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Analyzing the evolution of learning technology area using science mapping

机译:使用科学制图分析学习技术领域的演变

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We present a systematic mapping, also called science mapping, to identify major areas of research activities concerning Learning Technology and the evolution from one area to another. The purpose of this work is to compare international tendencies with the LACLO community. The systematic mapping is primarily guided by author's keywords co-occurrence in the dataset selected. The scope of the data is limited by the sources of the literature used, in this case the LACLO and ICALT conferences and relevant Journals in the area, between years 2009 and 2016. We use the SciMat tool for this purpose and we present the analysis performed in the field of Learning Technology. Finally, some visual analytical studies of the identified areas and the relationships between them are presented. Incorporating the evolutionary stages of a specialty into the visual analytic study of the Learning Technology research domain is valuable. It provides a systematic methodology for researchers to achieve a good understanding of how the field evolves, to recognize potentially insightful patterns from visually encoded signs, and to synthesize various information so as to capture the state of the art of the domain.
机译:我们提出了一种系统映射,也称为科学映射,以识别与学习技术有关的研究活动的主要领域以及从一个领域到另一个领域的演变。这项工作的目的是将国际趋势与LACLO社区进行比较。系统映射主要由所选数据集中作者的关键词同时出现来指导。数据的范围受限于所用文献的来源,在此情况下,该领域是2009年至2016年之间的LACLO和ICALT会议以及该地区的相关期刊。为此,我们使用SciMat工具,并介绍了进行的分析在学习技术领域。最后,介绍了对确定区域及其之间关系的一些视觉分析研究。将专业的发展阶段纳入学习技术研究领域的视觉分析研究中非常有价值。它为研究人员提供了一种系统的方法论,以使他们能够很好地理解该领域的发展方式,从视觉编码的符号中识别出潜在的有见地的模式,并综合各种信息,从而掌握该领域的最新技术水平。

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