The Future of Collaborative Learning

$160.00

Alex M. Arnold (Editor)

Series: Education in a Competitive and Globalizing World
BISAC: EDU000000

This book consists of seven chapters, which speak about the future of collaborative learning. The aim of Chapter One is to shed light on the future of collaborative learning, especially using AI, since there is still a gap in research in this field. Chapter Two presents a literature review and analysis of the application of metaheuristic algorithms in online learning systems, addressing heterogeneous optimization problems and includes the application of recently developed algorithms and examining their performance. Chapter Three focuses not solely on AI itself, its capabilities, or technical specifications, but primarily on the role of AI in socio-technological relationships. Chapter Four aims to provide an overview that specifically examines the significance of neural networks in the context of collaborative learning, where their ability to analyze data and personalize user experiences is utilized to enhance the efficiency, engagement, and quality of learning in online and distance learning systems. Chapter Five reviews the research on collaborative learning and the contribution it makes to promoting different ways of thinking and working, and the effect these skills have on students’ capacities to think critically and creatively, communicate effectively, and exercise initiative and adaptability as they seek to deal with challenging problems. It also discusses the key role teachers play in designing instructional activities that promote students’ collaborative learning and engagement. Chapter Six focuses on showing researchers and the educational community the current situation on Metaverse, a topic that marks the future of virtual learning environments in both the medium and long term.

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Table of Contents

Preface

Chapter 1. The Future of Collaborative Learning in Education with the Assistance of Artificial Intelligence (AI)
Maria Sapountzi
E-learning Content Developer/Instructional Designer, Athens, Attiki, Greece

Chapter 2. Application of Metaheuristic Algorithms in Online Learning Systems: A Systematic Literature Review
Nebojsa Gavrilovic, MSc and Tatjana Sibalija, PhD
Faculty of Information Technology, Belgrade Metropolitan University, Belgrade, Serbia

Chapter 3. Collaborative Learning in AI Prospects: Developing Human-Machine Partnerships
Ryhor Miniankou, PhD and Aliaksandr Puptsau, PhD
Academic Department of Social Sciences, European Humanities University, Vilnius, Lithuania

Chapter 4. Exploring the Role of Neural Networks in Collaborative Learning: A Systematic Review
Jovana Jovic, Tatjana V. Sibalija, and Miroslava Raspopovic Milic
Belgrade Metropolitan University, Belgrade, Serbia

Chapter5. Collaborative Learning: The Context for 21st Century Success
Robyn M. Gillies
The University of Queensland, Brisbane, Australia

Chapter 6. Reflections on Metaverses in Education: The Present and Future of Collaborative Learning
Nahur Manuel Meléndez Araya¹, MIT; José Luis Jorquera Pallauta¹, BA; Nahur Jovial Meléndez Castillo², MBA; and Jocelyn Andrea Soto Castillo³, MA
¹Departamento de Ingeniería Informática y Ciencias de la Computación, Universidad de Atacama, Copiapo, Atacama, Chile
²MConsultores, La Serena, Coquimbo, Chile
³Liceo Católico Atacama, Copiapó, Atacama, Chile

Chapter 7. Educational Robotics: An Approach to a Theoretical Perspective
Nahur Manuel Meléndez Araya¹, MIT, Carlos Antonio Vernal Navarrete², BA, Nahur Jovial Meléndez Castillo², MBA, and Jocelyn Andrea Soto Castillo³, MA
¹Departamento de Ingeniería Informática y Ciencias de la Computación, Universidad de Atacama, Copiapó, Atacama, Chile
²MConsultores, La Serena, Coquimbo, Chile
³Liceo Católico Atacama, Copiapó, Atacama, Chile

Index

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