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Knowledge-Aware Learning Analytics for Smart Learning

机译:智能学习的知识感知学习分析

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With the increasing development and adoption of digital technologies for education, more data gathered from educational contexts are being analyzed to give actionable insights to stakeholders. As a data-driven approach for better understanding and optimizing learning and the learning environment, learning analytics has the potential to contribute to smart learning. However, current learning analytics lacks knowledge awareness, an important component in smart learning. This paper draws upon research in the domain of smart learning, reflects on current research on methods and processes in learning analytics, and proposes a framework for knowledge-aware learning analytics for smart learning.
机译:随着用于教育的数字技术的不断发展和采用,正在分析从教育环境中收集到的更多数据,以便为利益相关者提供可行的见解。作为用于更好地理解和优化学习及学习环境的数据驱动方法,学习分析有可能为智能学习做出贡献。但是,当前的学习分析缺乏知识意识,这是智能学习的重要组成部分。本文借鉴了智能学习领域的研究,回顾了当前对学习分析方法和过程的研究,并提出了一个用于智能学习的知识感知学习分析框架。

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