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Este libro es el producto y la propuesta del quehacer intelectual, de la discusión y la investigación académica, de la preocupación pastoral y educativa de quienes conforman la red académica IUS Education Group de las Instituciones Universitarias Salesianas (IUS EG). Recoge las memorias del VI Seminario del IUS EG, que se llevó a cabo en la Universidad Politécnica Salesiana, sede Quito, del 26 al 28 de abril de 2022. El Seminario -así como su memoria- responde a tres ejes temáticos “Desafíos educativos-pastorales de la educación superior salesiana en contextos de crisis”, “Formas y espacios para la participación juvenil” e “Innovaciones educativas para la educación superior en contextos de frontera”. Conferencias magistrales, trabajos de investigación y relatos de experiencia que se presentaron en los paneles y mesas temáticas, conforman esta memoria. Los enfoques innovadores, enmarcados en el modelo educativo y el carisma salesiano, constituyen una respuesta a los desafíos de la educación superior salesiana en contextos de crisis y abren la discusión para futuras investigaciones del colectivo académico
Highlighted are the pedagogical, organizational, cultural, social, and economic factors that influence the adoption and integration of emerging technologies in distance education. Advice is offered on how educators can launch effective and engaging distance education initiatives, in response to technological advancements, changing mindsets, and economic and organizational pressures.
The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.
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This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.
A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “r...
"Every once in a great while, there arises a young psychiatrist with entirely new rehabilitation ideas for helping patients retrieve their lives from psychosis. Usually such ideas initially elicit significant negative reactions from peers, but a handful of sturdy physicians have continued on to show the world that something different is possible—including George Brooks of the United States, E. E. Antinnen of Finland, and Franco Basaglia of Italy. Now we have to add to this list of illustrious doctors the name of Alberto Fergusson of Colombia”. (Extract of the "Foreword”)"
The vast circulations of mobile devices, sensors and data mean that the social world is now defined by a complex interweaving of human and machine agency. Key to this is the growing power of algorithms – the decision-making parts of code – in our software dense and data rich environments. Algorithms can shape how we are retreated, what we know, who we connect with and what we encounter, and they present us with some important questions about how society operates and how we understand it. This book offers a series of concepts, approaches and ideas for understanding the relations between algorithms and power. Each chapter provides a unique perspective on the integration of algorithms into the social world. As such, this book directly tackles some of the most important questions facing the social sciences today. This book was originally published as a special issue of Information, Communication & Society.
Mothers and infants exchanging gleeful vocalizations, married couples discussing their problems, children playing, birds courting and monkeys fighting have this in common: their interactions with others unfold over time. Almost anyone who is interested can observe and describe such phenomena. But usually scientists demand more. They want observations that are replicable and amenable to scientific analysis, while still faithful to the dynamics of the phenomena studied. This book provides a straightforward introduction to scientific methods for observing social behavior. Because of the importance of time in the dynamics of social interaction, sequential approaches to analyzing and understanding social behavior are emphasized. An advanced knowledge of statistical analysis is not required. Instead, the authors present fundamental concepts and offer practical advice.