語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Software Data Engineering for Networ...
~
SpringerLink (Online service)
Software Data Engineering for Network eLearning Environments = Analytics and Awareness Learning Services /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Software Data Engineering for Network eLearning Environments/ edited by Santi Caballé, Jordi Conesa.
其他題名:
Analytics and Awareness Learning Services /
其他作者:
Caballé, Santi.
面頁冊數:
XVII, 228 p. 57 illus., 49 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-68318-8
ISBN:
9783319683188
Software Data Engineering for Network eLearning Environments = Analytics and Awareness Learning Services /
Software Data Engineering for Network eLearning Environments
Analytics and Awareness Learning Services /[electronic resource] :edited by Santi Caballé, Jordi Conesa. - 1st ed. 2018. - XVII, 228 p. 57 illus., 49 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,112367-4512 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.
This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.
ISBN: 9783319683188
Standard No.: 10.1007/978-3-319-68318-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Software Data Engineering for Network eLearning Environments = Analytics and Awareness Learning Services /
LDR
:02455nam a22003855i 4500
001
998344
003
DE-He213
005
20200629215246.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319683188
$9
978-3-319-68318-8
024
7
$a
10.1007/978-3-319-68318-8
$2
doi
035
$a
978-3-319-68318-8
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
245
1 0
$a
Software Data Engineering for Network eLearning Environments
$h
[electronic resource] :
$b
Analytics and Awareness Learning Services /
$c
edited by Santi Caballé, Jordi Conesa.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XVII, 228 p. 57 illus., 49 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Lecture Notes on Data Engineering and Communications Technologies,
$x
2367-4512 ;
$v
11
520
$a
This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Data mining.
$3
528622
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
700
1
$a
Caballé, Santi.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1288215
700
1
$a
Conesa, Jordi.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1288062
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319683171
776
0 8
$i
Printed edition:
$z
9783319683195
830
0
$a
Lecture Notes on Data Engineering and Communications Technologies,
$x
2367-4512 ;
$v
3
$3
1279482
856
4 0
$u
https://doi.org/10.1007/978-3-319-68318-8
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入