评价信息技术促进在线学习效率的估计系数

A. Arskiy, E. Golubovskaya, Marina M. Shailieva
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引用次数: 0

摘要

本文提出了将估计系数用于评估在线教育(即远程教育)效率的建议。鉴于COVID-19大流行的当前形势,远程学习技术正在迅速发展,因此有必要确保其有效性,而不是传统的线下全日制教育服务。因此,研究的迫切性是由于确保在线学习达到标准水平的需求正在成为当今全球趋势。因此,该研究追求的目标是开发评估系数,以衡量在IT促进的在线模式下学习过程交付的有效性,并分享整个试点研究的观察结果。适当使用基于这些指标的评价模型,可以在定性和定量标准方面对学习过程效率进行更精确和准确的评价。为了评估学习-教学过程的效率,进行了传统(经典,离线)和远程(远程,在线)学习模式的交叉比较。因此,通过对这些指标进行深入的比较分析,可以确定其中最重要的指标,包括定性指标和定量指标,并在考虑到相关影响因素的情况下将它们综合起来。在进一步综合分析的基础上,确定并明确了各估计系数的合理取值。因此,可以制定和近似系数,以确保及时和相对准确地评估在线提供的学习过程的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation Coefficients for Evaluating the Efficiency of IT Facilitated Online Learning
The paper gives the authors' proposal to apply the estimation coefficients for evaluating the efficiency of education delivered online, i.e. distance learning. In light of the current situation related to the COVID-19 pandemic, distance learning technologies are developing rapidly, making it necessary to ensure their effectiveness against the conventional offline full-time delivery of the educational services. Thus, the urgency of the research is caused by the emerging need to ensure the up-to-the-mark level of online studies which is becoming a global trend nowadays. So, the study pursued the goal of developing the estimation coefficients for measuring the effectiveness of the learning process delivery in the IT facilitated online mode and sharing the results of observations made throughout the pilot study. The appropriate usage of the evaluation models based on these indicators enables a more precise and accurate evaluation of the learning process efficiency in terms of both qualitative and quantitative criteria. To appraise the efficiency of the learning-teaching process, cross comparison of conventional (classical, offline) and distant (remote, online) study modes was performed. Thus, the thorough comparative analysis of the indicators allowed to identify the most important of them, both qualitative and quantitative ones, and synthesize them taking into consideration the relevant impact factors. Based on the further comprehensive analysis rational values of the estimation coefficients were identified and clarified. As a result, it was made possible to formulate and approximate the coefficients which ensure prompt and relatively accurate evaluation of the quality of the learning process delivered online.
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