影响大学生金融素养水平的最显著因素:基于认知方法论的预测

Evgenia Yuryevna Tyumentseva, Vitaliy Aleksandrovich Shamis, Svetlana Khamityanovna Mukhametdinova
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介绍。本文通过对一项社会学调查结果的分析,运用认知建模工具,探讨了提高现代大学生金融素养的问题。本研究的目的是找出一组对金融素养水平影响最显著的相互关联的因素,并预测系统发展的特征。材料与方法。在研究过程中,采用了调查法、数理统计方法处理经验数据、专家评估和计算机建模。R. Axelrod创立的认知建模方法论被用作本研究的方法论基础。为了确定对金融知识水平影响最大的因素,对195名鄂木斯克大学学生进行了调查。在调查结果和专家评估的基础上,建立了金融素养水平认知模型,并进行了一系列的计算机实验。结果。在研究过程中,揭示了金融教育领域的最优先课题;确定了影响金融知识水平的一系列因素,确定了这些因素之间的联系,并对其强度进行了专家评估;建立了一个加权有向图形式的金融知识水平认知模型;进行了一系列的计算机实验,预测了不同程度的影响对目标因素对相关控制因素如个人预算计划能力等的影响。结论。本研究显示了提高大学生金融素养水平的社会意义。计算机建模的结果可以预测对控制因素的影响在多大程度上可以决定金融知识水平,并得出关于最优先主题的结论。研究结果可为现代高校金融素养课程的设计提供科学依据。
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Factors having the most significant impact on university students’ level of financial literacy: Forecasting based on cognitive methodology
Introduction. The authors explore the problem of increasing financial literacy in modern university students based on an analysis of the results of a sociological survey and cognitive modeling tools. The purpose of the study is to identify a set of interrelated factors that have the most significant impact on the level of financial literacy and predict the features of the development of the system. Materials and Methods. During the research, the survey method, mathematical and statistical methods for processing empirical data, expert assessment and computer modeling were used. The methodology of cognitive modeling, founded by R. Axelrod, was used as a methodological basis of the study. In order to identify factors that have the most significant impact on the level of financial literacy, a survey was conducted involving 195 Omsk university students. Based on the results of the survey and expert assessment, a cognitive model of the level of financial literacy was developed and a series of computer experiments were conducted. Results. During the research process, the highest priority topics in the field of financial education were revealed; a set of factors influencing the level of financial literacy was identified, connections between them were determined and an expert assessment of their intensity was carried out; a cognitive model of the level of financial literacy in the form of a weighted directed graph has been developed; a series of computer experiments was conducted and the impact on the target factor of influences of varying intensity exerted on the associated control factors such as, the ability to plan a personal budget, etc. was predicted. Conclusions. The study showed the social significance of increasing the level of financial literacy in university students. The results of the computer modeling made it possible to predict to what extent influences made on control factors can determine the level of financial literacy and to draw conclusions about the highest priority topics. The results obtained can serve as a scientific basis for designing financial literacy courses in modern universities.
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