語系:
繁體中文
English
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
Unobtrusive observations of learning...
~
SpringerLink (Online service)
FindBook
Google Book
Amazon
博客來
Unobtrusive observations of learning in digital environments = examining behavior, cognition, emotion, metacognition and social processes using learning analytics /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Unobtrusive observations of learning in digital environments/ edited by Vitomir Kovanovic ... [et al.].
其他題名:
examining behavior, cognition, emotion, metacognition and social processes using learning analytics /
其他作者:
Kovanovic, Vitomir.
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
x, 244 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction by the Editors -- Section on Indicators focusing on Behavior -- Modelling student behavioral engagement -- Measuring engagement with multimodal data -- Commentary from Learning Design or Learning Science -- Section on Indicators focusing on Cognition and Metacognition -- Measuring learning from text -- Learning strategies -- Metacognitive prompts and personalized scaffolding -- Commentary from Psychometrician or Cognitive Science -- Section on Indicators focusing on Emotion and Motivation -- Affect detection methods and techniques -- Emotions and ITS -- Emotion regulation in collaborative learning -- Measuring motivation from hypertext -- Commentary from Educational Psychology -- Section on Indicators focusing on Social Processes -- Modelling dynamics of social processes -- Linguistic analysis of student collaboration -- Group cohesion -- Commentary from Computational Social Science -- Concluding remarks and future directions by the Editors.
Contained By:
Springer Nature eBook
標題:
Internet in education - Psychological aspects. -
電子資源:
https://doi.org/10.1007/978-3-031-30992-2
ISBN:
9783031309922
Unobtrusive observations of learning in digital environments = examining behavior, cognition, emotion, metacognition and social processes using learning analytics /
Unobtrusive observations of learning in digital environments
examining behavior, cognition, emotion, metacognition and social processes using learning analytics /[electronic resource] :edited by Vitomir Kovanovic ... [et al.]. - Cham :Springer International Publishing :2023. - x, 244 p. :ill. (some col.), digital ;24 cm. - Advances in analytics for learning and teaching,2662-2130. - Advances in analytics for learning and teaching..
Introduction by the Editors -- Section on Indicators focusing on Behavior -- Modelling student behavioral engagement -- Measuring engagement with multimodal data -- Commentary from Learning Design or Learning Science -- Section on Indicators focusing on Cognition and Metacognition -- Measuring learning from text -- Learning strategies -- Metacognitive prompts and personalized scaffolding -- Commentary from Psychometrician or Cognitive Science -- Section on Indicators focusing on Emotion and Motivation -- Affect detection methods and techniques -- Emotions and ITS -- Emotion regulation in collaborative learning -- Measuring motivation from hypertext -- Commentary from Educational Psychology -- Section on Indicators focusing on Social Processes -- Modelling dynamics of social processes -- Linguistic analysis of student collaboration -- Group cohesion -- Commentary from Computational Social Science -- Concluding remarks and future directions by the Editors.
This book integrates foundational ideas from psychology, immersive digital learning environments supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behavior and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge. As a result, this edited volume presents a collection of indicators or measurements focusing on learning processes and related behavior, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book includes an invited commentary from a related field, such as educational psychology, cognitive science, learning science, etc.
ISBN: 9783031309922
Standard No.: 10.1007/978-3-031-30992-2doiSubjects--Topical Terms:
879110
Internet in education
--Psychological aspects.
LC Class. No.: LB1028.3
Dewey Class. No.: 371.3344678019
Unobtrusive observations of learning in digital environments = examining behavior, cognition, emotion, metacognition and social processes using learning analytics /
LDR
:03202nmm a2200337 a 4500
001
2332171
003
DE-He213
005
20230613164654.0
006
m d
007
cr nn 008maaau
008
240402s2023 sz s 0 eng d
020
$a
9783031309922
$q
(electronic bk.)
020
$a
9783031309915
$q
(paper)
024
7
$a
10.1007/978-3-031-30992-2
$2
doi
035
$a
978-3-031-30992-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
LB1028.3
072
7
$a
JNV
$2
bicssc
072
7
$a
EDU000000
$2
bisacsh
072
7
$a
JNV
$2
thema
082
0 4
$a
371.3344678019
$2
23
090
$a
LB1028.3
$b
.U58 2023
245
0 0
$a
Unobtrusive observations of learning in digital environments
$h
[electronic resource] :
$b
examining behavior, cognition, emotion, metacognition and social processes using learning analytics /
$c
edited by Vitomir Kovanovic ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2023.
300
$a
x, 244 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Advances in analytics for learning and teaching,
$x
2662-2130
505
0
$a
Introduction by the Editors -- Section on Indicators focusing on Behavior -- Modelling student behavioral engagement -- Measuring engagement with multimodal data -- Commentary from Learning Design or Learning Science -- Section on Indicators focusing on Cognition and Metacognition -- Measuring learning from text -- Learning strategies -- Metacognitive prompts and personalized scaffolding -- Commentary from Psychometrician or Cognitive Science -- Section on Indicators focusing on Emotion and Motivation -- Affect detection methods and techniques -- Emotions and ITS -- Emotion regulation in collaborative learning -- Measuring motivation from hypertext -- Commentary from Educational Psychology -- Section on Indicators focusing on Social Processes -- Modelling dynamics of social processes -- Linguistic analysis of student collaboration -- Group cohesion -- Commentary from Computational Social Science -- Concluding remarks and future directions by the Editors.
520
$a
This book integrates foundational ideas from psychology, immersive digital learning environments supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behavior and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge. As a result, this edited volume presents a collection of indicators or measurements focusing on learning processes and related behavior, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book includes an invited commentary from a related field, such as educational psychology, cognitive science, learning science, etc.
650
0
$a
Internet in education
$x
Psychological aspects.
$3
879110
650
0
$a
Web-based instruction
$x
Psychological aspects.
$3
2002551
650
1 4
$a
Digital Education and Educational Technology.
$3
3538616
650
2 4
$a
Educational Psychology.
$3
1005868
650
2 4
$a
Cognitive Science.
$3
753884
700
1
$a
Kovanovic, Vitomir.
$3
3661802
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/10.1007/978-3-031-30992-2
950
$a
Education (SpringerNature-41171)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9458376
電子資源
11.線上閱覽_V
電子書
EB LB1028.3
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入