Srinivasa K G Muralidhar Kurni K G A Beginner’s Guide to Learning Analytics

A Beginner’s Guide to Learning Analytics

von Srinivasa K G Muralidhar Kurni

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Beschreibung

This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators.

Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.


This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators.

Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.



It provides an overview of learning analytics. Role of learning analytics in various paradigms of Learning/Teaching. Presents benefits and challenges of learning analytics in education. Describes how learning analytics could bring remarkable benefits for education. Presents Case studies

Autor*in

Srinivasa K G

Themen in »A Beginner’s Guide to Learning Analytics«

Learning Analytics Educational Data Mining Learning Analytics Tools Technology Approaches to Learning Analytics Learning Analytics in MOOCs Learning Analytics in Higher Education Smart Learning Analytics Recommender Systems Using Learning Analytics Life Long learning Self-Learning

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“This book explores how to bridge these gaps in education, teaching, and learning, with the new knowledge and technology we have today. ... Each chapter includes one or more case studies ... .” (Ernest Hughes, Computing Reviews, February 1, 2022)
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Details

ISBN: 9783030702601
Verlag: Springer International Publishing
Erscheinung: 20.04.2022

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