联通主义学习中知识贡献影响因素分析模型与规律——基于fsQCA方法的组态效应研究  

The Model and Law of Factors Affecting Knowledge Contribution Quality in Connectivist Learning:A Study on Combined Effect Based on fsQCA

作　　者：徐亚倩 陈丽[2] Xu Yaqian;Chen Li(the Normal College,Qingdao University,Qingdao 266071;the Research Center of Distance Education,Beijing Normal University,Beijing 100875)

机构地区：[1]青岛大学师范学院,青岛266071 [2]北京师范大学远程教育研究中心,北京100875

出　　处：《中国远程教育》2024年第9期78-89,共12页Chinese Journal of Distance Education

基　　金：国家自然科学基金委员会2018年度管理学部重点课题“‘互联网+’时代的教育改革与创新管理研究”(课题编号:71834002)。

摘　　要：联通主义强调学习者是知识的主要贡献者,知识的产出源于学习者丰富广泛的社会交互,但社会交互影响知识贡献的具体机制尚不明晰。本研究基于联通主义和复杂系统观,从连接支持、连接机会和连接能力3个维度,选取促进者关注、反馈激励、榜样带动、交互对象异质性、身份公开、社群规模、主动性、社会吸引力和利他性9个条件变量,构建了联通主义知识贡献影响因素分析模型(SOA模型)。收集国内第一门cMOOC的10,598条交互数据,采用基于模糊集的定性比较方法 (fsQCA),从组态的视角揭示社会交互影响联通主义学习者知识贡献质量的联合作用路径,发现:1)高质量的知识贡献表现为三种驱动模式——自我导向型、开放利他型和促进者依赖型;2)高质量的知识贡献离不开社会交互的反馈激励、榜样带动和个体的社会吸引力;3)促进者关注或榜样带动、自主性或利他性是驱动高质量知识贡献必不可少的核心条件。本研究为今后分析联通主义知识贡献的影响因素提供了理论框架,研究结果揭示了社会交互因素对个体知识贡献质量的影响机制,有助于帮助研究者和课程设计者理解个体的知识贡献行为,为激发学习者保持高质量贡献、改进激励机制设计和学习支持服务提供依据。Connectivism holds that the learners are the knowledge producers and the knowledge production depends on learners'social interactions,but its specific affecting mechanism remains unclear.Based on the connectivism and complex system theory,this study builds a model of factors affecting knowledge contribution in connectivist learning(SOA model)from three dimensions of connecting support,connecting opportunity and connecting ability,and selects nine conditional variables including facilitators'attention,feedback,role model,interaction objects'heterogeneity,identity disclosure,community size,initiative,social attraction and altruism.Furthermore,to reveal the combined effects of social interaction factors on the quality of individual knowledge contribution in connectivist learning,10,598 interactive data from the first Chinese cMOOC are collected and analyzed through the fuzzy qualitative comparative analysis method(fsQCA).The findings are as follows:1)There are three driving patterns of high-quality knowledge contribution,self-oriented,open altruistic and facilitator dependent;2)High-quality knowledge contribution needs feedback incentive,role model and individual social attraction;3)Facilitators'attention or role model,initiative or altruism are the core conditions for high-quality knowledge contribution.This study not only provides an analysis model of factors affecting knowledge contribution in connectivist learning,but also further reveals the specific effect mechanism of the social interactions to knowledge contribution,which can help the researchers and cMOOCs designers understand the knowledge contribution behavior of learners,and give references to design the incentive mechanism and learning support to stimulate the learners'high-quality knowledge contribution.

关 键 词：联通主义 cMOOC 社会交互 知识贡献 知识生产 

分 类 号：G420[文化科学—课程与教学论]