云技术在教育中的应用:文献综述

A. Yurchenko, A. Rozumenko, A. Rozumenko, Roman Momot, Olena Semenikhina
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引用次数: 0

摘要

本文从文献分析的角度探讨了云技术在教育领域的应用。文章描述了云技术在教育领域的现状,总结了发展趋势,并预测了近期科学研究的方向。主要研究方法是对关键词网络进行书目(可视化和定量)分析和定性讨论。书目分析基于科学计量数据库 Web Of Science 在过去 20 年中索引的出版物。分析样本是通过搜索云技术、教育、学习和教学等词形成的。研究结果表明:近年来,云技术在教育领域的普及程度显著提高;在工业 4.0 的影响下,与教育活动各个方面相关的研究数量增加;有关教育过程虚拟化和人工智能在教育中的应用的研究数量逐渐增加;有关使用云服务和基于人工智能的教学方法进行各类培训的有效性的研究得到传播;教材可视化和可视化分析的趋势在教育中具有相关性。定性讨论为确定未来研究方向的总体趋势提供了依据。这些趋势包括:大众在线课程和学习技术的发展(沉浸式、虚拟、增强和混合现实的使用、游戏学习技术、BYOD 方法);大学的进一步虚拟化;全纳教育、教育分析和评估(形成性和适应性计算机评估)的发展;教师在学科学习中使用云技术和专业服务的早期培训;与可视化有关的研究(大数据、设计、模拟、各种过程的模拟等)以及相关新学科的设计;STEM 和 STEAM 教育的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLOUD TECHNOLOGIES IN EDUCATION: THE BIBLIOGRAPHIC REVIEW
The paper considers the use of cloud technologies in education through the prism of bibliographic analysis. The article characterizes the current state of cloud technologies in education, summarizes the trends, and forecasts the directions of recent scientific research. The leading research methods were bibliographic (visual and quantitative) analysis of keyword networks and qualitative discussion. The bibliographic analysis is based on publications indexed by the scientometric database Web Of Science over the past 20 years. The sample for analysis was formed by searching for the words cloud technology, education, learning, and teaching. The results of the study showed: a significant increase in the popularity of cloud technologies in education in recent years; an increase in the number of studies related to various aspects of educational activities under the influence of Industry 4.0; a gradual increase in the number of studies on the virtualization of the educational process and the use of artificial intelligence in education; dissemination of research on the effectiveness of various types of training using cloud services and teaching methods based on artificial intelligence; the relevance of the trend of visualization of educational material and visual analysis in education. The qualitative discussion provided grounds to identify general trends regarding future research directions.: development of mass online courses and learning technologies (immersive, the use of virtual, augmented, and mixed reality, gaming learning technologies, BYOD approach); further virtualization of universities; development of inclusive education, educational analytics, and assessment (formative and adaptive computer assessment); early training of teachers to use cloud technologies and specialized services in subject learning; research related to visualization (big data, design, simulation, simulation of various processes, etc.) and the designing of relevant new academic disciplines; research of STEM and STEAM education.
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