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The 21st century has seen a transformational shift in the design of college and research libraries, one focused more on user experience and engagement than on collections. Dramatic changes in library design have been driven by changes in the core functions of universities and colleges: the reliance on digital tools and content, integration of technologies into pedagogy and research, and emphasi…
Scholarly Communication Librarianship and Open Knowledge, edited by Maria Bonn, Josh Bolick, and Will Cross, is an openly licensed textbook, packed with foundational knowledge, as well as practical lessons in open data, open access, and open education; it also includes short case studies from those working in the field. Readers hear from nearly 80 scholarly communications (scholcomm) practition…
This collection features essays, case studies, and pedagogical approaches that explore how educators managed the privacy, security, and safety concerns that rushed into our lives as we shifted into emergency remote learning in 2020. While the COVID-19 pandemic brought this concern into focus, privacy issues with online learning continue to exist alongside us and our students. This book provides…
In this cutting-edge book, Andy Nguyen, Kshitij Sharma and Ha Nguyen explain how AI can improve our understanding of how people learn. The authors demonstrate how, by analysing multimodal data from different channels, including eye gazes, physiological data and self-reports, AI can provide a clearer picture of what learners think, feel, and do, going far beyond traditional tests or surveys.
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what…
Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work is an edited collection that explores the social impact of Artificial Intelligence over the coming decades, specifically how this emerging technology will transform and disrupt our contemporary institutions. Chapters in this book discuss the history of technological revolutions and consider the an…
A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become to…
Distributional reinforcement learning is a new mathematical formalism for thinking about decisions. Going beyond the common approach to reinforcement learning and expected values, it focuses on the total reward or return obtained as a consequence of an agent\'s choices—specifically, how this return behaves from a probabilistic perspective. In this first comprehensive guide to distributional r…
Self-directed learning is perhaps the Holy Grail of adult learning and for good reason. Within this seemingly simple phrase lies the battleground for the frustrations of both educator and learner as they work through the difficulties of an unequal and sometimes intense partnership
A comprehensive theoretical and practical guide to the operating principles of knowledge auditing, illustrated with numerous case studies. A knowledge audit provides an “at a glance” view of an organization's needs and opportunities. Its purpose is to improve an organization's effectiveness through a better understanding of the dynamics and levers of knowledge production, access, and use…