Students of the humanities confront two fundamental questions: How valid and rigorous is the type of knowledge attained in these disciplines? And what good is it? In The Humanities in the Age of Technology, Ciriaco Morón Arroyo offers a systematic inquiry into these questions and outlines the ongoing crisis of the humanities.

As the twenty-first century unfolds, computers challenge the way in which we think about culture, society and what it is to be human: areas traditionally explored by the humanities. In a world of automation, Big Data, algorithms, Google searches, digital archives, real-time streams and social networks, our use of culture has been changing dramatically. The digital humanities give us powerful theories, methods and tools for exploring new ways of being in a digital age. Berry and Fagerjord provide a compelling guide, exploring the history, intellectual work, key arguments and ideas of this emerging discipline. They also offer an important critique, suggesting ways in which the humanities can be enriched through computing, but also how cultural critique can transform the digital humanities. Digital Humanities will be an essential book for students and researchers in this new field but also related areas, such as media and communications, digital media, sociology, informatics, and the humanities more broadly.

An argument in favor of finding a place for humans (and humanness) in the future digital economy. In the digital economy, accountants, baristas, and cashiers can be automated out of employment; so can surgeons, airline pilots, and cab drivers. Machines will be able to do these jobs more efficiently, accurately, and inexpensively. But, Nicholas Agar warns in this provocative book, these developments could result in a radically disempowered humanity. The digital revolution has brought us new gadgets and new things to do with them. The digital revolution also brings the digital economy, with machines capable of doing humans' jobs. Agar explains that developments in artificial intelligence enable computers to take over not just routine tasks but also the kind of “mind work” that previously relied on human intellect, and that this threatens human agency. The solution, Agar argues, is a hybrid social-digital economy. The key value of the digital economy is efficiency. The key value of the social economy is humanness. A social economy would be centered on connections between human minds. We should reject some digital automation because machines will always be poor substitutes for humans in roles that involve direct contact with other humans. A machine can count out pills and pour out coffee, but we want our nurses and baristas to have minds like ours. In a hybrid social-digital economy, people do the jobs for which feelings matter and machines take on data-intensive work. But humans will have to insist on their relevance in a digital age.

"Argues that technological imperatives like rationalization, universalism, monism, and autonomy have transformed the humanities and altered the relation between humans and nature. Examines technology and its impact on education, historical memory, and technological and literary values in criticism and theory, concluding with an analysis of the fiction of Don DeLillo"--Provided by publisher.

As technology advances, mobile devices have become more affordable and useful to countries around the world. The use of technology can significantly enhance educational environments for students. It is imperative to study new software, hardware, and gadgets for the improvement of teaching and learning practices. Mobile Devices in Education: Breakthroughs in Research and Practice is a collection of innovative research on the methods and applications of mobile technologies in learning and explores best practices of mobile learning in educational settings. Highlighting a range of topics such as educational technologies, curriculum development, and game-based learning, this publication is an ideal reference source for teachers, principals, curriculum developers, educational software developers, instructional designers, administrators, researchers, professionals, upper-level students, academicians, and practitioners actively involved in the education field.

Charting the evolution of practicing digital history Historians have seen their field transformed by the digital age. Research agendas, teaching and learning, scholarly communication, the nature of the archive—all have undergone a sea change that in and of itself constitutes a fascinating digital history. Yet technology's role in the field's development remains a glaring blind spot among digital scholars. Adam Crymble mines private and web archives, social media, and oral histories to show how technology and historians have come together. Using case studies, Crymble merges histories and philosophies of the field, separating issues relevant to historians from activities in the broader digital humanities movement. Key themes include the origin myths of digital historical research; a history of mass digitization of sources; how technology influenced changes in the curriculum; a portrait of the self-learning system that trains historians and the problems with that system; how blogs became a part of outreach and academic writing; and a roadmap for the continuing study of history in the digital era.

A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.