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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.
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