:遗传和变异知识演化动力模型能够有效地描述和阐释网络化知识演化过程;作为一门新开设的互联网社区型课程,由于缺乏可以直接继承的知识内容,变异机制主导着网络化知识的演化。In the Internet era,the changes in the production subjects,production modes,and dissemination processes of knowledge have led to qualitative changes in the mechanism and characteristics of knowledge evolution.However,a limited understanding of these changes obstructs educational reforms in the new era.This study constructs a networked knowledge evolution dynamic model from the perspective of genetic variation,based on the biological evolution theory of genetic variation.And this study explores the characteristics of knowledge evolution in the Internet,based on the data of Internet community curriculum cMOOC.The networked knowledge evolution dynamic model is a theoretical framework that describes the process of knowledge evolution and explains the underlying mechanisms of knowledge evolution.In this model,networked knowledge entities serve as evolutionary functional units,and a filtering mechanism of"selection"and two dynamic mechanisms of"genetic"and"variation"are included.In the filtering mechanism,the user's recognition serves as a natural choice,determining whether knowledge can enter the subsequent evolution stage.Under the genetic dynamic mechanism,users inherit and reuse existing content through reference and citation methods.Under the genetic dynamics,users innovate and develop on the basis of existing entities through borrowing and supplementing.On this basis,this study analyzes the evolution characteristics of networked knowledge using the case of China's first connectionist course.The results show that genetic and variation knowledge evolution dynamic models can effectively describe and explain the process of networked knowledge evolution.As a new Internet community course,due to the lack of knowledge content that can be directly inherited,the variation mechanism dominates the evolution of networked knowledge.
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