Learning Analytics: Online Higher Education in Management

Eulalia Torras Virgili
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Abstract

Learning analytics are a set of methods and techniques that collect, process, inform and successfully produce machine-readable data continuously to analyze the educational process and enable improvement decisions. The research aim is to develop and verify an instrument, based on theoretical contributions accepted by the international community that can evaluate the quality of online higher education in management based on Learning Analytics methods. The online teaching-learning model in management proposed that students' actions focused on an educational activity should be in the central position. This online teaching-learning model in management has been proposed according to five components: institution management, technological presence, instructional design, intra-psychological component and an inter-psychological or social component. Building upon the Teaching and Learning in Online Education Institutions in Management Model, an instrument has been created and provided that includes the dimensions, categories and variables of each component. Analyzing these components, we see that the dimensions, categories and variables for each are adequate to support the analysis of online higher education institutions in management.
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学习分析:在线管理高等教育
学习分析是一套收集、处理、告知并成功生成机器可读数据的方法和技术,用于分析教育过程并实现改进决策。研究的目的是开发和验证一种工具,基于国际社会接受的理论贡献,可以评估基于学习分析方法的在线管理高等教育的质量。管理学中的在线教与学模式提出了以学生的行为为中心的教育活动。这种在线教学管理模式是根据五个组成部分提出的:机构管理、技术存在、教学设计、心理内部成分和心理内部或社会成分。基于在线教育机构管理模式中的教与学,创建并提供了一个工具,其中包括每个组件的维度、类别和变量。分析这些组成部分,我们发现每个组成部分的维度、类别和变量都足以支持对在线高等教育机构管理的分析。
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