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Autor(en): 
  • Anton E. Lawson
  • The Neurological Basis of Learning, Development and Discovery: Implications for Science and Mathematics Instruction 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2003  
    Genre:  Psychologie / Pädagogik 
     
    B / Cognition & cognitive psychology / Education / Education, general / Instruction / Instructional Psychology / Learning / Learning & Instruction
    ISBN:  9781402011801 
    EAN-Code: 
    9781402011801 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #18 - Contemporary Trends and Issues in Science Education  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  1350 gr 
    Seiten:  285 
    Illustration:  XVI, 285 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A goal of mine ever since becoming an educational researcher has been to help construct a sound theory to guide instructional practice. For far too long, educational practice has suffered because we have lacked firm instructional guidelines, which in my view should be based on sound psychological theory, which in turn should be based on sound neurological theory. In other words, teachers need to know how to teach and that "how-to-teach" should be based solidly on how people learn and how their brains function. As you will see in this book, my answer to the question of how people learn is that we all learn by spontaneously generating and testing ideas. Idea generating involves analogies and testing requires comparing predicted consequences with actual consequences. We learn this way because the brain is essentially an idea generating and testing machine. But there is more to it than this. The very process ofgenerating and testing ideas results not only in the construction of ideas that work (i. e. , the learning of useful declarative knowledge), but also in improved skill in learning (i. e. , the development of improved procedural knowledge).
      



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