<span>This book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14–16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected par
Smart Education and e-Learning - Smart Pedagogy (Smart Innovation, Systems and Technologies, 305)
✍ Scribed by Vladimir L. Uskov (editor), Robert J. Howlett (editor), Lakhmi C. Jain (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 543
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This book serves as a reference for researchers and practitioners in academia and industry. Smart education, smart e-learning and smart pedagogy are emerging and rapidly growing areas that have a potential to transform existing teaching strategies, learning environments and educational activities and technology. They are focused at enabling instructors to develop innovative ways of achieving excellence in teaching in highly technological smart university and providing students with new opportunities to maximize their success using smart classrooms, smart systems and technology. This book contains the contributions presented at the 9th international KES conference on Smart Education and e-Learning (SEEL-2022) with the Smart Pedagogy as the main conference theme. It comprises of forty nine high-quality peer-reviewed papers that are grouped into several interconnected parts: Part 1―Smart Pedagogy, Part 2―Smart Education, Part 3―Smart e-Learning, Part 4―Smart University, Part 5―Smart Education: Systems and Technology, Part 6―Digital Humanities and Social Sciences for Smart University Development: the Innovative Methods, Models and Technologies, Part 7―Digital Transformation of Education and Economics in Smart University and Part 8―Smart Education for Children with Special Educational Needs. We believe this book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators and practitioners―those who are interested in smart education, smart e-learning and smart pedagogy.
✦ Table of Contents
Preface
Contents
About the Editors
Smart Pedagogy
Smart Pedagogy: Concepts, Components, Outcomes
1 Innovative Teaching Approaches
2 Our Previous Works
3 Project Goal and Objectives
4 Smart Pedagogy: Definition and Concepts
5 Outcome # 1: Our Implementations of Innovative Teaching Strategies as Components of Smart Pedagogy
5.1 Learning-by-Doing Teaching Strategy
5.2 Crowdsourcing Based Teaching Strategy
5.3 Smart Learning Analytics Based Teaching Strategy
5.4 Flipped Classroom Teaching Strategy
5.5 Collaborative Learning Teaching Strategy
5.6 Gamification/Badging Based Teaching Strategy
5.7 Extended Reality Based Teaching Strategy
6 Outcome 2: Student Feedback about Implemented Innovative Teaching Strategies as Components of Smart Pedagogy
7 Conclusions. Future Steps
References
Hybrid Take-Home Labs for the STEM Education of the Future
1 Introduction
2 Planned Innovations in the Teaching Process
3 Usage of the GOLDi Online Lab in Basic Computer Science Education
3.1 Tasks in the Basic Training of Computer Science
3.2 Experimenting with the GOLDi Online Lab
3.3 Usage for Current and Future Learning Scenarios
3.4 Expansion of the Lab Concept to Include Hybrid Take-Home Labs
4 Conclusion
References
Smart Pedagogy-Focused Design and Development of Innovative Curriculum for Data Cleaning
1 Data Analytics and Data Cleaning in Industry
2 Data Cleaning Curricula Available
3 Goal, Objectives, Uniqueness and Main Components of the Developed Data Cleaning Curriculum
4 Design and Development Outcomes
4.1 Main Topics
4.2 Homework Assignments
4.3 Lab Practicum
4.4 Mandatory Research Project
5 Conclusions. Future Steps
References
Smart Pedagogy: An Extended Reality (XR) Based Approach
1 Introduction
2 XR-Based Smart Pedagogy: Literature Review
2.1 Introduction to Smart Pedagogy
2.2 Introduction to Extended Reality
3 Project Goal
4 Design and Development Outcomes: XR-Based Software/Courseware Developed
5 Research Outcomes: XR-Based Smart Pedagogy
