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This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios. Reference: Jaakonmäki, R., vom Brocke, J., Dietze, S., Drachsler, H., Fortenbacher, A., Helbig, R., Kickmeier-Rust, M., Marenzi, I., Fernández, Á.S., Yun, H. (2020). Learning Analytics Cookbook - How to Support Learning Processes Through Data Analytics and Visualization. SpringerBriefs in Business Process Management, XI, 93, DOI: 10.1007/978-3-030-43377-2,…

From a psychometric point of view, assessment means to infer what a learner knows and can do in the real world from limited evidence observed in a standardized testing situation. From a learning analytics perspective assessment means to observe real behavior in digital learning environments to conclude the learner status with the intent to positively influence the learning process. Although psychometrics and learning analytics share similar goals, for instance, formative assessment, while applying different methods and theories, the two disciplines are so far highly separated. This chapter aims at paving the way for an advanced understanding of assessment by comparing and integrating the learning analytics and the psychometric approach of assessment. We will discuss means to show this new way of assessment of educational concepts such as (meta-) cognition, motivation,…