The Multi-Factor Action Mechanism of Knowledge Flow on Collaborative Innovative Learning Platforms for College Students

Authors

  • Kelei Shi

DOI:

https://doi.org/10.3991/ijet.v17i18.34177

Keywords:

collaborative innovative learning (CIL), knowledge flow, multi-factor variable, robustness, action mechanism, learning platform

Abstract


Knowledge flow is an explicit behavior of college students during their Collaborative Innovative Learning (CIL). Existing studies on the management mechanism of knowledge flow on CIL platforms generally lack a systematic theoretical analysis on the action mechanism of the influencing factors, few scholars have viewed the problems of the management mechanism of knowledge flow, the action mechanisms of the influencing factors of knowledge flow, the efficiency of knowledge flow, and the relationship among them from the perspective of the platform, and few studies have discussed the impact of the management mechanism of CIL platforms on the knowledge flow from a dynamic angle. To fill in these research blanks, this paper aims to analyze the multi-factor action mechanism of knowledge flow on CIL platforms for college students. At first, this paper elaborated on the formation mechanism of the CIL network, and measured model variables of the proposed network; then, it analyzed the robustness of the functions of the proposed network based on knowledge flow; at last, this paper gave the multi-factor variable analysis results of the model.

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Published

2022-09-21

How to Cite

Shi, K. . (2022). The Multi-Factor Action Mechanism of Knowledge Flow on Collaborative Innovative Learning Platforms for College Students. International Journal of Emerging Technologies in Learning (iJET), 17(18), pp. 191–205. https://doi.org/10.3991/ijet.v17i18.34177

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Papers