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Deep Learning in Introductory Physics: Exploratory Studies of Model Based Reasoning, Mark J. Lattery


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Автор: Mark J. Lattery
Название:  Deep Learning in Introductory Physics: Exploratory Studies of Model Based Reasoning
ISBN: 9781681236292
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 168123629X
Обложка/Формат: Hardback
Страницы: 276
Вес: 0.60 кг.
Дата издания: 30.09.2016
Серия: Education
Язык: English
Размер: 234 x 156 x 18
Читательская аудитория: Professional and scholarly
Ключевые слова: Educational equipment & technology, computer-aided learning (CAL),Educational: Physics
Поставляется из: Англии
Описание: Deep Learning in Introductory Physics: Exploratory Studies of Model?Based Reasoning is concerned with the broad question of how students learn physics in a model?centered classroom. The diverse, creative, and sometimes unexpected ways students construct models, and deal with intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication in several years to thoroughly address the “coherence versus fragmentation” debate in science education, and the first to advance and explore the hypothesis that deep science learning is regressive and revolutionary. Deep Learning in Introductory Physics also contributes to a growing literature on the use of history and philosophy of science to confront difficult theoretical and practical issues in science teaching, and addresses current international concern over the state of science education and appropriate standards for science teaching and learning.The book is divided into three parts. Part I introduces the framework, agenda, and educational context of the book. An initial study of student modeling raises a number of questions about the nature and goals of physics education. Part II presents the results of four exploratory case studies. These studies reproduce the results of Part I with a more diverse sample of students; under new conditions (a public debate, peer discussions, and group interviews); and with new research prompts (model?building software, bridging tasks, and elicitation strategies). Part III significantly advances the emergent themes of Parts I and II through historical analysis and a review of physics education research.

Assessing Model-Based Reasoning using Evidence- Centered Design

Автор: Robert J Mislevy; Geneva Haertel; Michelle Riconsc
Название: Assessing Model-Based Reasoning using Evidence- Centered Design
ISBN: 3319522450 ISBN-13(EAN): 9783319522456
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

  1. Preface
  2. Introduction
  3. Model-Based Reasoning
  4. Evidence-Centered Assessment Design
  5. Design Patterns for Model-Based Reasoning
  6. Model Formation
  7. Model Use
  8. Model Elaboration
  9. Model Articulation
  10. Model Evaluation
  11. Model Revision
  12. Model-Based Inquiry
  13. An Example of a Model-Based Reasoning Assessment Task
  14. Conclusion

Introductory Physics

Автор: Mays John D.
Название: Introductory Physics
ISBN: 0986352926 ISBN-13(EAN): 9780986352928
Издательство: Неизвестно
Цена: 152890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Deep Learning in Introductory Physics: Exploratory Studies of Model Based Reasoning

Автор: Mark J. Lattery
Название: Deep Learning in Introductory Physics: Exploratory Studies of Model Based Reasoning
ISBN: 1681236281 ISBN-13(EAN): 9781681236285
Издательство: Mare Nostrum (Eurospan)
Цена: 50820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deep Learning in Introductory Physics: Exploratory Studies of Model?Based Reasoning is concerned with the broad question of how students learn physics in a model?centered classroom. The diverse, creative, and sometimes unexpected ways students construct models, and deal with intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication in several years to thoroughly address the “coherence versus fragmentation” debate in science education, and the first to advance and explore the hypothesis that deep science learning is regressive and revolutionary. Deep Learning in Introductory Physics also contributes to a growing literature on the use of history and philosophy of science to confront difficult theoretical and practical issues in science teaching, and addresses current international concern over the state of science education and appropriate standards for science teaching and learning.The book is divided into three parts. Part I introduces the framework, agenda, and educational context of the book. An initial study of student modeling raises a number of questions about the nature and goals of physics education. Part II presents the results of four exploratory case studies. These studies reproduce the results of Part I with a more diverse sample of students; under new conditions (a public debate, peer discussions, and group interviews); and with new research prompts (model?building software, bridging tasks, and elicitation strategies). Part III significantly advances the emergent themes of Parts I and II through historical analysis and a review of physics education research.


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