Human centered learning design (33 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - Short Version (up to 4000 characters)How do we design learning that doesn't just inform, but transforms Gestalt Learning invites you into a deeper understanding of perception, pattern, and presence in instructional design. Rooted in Gestalt psychology and enriched by decades of design practice, this book offers a reflective and practical framework for creating whole, human-centered learning experiences.Through 28 poetic and insightful chapters, you'll explore how meaning emerges-not just from content, but from emotion, rhythm, story, silence, and system. You'll encounter design as craft, care, and world-making. This is not a manual. It's a compass for the designer who wants to shape learning that resonates through clarity, equity, and imagination.Whether you're an instructional designer, educator, learning architect, or systems thinker, Gestalt Learning offers language for what you've sensed but couldn't always name-and guidance for the patterns you are here to create.Topics include: - Gestalt theory applied to visual, emotional, and structural design- Co-design with AI and ethical presence in digital spaces- Equity, cultural perception, and the quiet curriculum- Systems thinking, feedback loops, and pattern recognition- Crisis-informed design and perceptual wholeness- The identity and inner life of the learning designerA book for those who design not just what is seen, but how it is seen.…

Taschenbuch. Zustand: Neu. Neuware - Designing for Difference offers a groundbreaking vision for how artificial intelligence can support-not replace-human dignity, agency, and learning for students with intellectual and developmental disabilities. Drawing from instructional design, inclusive education, and AI ethics, the book equips educators, designers, and technologists with frameworks, tools, and stories that center the margins. Through practical models, research insights, and participatory design principles, this book shows how difference isn't a problem to solve-it's the future of design.…

Taschenbuch. Zustand: Neu. Neuware - Artificial intelligence is already changing how lessons are planned, training materials are prepared, feedback is delivered, and learning is assessed, yet speed alone does not guarantee sound education. AI for Education, Training, and Assessment Design offers a clear and disciplined guide for educators, instructional designers, trainers, assessment specialists, learning leaders, consultants, and institutions that want to introduce AI without weakening accuracy, learner independence, accessibility, privacy, fairness, or professional responsibility. The book begins with the questions that should come before any tool decision, including what learning result is expected, which tasks are suitable for AI support, who remains responsible for the final judgment, which sources can be trusted, and what evidence should be kept for review. Readers are guided through the full operating system behind AI-supported education, including learners, educators, curriculum sources, platforms, workflows, assessment rules, human review, data protection, and organizational controls. Detailed chapters explain how to select suitable tasks, compare tools, design learning activities, produce varied practice, prepare formative feedback, develop assessment items, protect scoring validity, set clear rules for permitted AI assistance, and test whether learners can perform independently. Realistic cases show how weak source control, misleading output, inaccessible design, excessive assistance, hidden data use, unfair scoring, or unclear authority can damage an otherwise promising initiative. Reusable templates, scorecards, checklists, workflow records, risk registers, readiness reviews, and implementation plans help readers turn ideas into documented decisions that colleagues and reviewers can examine. Special attention is given to human judgment, learner choice, authentic evidence of learning, correction routes, incident response, cost, workload, tool changes, supplier conditions, and the ability to pause or retire a system when the evidence no longer supports its use. Whether the reader is testing a single classroom activity, redesigning workplace training, reviewing an assessment program, or planning institution-wide adoption, this book provides a structured way to connect educational purpose with responsible AI support. The result is a complete reference for building learning and assessment practices in which technology assists the work while qualified people remain answerable for the quality, fairness, and consequences of every educational decision.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learning, deep learning, generative AI, prompt engineering, retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about:¿ Machine learning, deep learning, RAG, GANs, and generative AI¿ Prompts, tokens, delimiters, retrieval, guardrails, and AI agents¿ Human oversight, explainability, privacy, bias, and risk¿ Accuracy, false positives, false negatives, and model evaluation¿ Data quality, workflows, cost, ROI, and business value¿ Human-centered AI design and practical product decisions¿ When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences.…

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Taschenbuch. Zustand: Neu. THE AI LANDSCAPE | A Field Guide to Machine Learning, Generative AI, and Human-Centered AI Design | Frank Seres | Taschenbuch | Englisch | 2026 | Applied Analytics Learning Press | EAN 9798234110503 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI becomes more ingrained learning systems, there is an opportunity and responsibility to ensure human aspects in education. Human-centered design and innovation offers empathy, inclusiveness, and guides AI tools to be more personal to provide a more meaningful learning experience. By exploring the principles and practices of human-centered learning design in an AI-driven world, we can address how educators, designers, and policymakers can collaborate to foster ethical, responsive, and equitable educational systems. Human-Centered Learning Design in the AI Era explores education, providing a basis for studying how technology might improve learning outcomes, stimulate innovation, and solve social problems. Covering topics such as policy, education, and AI, this book is an excellent resource for university professors, lecturers, academic leaders, researchers, and more.…

Taschenbuch. Zustand: Neu. Human-Centered Learning Design in the AI Era | Andi Asrifan | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337357874 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI becomes more ingrained learning systems, there is an opportunity and responsibility to ensure human aspects in education. Human-centered design and innovation offers empathy, inclusiveness, and guides AI tools to be more personal to provide a more meaningful learning experience. By exploring the principles and practices of human-centered learning design in an AI-driven world, we can address how educators, designers, and policymakers can collaborate to foster ethical, responsive, and equitable educational systems. Human-Centered Learning Design in the AI Era explores education, providing a basis for studying how technology might improve learning outcomes, stimulate innovation, and solve social problems. Covering topics such as policy, education, and AI, this book is an excellent resource for university professors, lecturers, academic leaders, researchers, and more.…

Buch. Zustand: Neu. Human-Centered Learning Design in the AI Era | Andi Asrifan | Buch | Englisch | 2025 | IGI Global | EAN 9798337357867 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) is transforming higher education by reshaping teaching, learning, assessment, and academic support. As institutions increasingly adopt AI-powered tools, ensuring these technologies are designed around human needs, values, and experiences is essential. Human-centered AI promotes the development of transparent, ethical, inclusive systems that support rather than replace human decision-making. In educational settings, AI design must address both technical performance and broader social and educational impacts. This approach fosters trust, accessibility, equity, collaboration, and learner agency while addressing concerns related to privacy, bias, accountability, and digital well-being. Continued research and innovation can help create meaningful learning experiences and support the sustainable integration of AI across higher education. Human-Centered AI Design for Higher Education Sociotechnical Learning Ecosystems examines both the opportunities and limitations of AI-driven solutions in higher education, including critical perspectives on techno-solutionism. The book explores learning design strategies, equity-centered practices, and student autonomy while addressing key issues such as AI bias, inclusion, accessibility, data privacy, and ethical governance. Covering topics including algorithms, ethics and law, and STEM pedagogy, this volume serves as a valuable resource for educators, computer engineers, sociologists, academics, researchers, and scientists seeking to advance the responsible and effective integration of AI within educational environments.…