The Model and Law of Factors Affecting Knowledge Contribution Quality in Connectivist Learning:A Study on Combined Effect Based on fsQCA
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 con-nectivism 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 con-necting ability,and selects nine conditional variables including facilitators'attention,feedback,role model,interac-tion objects'heterogeneity,identity disclosure,community size,initiative,social attraction and altruism.Further-more,to reveal the combined effects of social interaction factors on the quality of individual knowledge contribu-tion 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 depen-dent;2)High-quality knowledge contribution needs feedback incentive,role model and individual social attrac-tion;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 contribu-tion 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 contri-bution behavior of learners,and give references to design the incentive mechanism and learning support to stimu-late the learners'high-quality knowledge contribution.
ConnetivismcMOOCsocial interactionknowledge contributionknowledge production
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