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Adaptive Technologies for Training and Education [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  1107583179
  • ISBN-10:  1107583179
  • ISBN-13:  9781107583177
  • ISBN-13:  9781107583177
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  380
  • Pages:  380
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2015
  • Pub Date:  01-May-2015
  • SKU:  1107583179-11-MPOD
  • SKU:  1107583179-11-MPOD
  • Item ID: 101380779
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 02 to Jul 04
  • Notes: Brand New Book. Order Now.
The purpose of this volume is to provide an overview of the latest advancements in computer-based training.The purpose of this volume is to provide an overview of the latest advancements in computer-based training. In particular, it explores how the data a training system captures about the student can be used to alter the way training is presented on an individual basis. The purpose of this adaptation is to meet the needs of each unique learner and to support more efficient learning. Although there are other books on training technology, this one is unique in its concern for adult learners and learning outside of traditional educational settings.The purpose of this volume is to provide an overview of the latest advancements in computer-based training. In particular, it explores how the data a training system captures about the student can be used to alter the way training is presented on an individual basis. The purpose of this adaptation is to meet the needs of each unique learner and to support more efficient learning. Although there are other books on training technology, this one is unique in its concern for adult learners and learning outside of traditional educational settings.This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well defined or where student-system interactions are less structured, such as during scenario-based simulation and immersive serious games. In order to address how to expand the reach of adaptive training technology to these domains, leading experts in the field present their work in areas such as student modeling, pedagogical strategy, knowledge assessment, natural language processing, and virtual human agents. Several approaches to designing adló‡
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