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.

Research Highlights in Technology and Teacher Education 2013, now in its fifth year of publication, serves as a scholarly resource and record of the current state of research in this essential field of study and practice. Collections in this annual book series present a growing body of research, highlighted with contemporary trends and issues, creative methods, innovative ideas, theory and practice-based models, and effective use of traditional as well as new tools in the field of information technology and teacher education. This year, twenty chapters are organized into five themes: (a) mobile learning and social media, (b) online teaching and learning, (c) technology integration in preservice education, (d) impact studies, and (e) K-12 application and professional development. This book is intended for professors, graduate students, teacher educators, researchers, administrators, and instructional designers in education and information technology.