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Educating Learning Technology Designers
What knowledge and skills do designers of learning technologies need? What is the best way to train them to create high-quality educational technologies? Distilling the wisdom of expert instructors and designers, this cutting-edge guide offers a clear, accessible balance of theory and practical examples. This cutting-edge guide: synthesizes learning, instructional design, and educational technology perspectives on learning-centered technology — highlighting how interdisciplinary work is driving the fields of the learning sciences and technology design and development offers helpful resources for both faculty and students — including descriptions of a variety of successful courses in lear...
Value Sensitive Design
Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development fo...
Computers, Teachers, Peers
Linn and Hsi show how computers, teachers, and peers can serve as learning partners--helping students build on their ideas and become lifelong science learners. They invite everyone interested in improving science education to build on their experiences, share insights on the Internet, and create instruction. Computers, Teachers, Peers: * offers case studies to bring the ideas of students learning science to life. *Join Sasha, Chris, Pat, and Lee as they try to make sense of experiments using computers to display data in real time;* * provides principles to help teachers improve their instruction, use technology better, and inspire more students to love science. *Find out how to use visualiz...
Introductions to ijCSCL
The interdisciplinary field of Computer-Supported Collaborative Learning (CSCL) explores ways of making learning more engaging, stimulating, and effective by promoting collaboration among learners through the use of computer networking, simulations, and computational support. This volume reproduces the editorial introductions to the International Journal of Computer-Supported Collaborative Learning (ijCSCL) since its beginning in 2006. The introductions situate the articles in each quarterly issue within current CSCL research activity and highlight the unique perspectives and important contributions of the included papers. The introductions also present reflections on topics of CSCL theory and methodology, providing concise contributions of their own. Written in different styles, the introductions as an ensemble provide a lively, stimulating introduction to the CSCL research field as it has grown over the years.
Personal Epistemology
This is the first book to provide a comprehensive overview of the theoretical and methodological approaches to the study of personal epistemology from a psychological and educational perspective. Both theory building and empirical research have grown dramatically in the past decade but, until now, this work has not been pulled together in a single volume. That is the mission of this volume whose state-of-the-art theory and research are likely to define the field for the next 20 years. Key features of this important new book include: *Pioneering Contributors--The book provides current perspectives of each of the major theoreticians and researchers who pioneered this growing field, as well as contributions from new researchers. *Diverse Perspectives--The contributors represent a variety of perspectives, including education, educational psychology, developmental psychology, higher education, and science and mathematics education. *Editorial Integration--Opening and closing chapters by the editors set out key issues confronting the field.
Studying Virtual Math Teams
Studying Virtual Math Teams centers on detailed empirical studies of how students in small online groups make sense of math issues and how they solve problems by making meaning together. These studies are woven together with materials that describe the online environment and pedagogical orientation, as well as reflections on the theoretical implications of the findings in the studies. The nature of group cognition and shared meaning making in collaborative learning is a foundational research issue in CSCL. More generally, the theme of sense making is a central topic in information science. While many authors allude to these topics, few have provided this kind of detailed analysis of the mech...
Children's Learning in Laboratory and Classroom Contexts
During the second half of the twentieth century, Ann Brown was one of the worlds premier researchers into the cognitive development of young children. Sponsored by the Spencer Foundation, this edited festschrift honors her work and memory by bringing together a collection of original studies that extend many of the theories and themes of
Affinity Online
How online affinity networks expand learning and opportunity for young people Boyband One Direction fanfiction writers, gamers who solve math problems together, Harry Potter fans who knit for a cause. Across subcultures and geographies, young fans have found each other and formed community online, learning from one another along the way. From these and other in-depth case studies of online affinity networks, Affinity Online considers how young people have found new opportunities for expanded learning in the digital age. These cases reveal the shared characteristics and unique cultures and practices of different online affinity networks, and how they support “connected learning”—learnin...
Analyzing Interactions in CSCL
Analyzing Interactions in CSCL: Methodology, Approaches, and Issues deepens the understanding of ways to document and analyze interactions in CSCL and informs the design of the next generation of CSCL tools. It provides researchers with several alternative methodologies, theoretical underpinnings of the methods used, data indicating how the method worked, guidance for using the methods, implications for understanding collaborative processes and their effect on learning outcomes and implications for design. CSCL research tends to span across several disciplines such as education, psychology, computer science and artificial intelligence. As a result, the methods for data collection and analysis are interdisciplinary, from fields such as sociology, anthropology, psychology, computer science, and artificial intelligence. This book brings perspectives together, and provides researchers with an array of methodologies to document and analyze collaborative interactions.