5.1 Organization of Surveys
5.2 Student Feedback Obtained
5.3 The Analysis of Research Data
6 Conclusions. Future Steps
References
Innovative Approach for Tertiary Education System: The Crowdsourcing Model
1 Introduction
1.1 Problem and Aims of the Study
1.2 Methodological Basis of Research
1.3 The Research Basis
2 Theoretical Basis of Research
2.1 Literature Review
2.2 The Crowdsourcing Model for Education
3 Our Results
3.1 Smart Pedagogy for International Cooperation
3.2 Smart Technologies for Smart Education: Survey
3.3 Innovative Strategies for Education: Simulation
3.4 Crowdsourcing for Education: Simulation
3.5 Assessment of the Smartness Level in Higher Education
4 Conclusion and Future Trends
References
Smart Pedagogy-Focused Design and Development of Innovative Curriculum for Data Visualization
1 Data Visualization in Industry: Main Benefits
2 Data Visualization Curricula in Academia
2.1 DV Curriculum in U.S. Universities (Examples)
2.2 DV curriculum in non-U.S. universities (examples)
2.3 The Outcomes of Performed Analysis
3 Goal, Objectives, Uniqueness and Main Components of the Developed Data Visualization Curriculum
4 Design and Development Outcomes
4.1 Main Topics
4.2 Homework Assignments
4.3 Lab Practicum
4.4 Mandatory Design and Development or Research Project
5 Conclusions. Future Steps
References
Smart Education
Long-Term and Early Effects of Computer-Assisted Instruction in Low Socioeconomic Status Students
1 Introduction
2 Methods
2.1 Participants
2.2 Materials
2.3 Procedure
3 Findings
3.1 Three Years of Usage vs. No Usage: Overall Effects
3.2 Kindergarten and First Grade Usage vs. No Usage: Long-Term Effects
3.3 Three Years of Usage vs. First Grade and Second Grade Usage: Early Effects
4 Conclusions
References
Augmented Intelligence for Pedagogically Sustained Training and Education
1 Introduction
2 Background Work
2.1 Pedagogical Frameworks and Emerging Technologies
2.2 Creativity and Critical Thinking
3 The Proposed Framework
3.1 Research Methodology
3.2 The Overall Approach
3.3 New Roles for Instructors and Learners
3.4 Tools and Infrastructure
4 An Application Scenario
5 Conclusions
References
Case Study on Smart Education During a Global Pandemic: A Hybrid, International Course on Global Software Engineering
1 Introduction
2 Related Work
3 Course Organization
3.1 Common Course Structure
3.2 Differences in Courses in Japan and Germany
3.3 Retrospective Methods
4 Results
4.1 Results of the Project Retrospective
4.2 Retrospect Observations
4.3 Discussion of Results
5 Conclusions
References
Long-Term and Early Effects of Computer-Assisted Instruction in Early Childhood
1 Introduction
2 Methods
2.1 Participants
2.2 Materials
2.3 Procedure
3 Findings
3.1 Three Years of Usage vs. No Usage: Overall Effects
3.2 Kindergarten and First Grade Usage vs. No Usage: Long-Term Effects
3.3 Three Years of Usage vs. First Grade and Second Grade Usage: Early Effects
4 Conclusions
References
Shifting to Smart Conferences: Author Perceptions of Presenting Virtually at the 2021 Associated Schools of Construction Conference
1 Introduction
2 Literature Review
2.1 Construction Education-Associated Schools of Construction Conference
2.2 Traditional Conferences
2.3 Virtual Conferences
2.4 Smart Learning Communities-Smart Conferences
3 Associated Schools of Construction International Conference
4 Research Method: Author Questionnaires
5 Results
6 Recommendations and Conclusion
References
The Simultaneous Effect of Class Attendance on Grade Expectations in an Online Learning Setting
1 Introduction
2 Preliminaries
3 Materials and Methods
3.1 Research Settings
3.2 Participants
3.3 Empirical Model and Instrumental Variables
3.4 Endogenous, Exogenous and Control Variables
4 Results
5 Discussion, Implications, Limitations, and Extensions
References
Smart e-Learning
Analysis of Student Outcomes in the Remote Laboratory NetLab with Real-Time Support
