Education has gone through numerous radical changes as the digital era has transformed the way we as humans communicate, inform ourselves, purchase goods, and perform other mundane chores at home and at work. New and emerging pedagogies have enabled rapid advancements, perhaps too rapidly. It’s a challenge for instructors and researchers alike to remain up to date with educational developments and unlock the full potential that technology could have on this significant profession. The Handbook of Research on Digital Learning is an essential reference source that explores the different challenges and opportunities that the new and transformative pedagogies have enabled. The challenges will be portrayed through a number of case studies where learners have struggled, managed, and adapted digital technologies in their effort to progress educational goals. Opportunities are revealed and displayed in the form of new methodologies, institutions scenarios, and ongoing research that seeks to optimize the use of such a medium to assist the digital learner in the future of networked education. Featuring research on topics such as mobile learning, self-directed learning, and cultural considerations, this book is ideally designed for teachers, principals, higher education faculty, deans, curriculum developers, instructional designers, educational software developers, IT specialists, students, researchers, and academicians.

Advances in technology and media have fundamentally changed the way people perceive research, how research studies are conducted, and the ways data are analyzed/how the findings are presented. Emerging internet-enabled technological tools have enhanced and transformed research in education and the way educators must adapt to conduct future studies. Advancing Educational Research With Emerging Technology provides innovative insights into cutting-edge and long-standing digital tools in educational research and addresses theoretical, methodological, and ethical dimensions in doing research in the digital world. The content within this publication examines such topics as computational linguistics, individualized learning, and mobile technologies. The design of this publication is suited for students, professors, higher education faculty, deans, academicians, researchers, and practitioners looking to expand their research through the use of a broad range of digital tools and resources.

This book explores new trends and developments in mathematics education research related to proof and proving, the implications of these trends and developments for theory and practice, and directions for future research. With contributions from researchers working in twelve different countries, the book brings also an international perspective to the discussion and debate of the state of the art in this important area. The book is organized around the following four themes, which reflect the breadth of issues addressed in the book: • Theme 1: Epistemological issues related to proof and proving; • Theme 2: Classroom-based issues related to proof and proving; • Theme 3: Cognitive and curricular issues related to proof and proving; and • Theme 4: Issues related to the use of examples in proof and proving. Under each theme there are four main chapters and a concluding chapter offering a commentary on the theme overall.

This volume presents different conceptual and theoretical frameworks as well as research methods that have helped educational researchers to study emotions. It includes innovative approaches that push the methodological boundaries that have served educational researchers until now and proposes new ways of researching emotions in educational contexts. In particular, this edited volume provides a historical frame for studying emotions. It connects theoretical/epistemological views with choice of research methods and describes specific methods helpful in doing research on emotions as they are grounded in different theoretical and disciplinary traditions such as psychology, philosophy, sociology, history, political science, cultural studies, and feminist studies. Finally, it appreciates the contextual and international dimensions of studying emotions in education and contributes to ongoing debates about the implications of our methodological choices for understanding emotion in education. This combination of variety, timeliness, potential for transformation of the field, and uniqueness make this a very valuable resource to introduce new scholars in the field alongside established scholars.

This book presents a collection of selected papers that represent the current variety of research on the teaching and learning of probability. The respective chapters address a diverse range of theoretical, empirical and practical aspects underpinning the teaching and learning of probability, curricular issues, probabilistic reasoning, misconceptions and biases, as well as their pedagogical implications. These chapters are divided into THREE main sections, dealing with: TEACHING PROBABILITY, STUDENTS' REASONING AND LEARNING AND EDUCATION OF TEACHERS. In brief, the papers presented here include research dealing with teachers and students at different levels and ages (from primary school to university) and address epistemological and curricular analysis, as well as the role of technology, simulations, language and visualisation in teaching and learning probability. As such, it offers essential information for teachers, researchers and curricular designers alike.

Methodological Advances in Educational Effectiveness Research is an important new work by some of the leading researchers in the field of Educational Effectiveness Research (EER). The book provides a state of the art snapshot of the methodology of EER now and clearly demonstrates the way it is applied in both research and evaluation. It shows how developments in the research methodology area such as the use of multilevel modelling approaches to analyse nested data have promoted the knowledge-base of educational effectiveness. But at the same time, as the authors show, the knowledge-base of educational effectiveness and the attempt to establish theoretical models do paradoxically challenge the development of methodologically appropriate studies including ways of analysing data. Guiding readers though the effective and appropriate use in educational effectiveness of: Longitudinal Studies Experimental Studies Mixed Research Methods Meta-analyses of effectiveness studies Using IRT to measure outcomes and factors Using Generalisability Theory to test the quality of data Multilevel modelling , and Structural Equation Modelling Techniques The authors draw in the expertise of scholars from around the world to show the mathematical background of each technique, the current and future applications, and Specific examples of applying this orientation to help the readers design their own effectiveness studies using specific methodological tools.