多人从经验中学习模型研究:基于信息和分析方法的异质性视角

A Study on the Model of Multi-individual Learning from Experience: From the Perspectives of Information Heterogeneity and Analytic Method Heterogeneity

多人从经验中学习时,常常出现由于不同个体掌握的信息和分析方法不同,而导致的学习效率低的现象。基于时空理论,本文分析了多人从经验中学习时的信息异质性和分析方法异质性,并构建了信息结构异质性和信息内容异质性的桥梁结构,以及分析方法集。本文还对导致信息和分析方法错误的因素和对应的解决方法进行了阐述。进一步地,本文构建了基于信息和分析方法的异质性视角的多人从经验中学习过程机制模型,认为在可用的资源的制约下,多人可以通过“清洗”和“清除”信息和分析方法来提高信息真实性和分析方法可用性,通过“寻找”提高信息和分析方法的完整性,以达到学习目标的具体要求,从而提升学习效率,并列举了一些实践工具。本文从信息和分析方法的异质性视角出发,对多人从经验中学习时可能遇到的问题和解决方法进行探索,为提升学习效率提供理论依据和实践建议。

When multi-individual learns from experience, it often happens that they have different information and will use different analytic methods, which lead to low learning efficiency. Based on the space-time theory, the information heterogeneity and analytic method heterogeneity are analyzed, as well as the bridge structure of information structure heterogeneity and information content heterogeneity, and the analytic method set are constructed. The causes and corresponding solutions of the information and analytic method errors are expounded. Furthermore, a process model of multi-individual learning from experience is constructed from the perspectives of the heterogeneity information and analytic methods. It is considered that under the constraints of the available resources, multi-individual can improve the authenticity of information and the availability of analytic methods by cleaning and clearing, and improve the completeness of information and analytic methods by searching, to meet the specific requirements of learning goals, thus improving learning efficiency. Some practical tools are also listed in this paper. From the perspective of heterogeneity of information and analytic methods, the problems are explored that multi-individual may encounter when learning from experience and corresponding solutions, and theoretical basis and practical suggestions are provided for improving learning efficiency.