For online learning and other forms of distance learning, time management is vital. As a recognized social asset, time constitutes a consistent and complete new approach to online higher education. Assessment and Evaluation of Time Factors in Online Teaching and Learning combines empirical and methodological research to study the role of time comprehensively from an institutional and management perspective, a technological perspective, and a pedagogical perspective. Focusing on higher education, this book is aimed at educational researchers, social science researchers, teachers, and students interested in improving the learning process and experience.

Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom requires a new degree of ongoing classroom assessment. Able to track web searches, resources used, task completion time, and a variety of other classroom behaviors, technology-rich classrooms offer a wealth of potential information about teaching and learning. This information can be used to track student progress in languages, STEM, and in 21st Century skills, for instance. However, despite these changes, there has been little change in the kind of data made available to teachers, administrators, students, and parents. Measuring and Visualizing Learning in the Information-Rich Classroom collects research on the implementation of classroom assessment techniques in technology-enhanced learning environments. Building on research conducted by a multinational and multidisciplinary team of learning technology experts, and specialists from around the globe, this book addresses these discrepancies. With contributions from major researchers in education technology, testing and assessment, and education psychology, this book contributes to a holistic approach for building the information infrastructure of the 21st Century school.

Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom requires a new degree of ongoing classroom assessment. Able to track web searches, resources used, task completion time, and a variety of other classroom behaviors, technology-rich classrooms offer a wealth of potential information about teaching and learning. This information can be used to track student progress in languages, STEM, and in 21st Century skills, for instance. However, despite these changes, there has been little change in the kind of data made available to teachers, administrators, students, and parents. Measuring and Visualizing Learning in the Information-Rich Classroom collects research on the implementation of classroom assessment techniques in technology-enhanced learning environments. Building on research conducted by a multinational and multidisciplinary team of learning technology experts, and specialists from around the globe, this book addresses these discrepancies. With contributions from major researchers in education technology, testing and assessment, and education psychology, this book contributes to a holistic approach for building the information infrastructure of the 21st Century school.

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.

The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.

The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.

The book is written in the framework of a European collaborative research programme, Learning in Humans and Machines, funded by the European Science Foundation. The book's purpose is to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as verbal, graphical and mathematical representations, knowledge at different levels of abstraction (e.g. qualitative and quantitative, specific cases or general models). One of the goals of the research programme is to demonstrate existing and to initiate new collaboration between educational sciences, psychology and machine learning.
The first aim of this book is to give an overview of the state of the art of the topic of learning involving different representations in the form of overview chapters. The book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning. It includes both theoretical analyses and studies in application contexts. The second aim of the book is to present current research on these topics and to articulate research issues for future research. This is done in the form of a collection of research papers and two reflective chapters.

The book discusses the analysis, comparison and integration of computational approaches to learning and research on human learning. Learning has for some time been an issue of minor importance in the cognitive sciences. It has, however, now become one of the most active research fields in psychology, the neurosciences, and computer science (machine learning).
The aim of this book is to provide the reader with an overview of the prolific research on learning throughout the disciplines.

The book will not only provide a general overview for those who are new to the field but will also provide specialist knowledge for those who want to learn more about alternative approaches and conceptualizations of learning in other disciplines. The contributing authors are all considered as leading experts in their field and come from the fields of cognitive, computer and educational science. They provide an assessment of the state-of-the-art of research, links between the disciplines, and they highlight the critically important research issues and methodologies, thus providing a basis for future research.

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.

Social Media heisst gegenwartig die grosse Herausforderung auch fur die kirchliche Online-Arbeit. Es gibt Pfarrerinnen und Pfarrer, die zwar Facebook nutzen, um ihre Konfirmandinnen und Konfirmanden online zu erreichen, aber aus Unbehagen selber ohne Profilfoto in Mark Zuckerbergs sozialem Netzwerk agieren. Auf der anderen Seite findet sich auch ein unreflektierter Enthusiasmus dem Internet gegenuber, so feierte man bereits in einer Kirchengemeinde ein Online-Abendmahl. Ist ein eigenes kirchliches Datenschutzrecht sinnvoll? Was bedeutet Open Content fur das Urheberrecht? Verandern sich auch Organisationsstrukturen durch Social Media? Anders als im Rundfunk hat die Kirche im Internet keine Drittsenderechte, sondern sie bewegt sich auf dem digitalen Marktplatz und ist ein Sinnstifter unter anderen. Wie kann sich die Kirche in sozialen Netzwerken engagieren, wenn die Netzcommunity stark atheistisch gepragt ist? Wie andern sich Kommunikationsstrukturen? Gerade Social-Media-Aktivitaten leben von personlicher Kommunikation, also von Christinnen und Christen, die in sozialen Netzen mit ihrem Glauben prasent sind. Als Jesus seine Jungern beauftragte, in alle Welt zu gehen und das Evangelium zu verkunden, gab es das Internet nicht, heute wurde er wahrscheinlich seinen Jungerinnen und Jungern sagen: @ChristInnen: Gehet in die sozialen Netz