東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A beginner's guide to learning analytics

K G, Srinivasa.

FindBook

Google Book

Amazon

博客來

A beginner's guide to learning analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A beginner's guide to learning analytics/ by Srinivasa K G, Muralidhar Kurni.
作者:	K G, Srinivasa.
其他作者:	Kurni, Muralidhar.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiii, 326 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Learning - Evaluation. -
電子資源:	https://doi.org/10.1007/978-3-030-70258-8
ISBN:	9783030702588

A beginner's guide to learning analytics
K G, Srinivasa.

A beginner's guide to learning analytics[electronic resource] /by Srinivasa K G, Muralidhar Kurni. - Cham :Springer International Publishing :2021. - xiii, 326 p. :ill., digital ;24 cm. - Advances in analytics for learning and teaching,2662-2122. - Advances in analytics for learning and teaching..

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.

ISBN: 9783030702588

Standard No.: 10.1007/978-3-030-70258-8doiSubjects--Topical Terms:

530091
Learning
--Evaluation.

LC Class. No.: LB3051 / .K477 2021

Dewey Class. No.: 379.158

A beginner's guide to learning analytics
LDR:02407nmm a2200325 a 4500 001 2239819
003 DE-He213
005 20210727151727.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030702588 $q (electronic bk.)
020 $a 9783030702571 $q (paper)
024 7 $a 10.1007/978-3-030-70258-8 $2 doi
035 $a 978-3-030-70258-8
040 $a GP $c GP
041 0 $a eng
050 4 $a LB3051 $b .K477 2021
072 7 $a JN $2 bicssc
072 7 $a EDU000000 $2 bisacsh
072 7 $a JN $2 thema
082 0 4 $a 379.158 $2 23
090 $a LB3051 $b .K11 2021
100 1 $a K G, Srinivasa. $3 3494175
245 1 2 $a A beginner's guide to learning analytics $h [electronic resource] / $c by Srinivasa K G, Muralidhar Kurni.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiii, 326 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in analytics for learning and teaching, $x 2662-2122
520 $a 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.
650 0 $a Learning $x Evaluation. $3 530091
650 0 $a Teaching $x Evaluation. $3 569138
650 0 $a Learning $x Mathematical models. $3 809693
650 0 $a Data mining. $3 562972
650 1 4 $a Education, general. $3 2162157
650 2 4 $a Computers and Education. $3 892757
700 1 $a Kurni, Muralidhar. $3 3494176
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in analytics for learning and teaching. $3 3451185
856 4 0 $u https://doi.org/10.1007/978-3-030-70258-8
950 $a Education (SpringerNature-41171)