000 -LEADER |
fixed length control field |
01989nam a22002057a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9783030702571 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
English |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
379.158 |
Item number |
KUR-A |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
K G, Srinivasa |
Relator term |
Author. |
245 ## - TITLE STATEMENT |
Title |
A Beginner's Guide to Learning Analytics / |
Statement of responsibility, etc |
K G Srinivasa , Kurni Muralidhar |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication |
Newyork : |
Name of publisher |
Springer, |
Year of publication |
2021. |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
339p. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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.<br/><br/>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.<br/><br/> |
546 ## - LANGUAGE NOTE |
Language note |
English |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
COMPUTERS |
General subdivision |
Data Processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
COMPUTERS |
General subdivision |
Intelligence (AI) & Semantics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
COMPUTERS |
General subdivision |
Data Visualization |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Kurni, Muralidhar |
Relator term |
author. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Books |