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4C-ID Model and Cognitive Approaches to Instructional Design and Technology: Emerging Research and Opportunities: Emerging Research and Opportunities [Minkštas viršelis]

  • Formatas: Paperback / softback, 243 pages, aukštis x plotis: 254x178 mm, weight: 633 g
  • Išleidimo metai: 18-Dec-2020
  • Leidėjas: Business Science Reference
  • ISBN-10: 1799856321
  • ISBN-13: 9781799856320
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 243 pages, aukštis x plotis: 254x178 mm, weight: 633 g
  • Išleidimo metai: 18-Dec-2020
  • Leidėjas: Business Science Reference
  • ISBN-10: 1799856321
  • ISBN-13: 9781799856320
Kitos knygos pagal šią temą:
There has been an evolution of the explanations on the results of research on human learning and how digital technologies have supported the design of more efficient learning environments. Previous theories such as Richard Mayer's cognitive theory of multimedia learning and John Sweller's cognitive load theory have gained signification attention and remain the two main theories within the multimedia learning field. However, there has not yet been a book compiled of several investigations on the specific 4C-ID model that covers different domains of knowledge. The 4C-ID model combines the two main theories of Richard Mayer and John Sweller to advance the field of learning and instruction.

4C-ID Model and Cognitive Approaches to Instructional Design and Technology: Emerging Research and Opportunities explores the behavioral and constructivist approaches to learning and instruction and focuses mainly on the particular cognitive approach and resulting theories and insights of the 4C-ID model. The chapters present the results of three experimental studies applied to the teaching of electrical circuits, initiation to computer programming using the Alice microworld, and computer programming using Python textual language. This book is a valuable resource tool for computer programmers, computer scientists, teachers, educational psychologists, practitioners, researchers, academicians, and students interested in the various approaches to learning and instruction in terms of the 4C-ID instructional model.
Preface vii
Acknowledgment ix
Section 1 Foundations
Chapter 1 Learning and Instructional Theories
1(29)
Chapter 2 Behavior Frameworks of Learning and Instruction
30(21)
Chapter 3 Cognitivist Frameworks of Learning and Instruction
51(29)
Chapter 4 The Instruction Theory of Robert Gagne: The Conditions of Learning Theory
80(14)
Chapter 5 The Instruction Theory of Jerome Bruner: The Guided Discovery Learning Theory
94(18)
Chapter 6 The Instruction Theory of van Merrienboer: The 4C/ID-Model
112(16)
Section 2 Empirical Research With 4C/ID Model
Chapter 7 The 4C/ID Model Applied to the Electrical Circuits Learning
128(22)
Chapter 8 The 4C/ID Model with Microworlds Applied to Computer Programming: From Theory to Practice
150(16)
Chapter 9 The 4C/ID Model Applied to Learn Computer Programming With Python
166(18)
Chapter 10 Literature Review and Bibliometric Analysis on the 4C/ID Model: From 2000 to 2018
184(17)
Related Readings 201(39)
About the Authors 240(2)
Index 242
Guilhermina Lobato Miranda, PhD, is a psychologist and assistant professor at the Institute of Education, Lisbon University. She teaches and researches in the domains of educational technology and instructional psychology and she coordinates the doctorate in ""ICT in Education"". She was the main editor (and chapter author) of three books: Educational psychology (2005), Online teaching and multimedia learning (2009), and Psychology of online behavior (2015). She has published several articles in Portuguese and international journals.

Mario Melo is physics teacher in a private secondary school in Lisbon, Portugal. He finish the Ph.D. in Information and Communication Technologies (ICT) in Education in the Institute of Education, Lisbon University. He research in Instructional Design models, Cognitive Load Theory, multimedia principals and complex learning environments and design of digital educational resources for the teaching of physics.