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Methodology for Multilevel Modeling in Educational Research
This edited volume documents attempts to conduct systematic and prodigious research using multilevel analysis in educational settings, and present their findings and identify future research directions. It showcases the versatility of multilevel analysis, and elucidates the unique advantages in examining complex and wide-ranging educational issues. This book brings together leading experts around the world to share their works in the field, highlighting recent advances, creative and unique approaches, and innovative methods using multilevel modeling and theoretical and practical aspects of multilevel analysis in culturally and linguistically-diverse educational contexts.
Beckett and the Cognitive Method
Beckett and the Cognitive Method argues that Samuel Beckett's narrative work inaugurates an exploratory use of narrative as a cognitive modeling technology. Through a detailed analysis of Beckett's entire corpus and published volumes of letters, this book argues that Beckett pioneered a new method of writing to construct (in a mode analogous to scientific inquiry) 'models' for the exploration of core laws, processes, and dynamics in the human mind.
New Science of Learning
This book critically re-examines the scientific understanding of learning and presents novel concepts and emerging theories, ground-breaking research, pioneering investigations, and state-of-the-art projects. The chapters in this book portray theoretical frameworks, thought-provoking ideas, and promising efforts in framing new science of learning.
Machine Learning in Educational Sciences
This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences.
TEACHER EDUCATION, THIRD EDITION
Teacher Education is the cornerstone of all educational systems. To ensure its effectiveness, it is vital to establish a framework that equips teacher trainees with the skills needed to excel in classroom settings. The book delves into strategies for enhancing teacher training, improving education programs, and delivering quality education. The National Education Policy (NEP) 2020 emphasises the significance of teacher education, reinforcing the vision of India as a Vishwa Guru. It mandates fifty hours of Continuous Professional Development (CPD) for in-service teachers annually, in both online and offline modes, integrating technology into education. Furthermore, it proposes the introductio...
International Trends in Educational Assessment
"Assessment and evaluation have always been an integral part of the educational process. Quality and purposeful assessment can assist in students' learning and their achievement. In recent years, considerable attention has been given to the roles of educational measurement, evaluation, and assessment with a view to improving the education systems throughout the world. Educators are interested in how to adequately prepare the young generation to meet the ever-growing demands of the 21st century utilizing robust assessment methods. There has also been increased demand in accountability and outcomes assessment in schools to bridge the gap between classroom practices and measurement and assessment of learners' performance. This volume contains selected and invited papers from the First International Conference on Educational Measurement, Evaluation and Assessment (ICEMEA). Contributors are: Peter Adams, Derin Atay, Nafisa Awwal, Helen Barefoot, Patrick Griffin, Bahar Hasirci, Didem Karakuzular, Don Klinger, Leigh Powell, Vicente Reyes, Mark Russell, Charlene Tan, Bryan Taylor, and Zhang Quan"--
Emerging Trends in Learning Analytics
The term 'learning analytics' is defined as the measurement, collection, analysis, and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. In recent years learning analytics has emerged as a promising area of research that trails the digital footprint of the learners and extracts useful knowledge from educational databases to understand students’ progress and success. With the availability of an increased amount of data, potential benefits of learning analytics can be far-reaching to all stakeholders in education including students, teachers, leaders, and policymakers. Educators firmly believe that, if properly harnessed, le...
Interdisciplinary Perspectives on Special and Inclusive Education in a Volatile, Uncertain, Complex & Ambiguous (VUCA) World
The COVID-19 pandemic is an extreme case of a VUCA (Volatile, Uncertain, Complex, and Ambiguous) event that grants the opportunity to examine whether special and inclusive education is fully prepared for these complex situations.
