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{ "item_title" : "The Model of Domain Learning", "item_author" : [" Helenrose Fives", "Daniel Dinsmore "], "item_description" : "The Model of Domain Learning is the first edited volume to provide a comprehensive overview of the Model of Domain Learning (MDL). Unique in its emphasis on development, this model examines both the cognitive and motivational forces behind expertise in academic domains. Chapters written by a variety of scholars, including those responsible for the model's evolution, are tied together by commentaries that synthesize these varied perspectives. With dedicated sections focused on the foundations, current applications, and future potential of the MDL, this book is indispensable as an introduction to the theory and research associated with this topic and as a cutting-edge resource for established scholars. ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/13/820/893/1138208930_b.jpg", "price_data" : { "retail_price" : "66.99", "online_price" : "66.99", "our_price" : "66.99", "club_price" : "66.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Model of Domain Learning|Helenrose Fives

The Model of Domain Learning : Understanding the Development of Expertise

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Overview

The Model of Domain Learning is the first edited volume to provide a comprehensive overview of the Model of Domain Learning (MDL). Unique in its emphasis on development, this model examines both the cognitive and motivational forces behind expertise in academic domains. Chapters written by a variety of scholars, including those responsible for the model's evolution, are tied together by commentaries that synthesize these varied perspectives. With dedicated sections focused on the foundations, current applications, and future potential of the MDL, this book is indispensable as an introduction to the theory and research associated with this topic and as a cutting-edge resource for established scholars.

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Details

  • ISBN-13: 9781138208933
  • ISBN-10: 1138208930
  • Publisher: Routledge
  • Publish Date: December 2017
  • Page Count: 232

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