Unterricht mit ChatGPT planen, Bilder mit KI-gestützten Generatoren erzeugen, wertvolle Zeit mithilfe automatisierter Prozesse sparen - So kann KI den Schulalltag bereichern! Mit der Veröffentlichung des Chatbots ChatGPT im November 2022 kam ein großer Stein ins Rollen, der das Thema Künstliche Intelligenz in das Bewusstsein einer breiten Öffentlichkeit gerückt hat. Bald darauf erreichten die Möglichkeiten von ChatGPT und Co. auch das Feld schulischer Diskussion und werden seitdem von Lehrkräften und Bildungsträgern ausgelotet, in die Praxis eingebunden und kritisch reflektiert. Dieser Ratgeber hilft Ihnen dabei, einen Überblick über die vielfältigen Einsatzgebiete von KI in Schule und Unterricht zu gewinnen. Er beleuchtet zuerst die theoretischen Grundlagen und bietet im Anschluss praktische, direkt umsetzbare Ansätze für Lehrkräfte und Lernende, um Lehr- und Lernprozesse zu bereichern und zu optimieren. Der Ausbau digitaler Kernkompetenzen durch zielführendes Prompting sowie Aspekte des Datenschutzes werden dabei besonders in den Fokus genommen. Neben der Vorstellung bestehender Tools geht es aber auch um eine tiefgreifende Transformation des Bildungswesens, bei der KI im Rahmen der Schulentwicklung nicht nur als Werkzeug, sondern als integraler Bestandteil einer neuen Lernkultur angesehen wird. Durch die Verbindung von Theorie und Praxis bietet das Buch eine wertvolle Ressource, um sich in einer KI-geprägten Welt zu orientieren und den eigenen Unterricht zukunftsfähig zu gestalten. Es ermutigt, die Herausforderungen und Chancen der KI im Bildungskontext anzunehmen und eine aktive Rolle in der Gestaltung einer zeitgemäßen Unterrichtskultur zu spielen.

This book aims to provide insight into how digital technologies may bridge and enhance formal and informal workplace learning. It features four major themes: 1. Current research exploring the theoretical underpinnings of digital workplace learning. 2. Insights into available digital technologies as well as organizational requirements for technology-enhanced learning in the workplace. 3. Issues and challenges for designing and implementing digital workplace learning as well as strategies for assessments of learning in the workplace. 4. Case studies, empirical research findings, and innovative examples from organizations which successfully adopted digital workplace learning.

This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.

Awareness of the importance of nutrition and physical activity for good health has given rise to a multitude of projects with different scopes and methodologies. This variety makes it necessary to bring the results of these activities into a coordinated framework. This book aims to summarize the activities carried out by the EU countries to address these determinants of health. Contributors are drawn from Germany, Italy, Sweden, and United Kingdom.

It is commonly accepted that the golden rule--most often formulated as "do unto others as you would have them do unto you"--is a unifying element between many diverse religious traditions, both Eastern and Western. Its influence also extends beyond such traditions, since many non-religious individuals hold up the golden rule as central to their lives. Yet, while it is extraordinarily important and widespread, the golden rule is often dismissed by scholars as a vague proverb that quickly leads to absurdities when one attempts to formulate it in clear terms. In this book, Harry J. Gensler defends the golden rule and addresses all of the major philosophic objections, pointing out several common misunderstanding and misapplications. Gensler first discusses golden-rule reasoning and how to avoid the main pitfalls. He then relates the golden rule to world religions and history, and to areas like moral education, egoism, evolution, society, racism, business, and medicine. The book ends with a discussion of theoretical issues (like whether all morality reduces to the golden rule, which the author argues against). Ethics and the Golden Rule offers two introductory chapters, the first is simpler and the second more technical; a reader may start with either or both. One can then read any combination of further chapters, in any order, depending on one's interests; but Chapters 13 and 14 are technical and assume one has read Chapter 2. This is "a golden-rule book for everyone," accessible to a wide readership.