Implementation Of Social And Emotional Learning Interventions In Applied Settings Approaches To Definition Measurement And Analysis

Implementation of Social and Emotional Learning Interventions in Applied Settings: Approaches to Definition, Measurement, and Analysis

Social and Emotional Learning

This book brings together influential scholars of social and emotional learning (SEL) to discuss current issues in the field. Chapters address issues related to theory and research, educational reform and intervention, social justice, neurobiology, and assessment. Children engage in a wide range of school-related tasks that require not only cognitive and intellectual skills but also social and emotional competencies that set the stage for academic engagement and learning. In recognition of these competencies, scholars have increasingly focused on questions concerning social and emotional learning (SEL): What must children learn to be socially competent students? And how might educators support the development of these skills most effectively? This volume features scholars of SEL at the forefront of these efforts. Chapters address issues related to theory and research, educational reform and intervention, social justice, neurobiology, and assessment. They describe a prevention science approach to SEL; detail a comprehensive implementation model for their RULER approach to SEL; advocate for “transformative” SEL that focuses on cultural and contextual issues; describe advances in neurobiology that suggest a reciprocal relationships between brain development and social-emotional experiences; delve into the challenges and opportunities of using SEL assessments in applied work, as well as comment on strengths and remaining challenges to the field of SEL. This book was originally published as a special issue of Educational Psychologist.

Educational Data Science: Essentials, Approaches, and Tendencies

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge aboutlearning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning! Chapter “Sync Ratio and Cluster Heat Map for Visualizing Student Engagement” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.