1 Introduction
2 The Remote Laboratory NetLab
3 Pre-survey Results
4 Student Error Analysis
5 Support System Interactions
6 Laboratory Report Results
7 Future Work
8 Conclusions
References
Data-Driven Smart e-Learning for English for Specific Purposes
1 Introduction
1.1 English for Specific Purposes
1.2 Construction-Based ESP Pedagogy
1.3 Data-Driven ESP Pedagogy
1.4 Project Goal
2 System Design and Implementation
2.1 Overall Functionality
2.2 System Architecture
2.3 System Features
2.4 Efficient Retrieval of Linguistic Constructions
2.5 Data-Driven Exploration
2.6 Guided Construction Learning
3 Case Study
4 Discussions
5 Conclusion
References
Constructive Approach to Students’ Error Processing in E-learning Courses
1 Introduction
2 The Concept and Styles of Interactivity
3 Categories of Errors
4 Programming and Implementation Issues
5 Design Cases
6 Conclusions
References
All Work and No Play – Game-Based vs. Text-Based Learning in IT-Security
1 Introduction
2 Goals and Methodology
2.1 Research Goals and Study Design
2.2 Teaching Approaches in Comparison
3 Outcomes
3.1 Participants
3.2 Analysis of Participant Preferences and Self-assessment
3.3 Comparison Group G and Group T
3.4 Comparison Between Technical and Non-technical Scientific Disciplines.
4 Discussion
5 Conclusions
References
Information Technology in the Pedagogical Training of Pop Vocalists at the University
1 Introduction
2 Theoretical and Methodological Basis
3 An Experiment on the Implementation of Information Technology in the Educational Process of Future Pop Vocalists at the Pedagogical University
3.1 Organizational Basis of the Experiment
3.2 The Search Stage of the Experiment
3.3 Diagnostics of the Methodological Awareness of Future Pop Vocal Teachers Regarding Electronic Educational Resources
4 Key Findings
References
E-Learning Tools and Resources in an Interactive Environment for Staff Working in Criminal Correctional Justice System
1 Introduction
2 Background Literature
3 Method
4 The Platform and Mentoring System
5 Conclusions
References
Learning Analytics to Identify the Socio-affective Scenarios in a Virtual Learning Environment
1 Introduction
2 The ROODA Virtual Learning Environment: A focus on Affective and Social Maps
3 Learning Analytics
4 Methodology
5 The Obtained Results
6 Conclusions
References
Smart University
A New Approach to Enhance the Strategic Impact of Digital Education in Universities and to Foster the Development of a High Performing Common EU Smart Education Ecosystem
1 Introduction
2 Organizational Advantages and Issues of Digital Educational Programs – Focus on Universities vs Professors’ Relationship
3 Changes in the Organizational Structure and in the Logistic as Consequence of Digital Education Programs
4 The EDU-GATE Smart Initiative
5 An Innovative Smart Approach to Address Students with Special Needs
6 Learning Contents, Classroom Guidelines and Skills Assessment Tools
7 Conclusions
References
Smart University: Digital Development Projects Based on Big Data
1 Introduction and Literature Review
1.1 Smart University and Big Data
1.2 Project Management at a Smart University Based on Industry 4.0 Technologies
1.3 Research Problem
2 Analysis of the Need for Develop the Information Infrastructure for SmU Project Management
2.1 Big Data Analysis in Smart University
2.2 Big Data Benefits in Project Management of Smart University
2.3 Results of the Information Support Analysis for Project Management in Smart Universities
3 Conceptual Models for Supporting the Project Management System in Smart University
3.1 Models for the Formation of a Projects Portfolio in Smart University
3.2 The Choice of Smart University Project
4 Methodology for Evaluating the Effectiveness of University Management Based on Big Data
5 Conclusion and Next Steps
References
Technology and Accommodations at University Centers for Students with Disabilities
1 Introduction
1.1 Student Support Centers
1.2 Technology for Students with Disabilities
2 Previous Work and Research Project Goal and Objectives
3 Research Project Outcomes
3.1 University Centers for Students with Disabilities Analyzed and Classified
4 Survey Answers
5 Discussion
5.1 New Tendency
