Learning Analytics: Fundaments, Applications, and Trends
A View of the Current State of the Art to Enhance e-Learning
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Beschreibung
This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art.
By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art.
By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
Provides an updated view of the application of learning analytics to the educational arena Discusses the logistics of learning analytics: theories, models, frameworks, and methods Sketches a conceptual frame composed of theoretical, formal, technological and experimental topics Includes supplementary material: sn.pub/extras
Autor*in
Alejandro Peña-Ayala
Themen in »Learning Analytics: Fundaments, Applications, and Trends«
Learning Analytics Educational Data Mining Data Sciences Computer-based Educational Systems Adaptive and Intelligent Educational Systems learning and instruction