Neuroscience and Technology Transform the Educational Ecosystem
Published on 5. October 2022
269 pages
979-8-88697-248-1 (ISBN)
Description
Scientists, educationalists and policymakers are increasingly recognizing the relevance of neuroscience to education and its potential impact on pedagogy. Our thoughts, perceptions and actions continuously change the strength of connections between neurons in the brain. These physical connections represent our understanding and knowledge of the world around us, our brain plasticity. Education plays a crucial role in changing brains. Teachers are the professionals changing brain connectivity in young people daily! At the same time, significant neuroscience insights reveal the impact of environmental factors of all human technology interfaces on the brain. This book includes thirteen chapters that provide an overview of how the brain works to generate the mind and how technology can be leveraged to enhance education and learning.
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Franco F. Orsucci | Nicoletta Sala
Neuroscience and Technology Transform the Educational Ecosystem
Book
10/2022
Nova Science Publishers Inc
€256.99
Shipment within 10-20 days
Content
- Intro
- Contents
- Preface
- Book Organization
- Section 1. Theory
- Chapter 1
- Interdisciplinary Knowledge and Beyond: Algorithms and Patterns0F(
- Abstract
- References
- Chapter 2
- Indirect Biological Measures of Consciousness from Field Studies of Brains as Dynamical Systems2F(
- Abstract
- 1. Introduction
- 2. The Flow of Activity through Dynamical Systems and Its Description as Information
- 3. Comparison of the Reflex Arc and the Action-Perception Cycle
- 4. The Construction and Expression of Knowledge through Background Activity
- 5. Deducing Some Properties of Consciousness from Nonlinear Brain Dynamics
- Conclusion
- References
- Chapter 3
- Circle Mapping Applied in Neural Impulse Sequence Analysis-Neuron Code Research4F(
- Abstract
- 1. Introduction6F
- 1.1. Is the Impulse Sequence Space an Ordered One?
- 1.2. Are There the Characteristics of Operation and Mapping in O Space?
- 2. Circle Mapping Based Analysis on Output Impulse from Neuron
- 3. Symbolic Dynamics for Circle Mapping
- 4. The Ordering Rule for Response of Neurons Stimulated by Impulses of Different Frequencies
- 5. Rules of Changes of Neuron with Respect to Ionic Channel and Other Parameters
- 5.1. Change of K Ionic Channel
- 5.2. Change of Cell Membrane Capacitance
- 5.3. Change of Na Ionic Channel
- 6. Further Discussion on Circle Mapping
- 7. Signal Space, Orbit Space and Symbolic Space
- 8. Discussion
- Conclusion
- References
- Chapter 4
- Cognitive Axioms as Low-Level Rules of Communicative and Other Practices in Social Dynamical Systems
- Abstract
- 1. Introduction
- 2. Axiomatic Foundations of Cognition and Communication from the Dynamical Systems' Perspective
- 3. The Way of Life Viewed as a Dynamical Structure: The Concept of Conversion
- 4. Suggestiveness Actualising as Suggestion: The Contributors to the Process
- 4.1. The Conversion Characteristics
- 4.2. The Contributing Properties of Communicative Culture within a Sociomental Group
- 5. Dynamical Systemic Approach in Analysing the Messages with Suggestive Elements
- 6. Societal Communicative Situations Seen through Human Conversion Activity and Axiomatic Functioning
- 6.1. Sme Typical Communicative Situations in Dynamical Social Systems
- 6.1.1. Communicative Stability
- 6.1.2. Communicative Challenge
- 6.1.3. Communicative Crisis
- 6.2. Some Common Outcomes of Communication Crisis
- 6.2.1. Communicative Revolution
- 6.2.2. Communicative Jump
- 6.2.3. Communicative Stylisation
- 6.2.4. Communicative Isolation
- 6.3. Pedagogical and Didactological Systems and Needs as Order Factors in Social Context
- 6.4. Communicative Cycles
- Conclusion
- References
- Chapter 5
- Mind Force Theory: Hyper-Network Dynamics in Neuroscience8F(
- Abstract
- 1. Introduction: Interacting Oscillators
- 2. Precursors
- 3. Fields
- 4. Force
- 5. Conscious Mental Fields
- 6. The Aconscious
- 7. Energy
- 8. Four Pillars
- 9. Modeling
- Conclusion
- References
- Chapter 6
- On the Nature and Neural Mechanisms of Mind Force
- Abstract
- 1. Introduction
- 2. What Are the Basic Forms Taken by Mind Force?
- 3. How Is Mind Force Generated from Metabolic Energy?
- 4. How Is the Steady-State Flow of Mind Force Shaped into Oscillations?
- 5. How Are Synchronized Oscillations Parsed into Bursts Like Cinematic Frames?
- 6. How Are Frames Textured in the Expression of Memories and Actions?
- Conclusion
- References
- Chapter 7
- An Inquiry/Review into the Generalized Spectrum of Dimensions, Dq, and Its Relevance to Research10F(
- Abstract
- 1. Introduction
- 2. Mathematical Analysis
- 3. Experimental Technique and Signal Processing
- 4. Fractal Spectra of EEGs
- 5. Visualization
- 6. My Wish List
- Conclusion
- References
- Chapter 8
- Gender-Specific Strange Attractors Describe Human Brain Development during Childhood, Latency, Adolescence and Young Adulthood12F(
- Abstract
- 1. Introduction
- 2. Method
- 3. Results
- 4. Gender-Specific Regional Clusters of Neural Networks
- 5. Local Neural Networks from the Left Hemisphere
- 5.1. Local Neural Network T3T5
- 5.2. Local Neural Network O1T3
- 5.3. Local Neural Network P3F7
- 6. Local Neural Networks from the Right Hemisphere
- 6.1. Local Neural Network T4T6
- 6.2. Local Neural Network P4F8
- 7. Fitting the Neural Network Data to a Cusp Manifold
- Conclusion
- References
- Section 2. Technology
- Chapter 9
- Extended Reality in Education
- Abstract
- 1.Introduction
- 2. Virtual Reality
- 3. Augmented Reality
- 4. Mixed Reality
- 5. VR, AR, and MR: Differences
- 6. Future Trends
- Conclusion
- References
- Chapter 10
- Educational Robotics in Learning Paths
- Abstract
- Introduction
- 1. Learning Methods
- 2. Students and Their Motivation
- 3. Group Dynamics
- 3.1. Group Work as a Learning Tool
- 3.2. Structuring Groups: Interaction and Responsibility
- 4. The Role of Robots in Learning
- 5. The Importance of Sharing in Education
- Conclusion
- References
- Chapter 11
- Fractal Geometry in Computer Graphics and in Virtual Reality16F(
- Abstract
- 1. Introduction
- 2. Fractal Objects
- 2.1. The Self-Similarity
- 2.2. The Iterated Function System
- 2.3. L-Systems
- 3. Fractal Geometry in Computer Graphics
- 4. Fractal Geometry for Modelling Virtual Landscapes
- Conclusion
- References
- Section 3. Case Study
- Chapter 12
- Multidisciplinary Skills in the School of Complexity: Educational Technologies, Human Factor, and Non-Cognitive Skills
- Abstract
- Introduction
- 1. Ecosystemic Factors of Learning
- 1.1. Non-Cognitive Skills and Transformative Learning
- 1.2. Non-Cognitive Skills and Human Capital
- 2. Multidimensionality of Non-Cognitive Factors
- 3. Case Study 1
- Edutainment at the Wauniversity of Sassari (Italy)
- 3.1. The Student-Centered Model
- 4. Case Study 2
- Conclusion
- References
- About the Editors
- Index
- Blank Page
