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A Complete Validated Learning Analytics Framework: Designing Issues from Data Preparation Perspective

机译:完整的验证学习分析框架:从数据准备角度设计问题

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>With the rapid growth of online education in recent years, Learning Analytics (LA) has gained increasing attention from researchers and educational institutions as an area which can improve the overall effectiveness of learning experiences. However, the lack of guidelines on what should be taken into consideration during application of LA hinders its full adoption. Therefore, this article investigates the issues that should be considered when approaching the design of LA experiences from the data preparation perspective. The obtained results highlight a validated LA framework of twenty-two designing issues that should be considered by various stakeholders in different contexts as well as a set of guidelines which can enhance designing LA experiences.
机译:近年来在线教育的快速增长,学习分析(LA)从研究人员和教育机构获得了越来越多的关注,作为可以提高学习经历的整体效益的领域。 但是,缺乏关于在申请LA阻碍期间考虑的准则的准则其全面采用。 因此,本文调查从数据准备角度接近LA体验时应考虑的问题。 所获得的结果突出了一项经过验证的二十二个设计问题的历史框架,这些问题应该由不同的环境中的各种利益相关者考虑以及一系列可以增强设计洛杉矶体验的指导方针。

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