A Beginner's Guide to Learning Analytics (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Analytics for Learning and Teaching
Release date:	April 2022
First published:	2021
Authors:	Srinivasa K. G • Muralidhar Kurni
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	326
Edition:	1st ed. 2021
ISBN-13:	978-3-03-070260-1
Categories:	Books > Social sciences > Education > Educational resources & technology > General Promotions
LSN:	3-03-070260-X
Barcode:	9783030702601

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