Human centered learning design (12 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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