Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers, learning system designers and developers to better understand educational processes and predict learners’ needs and performances. In this paper, we analyze the important dimensions and objectives of LA, application possibilities and some challenges to the beneficial exploitation of educational data. The required skills and capabilities that make meaningful use of LA techniques and technologies in this domain are considered and identified. Presented findings can act as a valuable guide for setting up LA services in support of educational practice. Also, they can be used as learner guidance, in quality assurance, curriculum development, and in improving learning process effectiveness and efficiency. Finally, this paper proposes the unavoidable constraints that affect LA technologies in education.

中文翻译：

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基于游戏的对基于非游戏的：学习分析-教育环境的新风味和益处

多年来，在所有领域和种类的教育（正式或非正式）和教育活动（教学，学习，评估，社交媒体使用和协作等）中，教育数据的数量一直在不断增长。因此，学习分析（LA）成为支持学习者，讲师，教师，学习系统设计人员和开发人员更好地了解教育过程并预测学习者需求和表现的强大机制。在本文中，我们分析了洛杉矶的重要维度和目标，应用可能性以及对有益利用教育数据的挑战。考虑并确定了在此领域中有意义地利用洛杉矶技术的必要技能和能力。提出的发现可以作为建立洛杉矶服务以支持教育实践的宝贵指导。此外，它们还可以用作学习者的指导，质量保证，课程开发以及提高学习过程的有效性和效率。最后，本文提出了影响洛杉矶学习技术的不可避免的限制。