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  • Cognitive Skills You Need for the 21st Century

    Cognitive Skills You Need for the 21st Century by Reed, Stephen K.;

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    Beszerezhetőség

    Becsült beszerzési idő: Várható beérkezés: 2026. január vége.
    A Prosperónál jelenleg nincsen raktáron.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadó OUP USA
    • Megjelenés dátuma 2020. augusztus 13.

    • ISBN 9780197529003
    • Kötéstípus Keménykötés
    • Terjedelem300 oldal
    • Méret 145x211x20 mm
    • Súly 454 g
    • Nyelv angol
    • 87

    Kategóriák

    Rövid leírás:

    Cognitive Skills You Need for the 21st Century begins with a Future of Jobs report that contrasts trending and declining skills required by the workforce in the year 2022. Trending skills include analytical thinking and innovation, active learning strategies, creativity, reasoning, and complex problem solving, and Reed discusses each in detail. Research in Cognitive Psychology, Education, and AI provides the foundation for acquiring these skills. Reed presents problems and personal anecdotes to encourage reflection, and concludes with three chapters on educating 21st century skills at all levels of instruction.

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    Hosszú leírás:

    In Cognitive Skills You Need for the 21st Century, Stephen Reed discusses a Future of Jobs report that contrasts trending and declining skills required by the workforce in the year 2022. Trending skills include analytical thinking and innovation, active learning strategies, creativity, reasoning, and complex problem solving. Part One on Acquiring Knowledge contains chapters on cognitive processes that are critical for learning. Part Two on Organizing Knowledge explains how matrices, networks, and hierarchies offer contrasting methods for visualizing organization. Part Three on Reasoning discusses visuospatial reasoning, reasoning from imperfect knowledge, and reasoning strategies. Part Four on Problem Solving focuses on the knowledge and strategies required to solve different types of problems, including those that involve design and dynamic changes. Part Five on Artificial Intelligence contains chapters on the Data Sciences, Explanatory Models, the Information Sciences, and General AI. Part Six on Education consists of three chapters on educating 21st century skills at all levels of instruction. Research in Cognitive Psychology, Education, and AI provides the foundation for acquiring these skills.

    After helping our children during the past pandemic year with their homework, we are ready for a book offering cognitive self-help. In this work addressing the contemporary need for cross-disciplinary skills and creativity in problem-solving, Reed introduces, among other ideas, a newer more modern approach to learning mathematics. He begins by citing a study undertaken by the Educational Testing Service to determine the types of skills needed for success in the modern workforce. Key to Reed's purpose is to build connections between his own expertise in cognitive psychology and the call to understand and embrace aspects of artificial intelligence. Reed contextualizes his argument for different audiences. The book is well referenced and features an excellent index.

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    Tartalomjegyzék:

    TOC
    Preface
    Introduction
    Part One. Acquiring Knowledge
    Chapter 1. Comprehension
    Chapter 2. Action
    Chapter 3. Categorization
    Chapter 4. Abstraction
    Part Two. Organizing Knowledge
    Chapter 5. Matrices
    Chapter 6. Networks
    Chapter 7. Hierarchies
    Part Three. Reasoning
    Chapter 8. Visuospatial Reasoning
    Chapter 9. Imperfect Knowledge
    Chapter 10. Reasoning Strategies
    Part Four. Problem Solving
    Chapter 11. Problems
    Chapter 12. Design
    Chapter 13. Dynamics
    Part Five. Artificial Intelligence
    Chapter 14. Data Sciences
    Chapter 15. Explainable AI
    Chapter 16. Information Sciences
    Chapter 17. General AI
    Part Six. Education
    Chapter 18. Complex Systems
    Chapter 19. Computational and Mathematical Thinking
    Chapter 20. Continuing Education
    Notes
    References

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