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

Learning analytics = fundaments, app...

Pena-Ayala, Alejandro.

FindBook

Google Book

Amazon

博客來

Learning analytics = fundaments, applications, and trends : a view of the current state of the art to enhance e-Learning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning analytics/ edited by Alejandro Pena-Ayala.
其他題名:	fundaments, applications, and trends : a view of the current state of the art to enhance e-Learning /
其他作者:	Pena-Ayala, Alejandro.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xii, 303 p. :ill., digital ;24 cm.
內容註:	Learning Analytics in Higher Education -- A Literature Review -- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review -- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field -- A Review of Recent Advances in Adaptive Assessment -- Data-driven Personalization of Student Learning Support in Higher Education -- Overcoming the MOOC data deluge with learning analytic dashboards -- A Priori Knowledge in Learning Analytics -- Knowledge Discovery from the Programme for International Student Assessment -- A Learning Analytics Approach for Job Scheduling on Cloud Servers.
Contained By:	Springer eBooks
標題:	Learning. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-52977-6
ISBN:	9783319529776

Learning analytics = fundaments, applications, and trends : a view of the current state of the art to enhance e-Learning /
Learning analyticsfundaments, applications, and trends : a view of the current state of the art to enhance e-Learning /[electronic resource] :edited by Alejandro Pena-Ayala. - Cham :Springer International Publishing :2017. - xii, 303 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.942198-4182 ;. - Studies in systems, decision and control ;v.94..

Learning Analytics in Higher Education -- A Literature Review -- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review -- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field -- A Review of Recent Advances in Adaptive Assessment -- Data-driven Personalization of Student Learning Support in Higher Education -- Overcoming the MOOC data deluge with learning analytic dashboards -- A Priori Knowledge in Learning Analytics -- Knowledge Discovery from the Programme for International Student Assessment -- A Learning Analytics Approach for Job Scheduling on Cloud Servers.

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.

ISBN: 9783319529776

Standard No.: 10.1007/978-3-319-52977-6doiSubjects--Topical Terms:

516521
Learning.

LC Class. No.: LB1060

Dewey Class. No.: 370.1523

Learning analytics = fundaments, applications, and trends : a view of the current state of the art to enhance e-Learning /
LDR:02742nmm a2200325 a 4500 001 2090329
003 DE-He213
005 20170823151338.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319529776 $q (electronic bk.)
020 $a 9783319529769 $q (paper)
024 7 $a 10.1007/978-3-319-52977-6 $2 doi
035 $a 978-3-319-52977-6
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1060
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 370.1523 $2 23
090 $a LB1060 $b .L438 2017
245 0 0 $a Learning analytics $h [electronic resource] : $b fundaments, applications, and trends : a view of the current state of the art to enhance e-Learning / $c edited by Alejandro Pena-Ayala.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xii, 303 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.94
505 0 $a Learning Analytics in Higher Education -- A Literature Review -- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review -- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field -- A Review of Recent Advances in Adaptive Assessment -- Data-driven Personalization of Student Learning Support in Higher Education -- Overcoming the MOOC data deluge with learning analytic dashboards -- A Priori Knowledge in Learning Analytics -- Knowledge Discovery from the Programme for International Student Assessment -- A Learning Analytics Approach for Job Scheduling on Cloud Servers.
520 $a 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.
650 0 $a Learning. $3 516521
650 0 $a Education $x Evaluation. $3 562801
650 0 $a Educational statistics. $3 520601
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Educational Technology. $3 876844
650 2 4 $a Learning & Instruction. $3 893930
650 2 4 $a Technology and Digital Education. $3 2181140
700 1 $a Pena-Ayala, Alejandro. $3 2056836
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.94. $3 3221773
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-52977-6
950 $a Engineering (Springer-11647)