网络学习空间中的声誉激励机制——基于学习者视角

Reputation Incentive Mechanism in Online Learning Space—Based on the Learner’s Perspective

摘要: 通过文献分析梳理目前网络学习空间的背景、现状与现存在的困境以及网络学习空间中影响学习者学习的相关因素的产生。从学习者的角度，采用层次分析法和熵值法研究分析现有网络学习空间中的声誉激励机制，探究网络学习空间声誉的影响因素和评价指标，并利用YAAHP软件对在线学习者声誉激励模型中的指标进行权重的确定。从学习空间与学习者两方面提出了基于声誉的学习者在线学习优化机制，探讨改善网络学习空间中学生参与度较低和学生完成度不足现状的优化策略。

Abstract: This study uses the literature analysis to sort out the background, current status and current predicaments of learning space. Analytic hierarchy process (AHP) and entropy method are used to analyze the weight of influencing factors in the network learning space, and explores the influencing factors and evaluation indexes of the reputation in the online learning space. YAAHP software is used to determine the weight of the indicators in the reputation incentive model of online learners. This paper proposes an online learning optimization mechanism based on reputation from the perspective of learning space and learners, and discusses the optimization strategies to improve the low participation and insufficient completion of students in online learning space.