Unobtrusive Observations of Learning in Digital Environments - Examining Behavior, Cognition, Emotion, Metacognition and Social Processes Using Learning Analytics (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Analytics for Learning and Teaching
Release date:	June 2023
First published:	2023
Editors:	Vitomir Kovanovic • Roger Azevedo • David C. Gibson • Dirk lfenthaler
Dimensions:	235 x 155mm (L x W)
Pages:	244
Edition:	1st ed. 2023
ISBN-13:	978-3-03-130991-5
Categories:	Books
LSN:	3-03-130991-X
Barcode:	9783031309915

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