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

E-learning systems = intelligent tec...

Klasnja-Milicevic, Aleksandra.

FindBook

Google Book

Amazon

博客來

E-learning systems = intelligent techniques for personalization /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	E-learning systems/ by Aleksandra Klasnja-Milicevic ... [et al.].
其他題名:	intelligent techniques for personalization /
其他作者:	Klasnja-Milicevic, Aleksandra.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xxiii, 294 p. :ill. (some col.), digital ;24 cm.
內容註:	Part I Preliminaries -- Part II E-Learning Systems Personalization -- Part III Semantic Web Technologies in E-Learning -- Part IV Case Study: Design and Implementation of Tutoring System -- Part V Evaluation and Discussion.
Contained By:	Springer eBooks
標題:	Web-based instruction. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-41163-7
ISBN:	9783319411637

E-learning systems = intelligent techniques for personalization /
E-learning systemsintelligent techniques for personalization /[electronic resource] :by Aleksandra Klasnja-Milicevic ... [et al.]. - Cham :Springer International Publishing :2017. - xxiii, 294 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1121868-4394 ;. - Intelligent systems reference library ;v.112..

Part I Preliminaries -- Part II E-Learning Systems Personalization -- Part III Semantic Web Technologies in E-Learning -- Part IV Case Study: Design and Implementation of Tutoring System -- Part V Evaluation and Discussion.

This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.

ISBN: 9783319411637

Standard No.: 10.1007/978-3-319-41163-7doiSubjects--Topical Terms:

576319
Web-based instruction.

LC Class. No.: LB1044.87

Dewey Class. No.: 371.358

E-learning systems = intelligent techniques for personalization /
LDR:02176nmm a2200325 a 4500 001 2087491
003 DE-He213
005 20160719134414.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319411637 $q (electronic bk.)
020 $a 9783319411613 $q (paper)
024 7 $a 10.1007/978-3-319-41163-7 $2 doi
035 $a 978-3-319-41163-7
040 $a GP $c GP
041 0 $a eng
050 4 $a LB1044.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 371.358 $2 23
090 $a LB1044.87 $b .E11 2017
245 0 0 $a E-learning systems $h [electronic resource] : $b intelligent techniques for personalization / $c by Aleksandra Klasnja-Milicevic ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxiii, 294 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.112
505 0 $a Part I Preliminaries -- Part II E-Learning Systems Personalization -- Part III Semantic Web Technologies in E-Learning -- Part IV Case Study: Design and Implementation of Tutoring System -- Part V Evaluation and Discussion.
520 $a This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.
650 0 $a Web-based instruction. $3 576319
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 Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Klasnja-Milicevic, Aleksandra. $3 3216421
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.112. $3 3216422
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-41163-7
950 $a Engineering (Springer-11647)