5.2 The Most Actively Used Technology
5.3 The Least Used Technology
5.4 Numbers of Students Served
5.5 Student Access
6 Future Directions
References
University Students’ Use and Acceptance of Online Learning in the Period of COVID-19 Pandemic
1 Introduction
2 A Questionnaire for Students’ Evaluation of Teaching in the Context of the COVID-19 Pandemic Response
3 Results
3.1 Awareness of Ways of Teaching at the Time of the COVID-19 Pandemic Measures
3.2 Contact with Teachers and Classmates
3.3 Preferred form of Study Materials
3.4 Final Evaluation of Courses
3.5 Technical Aspects of Emergency Online Teaching
4 Discussion and Conclusion
References
Human Capital of a Smart University: Trajectories of Innovative Development
1 Introduction
2 Theory
3 Managing Human Capital for Education
3.1 Trajectory “work as Fashion”
3.2 The “Work is Work” Trajectory
3.3 The “Battle of the Talents” Trajectory
3.4 Trajectory “The Main Target”
4 Our Results
4.1 The Algorithm for HR Policy in a Smart University
4.2 New Trends for Human Capital Development: “Diversity Bonus” Approach
4.3 Simulation for Modern Human Capital Trends at Smart University
4.4 Modeling the Innovative Needs of Human Capacity Management in a Smart Higher Education Institution
5 Modeling the Management of Human Capital Development Processes in the Human Resources Service
6 Conclusions and Future Steps
References
Accelerating Transparency and Efficiency in the Public Procurement Sector for a Smarter Society: eNotification and ESPD Integration for Developing E-procurement
1 Introduction
2 Impact of Digital Transformation on the Public Procurement
3 Evolving the National e-procurement Architectures
4 Standard Forms and Interactions with the Actual Infrastructures
5 A Smarter Innovative Approach to the Digitalization of Procurement Services
6 E-procurement Culture, Transparency, and Digital Learning Initiatives
7 Conclusions
References
Conceptual Model of Controlling Risks of Smart University Core Activities
1 Introduction
2 Statement of the Problem in General Form and Its Connection with Important Scientific and Practical Tasks
3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
3.1 Risk Classification of the Core Business of a Smart University
3.2 Conceptual Model of Risk Controlling for the Core Business of a Smart University and Technology for Its Phased Implementation
4 Conclusions of the Research and Prospects for Further Research in this Direction
References
Smart Education: Systems and Technology
Supporting Peer-Learning with Augmented Reality in Neuroscience and Medical Education
1 Introduction
2 Pedagogies for Use of AR in Education
3 An Educational AR Tool for Neuroscience and Medical Education
4 AR-Based Peer-Learning with HoloLens 2 and Android Devices
5 Evaluation of the Nevrolens App
5.1 User Evaluation
5.2 Peer Learning
6 Discussion and Future Work
References
Software Tools for Creating Digital Storytelling
1 Introduction
2 Research Problem
3 Research Questions
4 Research Design
5 Research Results
5.1 Software Programs and Applications for DST Creation
5.2 Survey Results
5.3 Questionnaire Survey Results
6 Conclusion
References
Academic Term Search Support System for Beginners in Inquiry-Based Learning
1 Introduction
2 Related Works
3 Ranking Algorithm
3.1 Document Classification Based Ranking Algorithm
3.2 Wikipedia Reference Graph Based Ranking Algorithm
3.3 Integrated Algorithm
4 Experimental Evaluations
4.1 Research Questions
4.2 Experimental Setting
4.3 Results
4.4 Error Analysis
5 Conclusions
References
Building an Internal Control System for the Purposes of Managing the Activities of the Smart University
1 Introduction
2 Statement of the Problem in General Form and Its Connection with Important Scientific and Practical Tasks
3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
3.1 Basic Internal Control Procedures for the Purpose of Managing the Activities of a Smart University
3.2 The Concept of Building an Internal Control System for the Purposes of Managing the Activities of a Smart University
4 Conclusions of the Research and Prospects for Further Research in this Direction
References
WeCheat:Algorithm for e-Learning Smart Cheating Detection Using Mean-Shift Clustering
