Overview

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.

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9781799856320

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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. The three most read and cited papers are: Melo, M. Manuel Joaquim Henriques Rafael , PhD, is an Associate Professor at the Faculty of Psychology (University of Lisbon). He has a PhD in Psychology (with a specialization in Career Development and Guidance) and a master's degree in Educational Sciences (with a specialization in Educational Psychology), and a degree in Psychology. His main teaching and research interests are related to the broad areas of Educational Psychology and of Work and Organizational Psychology and their interrelationships. More specifically, he is interested in Learning about adult education processes, Job Stress, Quality of Working Life and Career Development and Career Management. Mário 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. Joana Martinho de Almeida Costa Pardal , PhD, is an Invited Assistant Professor at ISCTE-IUL and researcher at ISTAR-IUL. She has researched in domains such as technology enhanced learning and computer science education. Most of her works are published in journals indexed in Scopus Q1 and Q2. Her research interests are related to teaching methods applied to computer science, technology enhanced teaching and learning, computer science education, assessment and statistical analysis. Thiago Bessa Pontes , PhD, is an Adjunct professor at the Federal University of Cariri (UFCA) in the Computer Programming study sector. He has a PhD in Education (specialty in ICT in Education by the Education Institute, University of Lisbon). He has a Master’s in Computer Science from the Computer Center of the Federal University of Pernambuco (UFPE) and a MBA in Project Management. He is the Leader of the Computer and Design Research Group – CoDe / UFCA / CNPq: http://code.ufca.edu.br.

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