國立高雄大學圖資館 |

Unobtrusive observations of learning in digital environmentsexamining 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 environmentsedited 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.
Contained By:	Springer Nature eBook
標題:	Internet in educationPsychological aspects.
電子資源:	https://doi.org/10.1007/978-3-031-30992-2
ISBN:	9783031309922$q(electronic bk.)

Unobtrusive observations of learning in digital environmentsexamining behavior, cognition, emotion, metacognition and social processes using learning analytics /
Unobtrusive observations of learning in digital environmentsexamining 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$q(electronic bk.)

Standard No.: 10.1007/978-3-031-30992-2doiSubjects--Topical Terms:

955998
Internet in education
--Psychological aspects.

LC Class. No.: LB1028.3

Dewey Class. No.: 371.3344678019

Unobtrusive observations of learning in digital environmentsexamining behavior, cognition, emotion, metacognition and social processes using learning analytics /
LDR:03202nmm a2200337 a 4500 001 646920
003 DE-He213
005 20230613164654.0
006 m d
007 cr nn 008maaau
008 240116s2023 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 955998
650 0 $a Web-based instruction $x Psychological aspects. $3 618472
650 1 4 $a Digital Education and Educational Technology. $3 913216
650 2 4 $a Educational Psychology. $3 348569
650 2 4 $a Cognitive Science. $3 304630
700 1 $a Kovanovic, Vitomir. $3 955997
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in analytics for learning and teaching. $3 858692
856 4 0 $u https://doi.org/10.1007/978-3-031-30992-2
950 $a Education (SpringerNature-41171)