語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
How interval and fuzzy techniques ca...
~
Kosheleva, Olga.
How interval and fuzzy techniques can improve teachingprocessing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
How interval and fuzzy techniques can improve teachingby Olga Kosheleva, Karen Villaverde.
其他題名:
processing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /
作者:
Kosheleva, Olga.
其他作者:
Villaverde, Karen.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg :2018.
面頁冊數:
x, 362 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
MathematicsStudy and teaching.
電子資源:
http://dx.doi.org/10.1007/978-3-662-55993-2
ISBN:
9783662559932$q(electronic bk.)
How interval and fuzzy techniques can improve teachingprocessing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /
Kosheleva, Olga.
How interval and fuzzy techniques can improve teaching
processing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /[electronic resource] :by Olga Kosheleva, Karen Villaverde. - Berlin, Heidelberg :Springer Berlin Heidelberg :2018. - x, 362 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7501860-949X ;. - Studies in computational intelligence ;v. 216..
This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques. Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams. The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching.
ISBN: 9783662559932$q(electronic bk.)
Standard No.: 10.1007/978-3-662-55993-2doiSubjects--Topical Terms:
189978
Mathematics
--Study and teaching.
LC Class. No.: QA11.2
Dewey Class. No.: 510.71
How interval and fuzzy techniques can improve teachingprocessing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /
LDR
:02452nmm a2200313 a 4500
001
528773
003
DE-He213
005
20180620091533.0
006
m d
007
cr nn 008maaau
008
181030s2018 gw s 0 eng d
020
$a
9783662559932$q(electronic bk.)
020
$a
9783662559918$q(paper)
024
7
$a
10.1007/978-3-662-55993-2
$2
doi
035
$a
978-3-662-55993-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA11.2
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
510.71
$2
23
090
$a
QA11.2
$b
.K86 2018
100
1
$a
Kosheleva, Olga.
$3
801376
245
1 0
$a
How interval and fuzzy techniques can improve teaching
$h
[electronic resource] :
$b
processing educational data: from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches /
$c
by Olga Kosheleva, Karen Villaverde.
260
$a
Berlin, Heidelberg :
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
$c
2018.
300
$a
x, 362 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.750
520
$a
This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques. Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams. The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching.
650
0
$a
Mathematics
$x
Study and teaching.
$3
189978
650
0
$a
Mathematics
$x
Study and teaching
$x
Data processing.
$3
618272
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
IT in Business.
$3
703717
650
2 4
$a
e-Commerce/e-business.
$3
348145
700
1
$a
Villaverde, Karen.
$3
801377
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v. 216.
$3
380871
856
4 0
$u
http://dx.doi.org/10.1007/978-3-662-55993-2
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000150487
電子館藏
1圖書
電子書
EB QA11.2 .K86 2018 2018.
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-662-55993-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入