Cell phones . . . airbags . . . genetically modified food . . . the Internet. These are all emblems of modern life. You might ask what we would do without them. But an even more interesting question might be what would we do if we had to actually explain how they worked? The United States is riding a whirlwind of technological change. To be sure, there have been periods, such as the late 1800s, when new inventions appeared in society at a comparable rate. But the pace of change today, and its social, economic, and other impacts, are as significant and far reaching as at any other time in history. And it seems that the faster we embrace new technologies, the less we're able to understand them. What is the long-term effect of this galloping technological revolution? In today's new world, it is nothing less than a matter of responsible citizenship to grasp the nature and implications of technology. Technically Speaking provides a blueprint for bringing us all up to speed on the role of technology in our society, including understanding such distinctions as technology versus science and technological literacy versus technical competence. It clearly and decisively explains what it means to be a technologically-literate citizen. The book goes on to explore the context of technological literacyâ€"the social, historical, political, and educational environments. This readable overview highlights specific issues of concern: the state of technological studies in K-12 schools, the reach of the Internet into our homes and lives, and the crucial role of technology in today's economy and workforce. Three case studies of current issuesâ€"car airbags, genetically modified foods, and the California energy crisisâ€"illustrate why ordinary citizens need to understand technology to make responsible decisions. This fascinating book from the National Academy of Engineering is enjoyable to read and filled with contemporary examples. It will be important to anyone interested in understanding how the world around them works.

In addition to reviewing recent trends, this report identifies significant changes in science, technology and industry policies in the OECD countries.

Researchers, historians, and philosophers of science have debated the nature of scientific research in education for more than 100 years. Recent enthusiasm for "evidence-based" policy and practice in educationâ€"now codified in the federal law that authorizes the bulk of elementary and secondary education programsâ€"have brought a new sense of urgency to understanding the ways in which the basic tenets of science manifest in the study of teaching, learning, and schooling. Scientific Research in Education describes the similarities and differences between scientific inquiry in education and scientific inquiry in other fields and disciplines and provides a number of examples to illustrate these ideas. Its main argument is that all scientific endeavors share a common set of principles, and that each fieldâ€"including education researchâ€"develops a specialization that accounts for the particulars of what is being studied. The book also provides suggestions for how the federal government can best support high-quality scientific research in education.

A compilation of 3M voices, memories, facts and experiences from the company's first 100 years.

Documents the information technology driven changes that occur in business structures, business practices and sector structures. This work provides information on what is really happening across the economic landscape as a result of changes in information technologies. It offers a comparative picture of technology and business practice.

An examination of the ways that digital and networked technologies have fundamentally changed research practices in disciplines from astronomy to literary analysis. In Knowledge Machines, Eric Meyer and Ralph Schroeder argue that digital technologies have fundamentally changed research practices in the sciences, social sciences, and humanities. Meyer and Schroeder show that digital tools and data, used collectively and in distributed mode—which they term e-research—have transformed not just the consumption of knowledge but also the production of knowledge. Digital technologies for research are reshaping how knowledge advances in disciplines that range from physics to literary analysis. Meyer and Schroeder map the rise of digital research and offer case studies from many fields, including biomedicine, social science uses of the Web, astronomy, and large-scale textual analysis in the humanities. They consider such topics as the challenges of sharing research data and of big data approaches, disciplinary differences and new forms of interdisciplinary collaboration, the shifting boundaries between researchers and their publics, and the ways that digital tools promote openness in science. This book considers the transformations of research from a number of perspectives, drawing especially on the sociology of science and technology and social informatics. It shows that the use of digital tools and data is not just a technical issue; it affects research practices, collaboration models, publishing choices, and even the kinds of research and research questions scholars choose to pursue. Knowledge Machines examines the nature and implications of these transformations for scholarly research.