In recent years, the use of technology for the purposes of improving and enriching traditional instructional practices has received a great deal of attention. However, few works have explicitly examined cognitive, psychological, and educational principles on which technology-supported learning environments are based. This volume attempts to cover the need for a thorough theoretical analysis and discussion of the principles of system design that underlie the construction of technology-enhanced learning environments. It presents examples of technology-supported learning environments that cover a broad range of content domains, from the physical sciences and mathematics to the teaching of language and literacy. The emphasis in this book is not on the design of educational software but on the design of learning environments. A great deal of research on learning and instruction has recently moved out of the laboratory into the design of applications in instructional settings. By designing technology-supported learning environments instructional scientists attempt to better understand the theories and principles that are explicit in their theories of learning. The contributors to this volume examine how factors such as social interaction, the creation of meaningful activities, the use of multiple perspectives, and the construction of concrete representations influence the acquisition of new information and transfer.

Few things are as certain as societal changes—and the pressing need for educators to prepare students with the knowledge and ways of thinking necessary for the challenges in a changing world. In the forward-thinking pages of Designs for Learning Environments of the Future, international teams of researchers present emerging developments and findings in learning sciences and technologies at the infrastructure, curricular, and classroom levels. Focusing on ideas about designing innovative environments for learning in areas such as biology, engineering, genetics, mathematics, and computer science, the book surveys a range of learning technologies being explored around the world—a spectrum as diverse as digital media, computer modeling, and 3D virtual worlds—and addresses challenges arising from their design and use. The editors’ holistic perspective frames these innovations as not only discrete technologies but as flexible learning environments that foster student engagement, participation, and collaboration. Contributors describe possibilities for teaching and learning in these and other cutting-edge areas: Working with hypermodels and model-based reasoning Using visual representations in teaching abstract concepts Designing strategies for learning in virtual worlds Supporting net-based collaborative teams Integrating innovative learning technologies into schools Developing personal learning communities Designs for Learning Environments of the Future will enhance the work of a wide range of professionals, including researchers and graduate students in the learning and cognitive sciences, and educators in the physical and social sciences.

Instructional design theory and practice has evolved over the past 30 years from an initial narrow focus on programmed instruction to a multidimensional field of study integrating psychology, technology, evaluation, measurement, and management. The growth of instructional design (ID) has occurred because of direct needs, problems, and goals from society. Its application in planning instruction first developed in the United States with the Department of Defense during World War II with the purpose of meeting immediate concerns for effective training of larger numbers of military personnel. From the beginning, ID has rapidly expanded into applications in industrial and executive training, vocational training, classroom learning, and professional education. Although ID has its roots in the U.S., applications and theoretical growth is an international activity. However, literature at the international level is still limited to either individual author contributions or collections primarily represented by single countries. As a result, there is no standard reference source that contains the rich variety of theories and applications to form the international foundation for the field. The goal of this two-volume set is to establish international foundations for ID theory, research, and practice within the framework of the two following objectives: * to identify and define the theoretical, research, and model foundations for ID, and * to bridge the gap between ID foundations and application. Volume I includes chapters on philosophical and theoretical issues on learning theory and ID models. Volume II provides an overview of the state of the art of solving ID problems. The contributors offer contrasting points of view which provide a rare opportunity to see the diversity and complexity in the field. The editorial committee has selected a wide range of internationally known authors to make presentations in the topic areas of the field.

Few things are as certain as societal changes—and the pressing need for educators to prepare students with the knowledge and ways of thinking necessary for the challenges in a changing world. In the forward-thinking pages of Designs for Learning Environments of the Future, international teams of researchers present emerging developments and findings in learning sciences and technologies at the infrastructure, curricular, and classroom levels. Focusing on ideas about designing innovative environments for learning in areas such as biology, engineering, genetics, mathematics, and computer science, the book surveys a range of learning technologies being explored around the world—a spectrum as diverse as digital media, computer modeling, and 3D virtual worlds—and addresses challenges arising from their design and use. The editors’ holistic perspective frames these innovations as not only discrete technologies but as flexible learning environments that foster student engagement, participation, and collaboration. Contributors describe possibilities for teaching and learning in these and other cutting-edge areas: Working with hypermodels and model-based reasoning Using visual representations in teaching abstract concepts Designing strategies for learning in virtual worlds Supporting net-based collaborative teams Integrating innovative learning technologies into schools Developing personal learning communities Designs for Learning Environments of the Future will enhance the work of a wide range of professionals, including researchers and graduate students in the learning and cognitive sciences, and educators in the physical and social sciences.

This title presents perspectives on the relationship between curriculum research and instructional design, as well as new developments in the use of information and communication technology.

The COVID-19 pandemic has accelerated growth in online education across the world, forcing many to learn remotely. Presenting case studies from authors around the globe, this volume provides College and university personnel with research, theoretical foundations, and best practice to support and engage online learners.

This book brings together mathematics education research that makes a difference in both theory and practice - research that anticipates problems and needed knowledge before they become impediments to progress.