1 Introduction
2 Literature Review
2.1 Automatic Cheating Detection Systems
2.2 Limitations of Related Work
3 Materials and Methods
3.1 Problem Formulation
3.2 Data Collection
3.3 Data Pre-processing
3.4 Analytical Modelling
3.5 Why We Apply Mean-Shift?
4 Experimental Results
4.1 Data Collection
4.2 Bandwidth Comparison
4.3 Analysis Per Course
4.4 Analysis Per Cluster
4.5 Baseline Comparison
5 Conclusions and Future Work
References
Music and Computer Technologies in Learning Musical and Theoretical Disciplines by Pupils
1 Introduction
2 Theoretical Foundations of the Issue of Using Musical-Computer Technologies in the Process of Mastering Musical-Theoretical Disciplines by Schoolchildren
3 An Experiment on the Use of Musical-Computer Technologies in the Process of Mastering Musical-Theoretical Disciplines by Junior Schoolchildren
3.1 Organizational Foundations of the Experiment
3.2 The Search Stage of the Experiment
3.3 Control Stage of the Experiment. Experimental Results
4 Discussion
5 Key Findings
6 Research Prospects
References
Digital Humanities and Social Sciences for Smart University Development: the Innovative Methods, Models and Technologies
Digital Humanities and Smart Pedagogy for Managing Intellectual Development in Higher Education
1 Introduction
2 Innovation Management for Higher Education: Theory and Modern Trends
3 Our Results
3.1 Digital Humanities for SmP: E-learning Monitoring
3.2 SmP for Innovative Activity and Knowledge Export at Smart University
3.3 Going up to International Educational Market: SmP, IT, CLIL and Knowledge Transfer
4 Conclusions and Trends
References
Educational Ecosystem and Government Relations Based on the Company’s Intellectual Capital
1 Introduction
2 Literary Review
3 System Analysis of Intellectual Capital in LEco + Government Relations
4 Information and Mathematical Analysis of Intellectual Capital in LEco + Government Relations
4.1 Models for Accounting for Joint Actions
4.2 Russian Educational System and the Accumulation of Intellectual Capital
5 Conclusion
References
Risk Controlling Toolkit at Smart University
1 Introduction
2 Statement of the Problem in General Form and Its Connection with Important Scientific and Practical Tasks
3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
3.1 Preventive Risk Controlling Procedures at Smart University
3.2 Operational Risk Controlling Procedures at the Smart University
3.3 Risk Controlling Algorithm for Smart University Activities
4 Conclusions of the Research and Prospects for Further Research in This Direction
References
Digital Tools for Smart Pedagogy, Text Analysis and Linguistics: Methodology, Trends and Prospects
1 Introduction
2 Theory, Project Goal and Objectives
3 Text Analysis Methodology
4 Main Research Results
4.1 Statistical Analysis of the Use of Digitalization Tools in Linguistics
4.2 Strategies for Effective Semantic and Linguistic Research
4.3 Assessment of Linguistic Analysis Competence with SmP Tools
5 Conclusions and Further Prospects for the Practical Application of the Study
References
Digital Literacy Skills of Translators: Innovative Methods and Trends in Training
1 Introduction
1.1 Purpose and Objectives of the Study
2 Theoretical Research Base
2.1 Literature Review
2.2 Methodology
3 Providing Skills for Digital Literacy of Translators
3.1 Translator’s Digital Tools
3.2 A Primary Survey on the Digital Translator’s Tools Among Students
3.3 Specifics of Teaching Translation with Digital Tools’ Application
3.4 A Final Survey on the Digital Translator’s Tools Among Students
4 Conclusions and Further Prospects for the Practical Application of the Study
References
Methodology for Linguistic Education at Digital Age: Case Study for Regional Universities
1 Introduction
2 Theoretical Research Base
2.1 Literature Review
2.2 The Linguist’s Methodological Competence: Concept and Model
2.3 Methodology: Methods and Levels of Knowledge
3 Our Results. Simulation for Methodological Knowledge and Skills
3.1 The Linguistic Tasks to Build Knowledge and Skills of the Philosophical Level of Methodological Culture
3.2 Simulation of Linguistic Tasks: Knowledge and Skills for General Scientific Level of Methodological Culture
3.3 Simulation of Linguistic Tasks: Knowledge and Skills for Pedagogical Level of Methodological Culture
4 The Pedagogical Experiments
5 Conclusions and Further Prospects for the Practical Application of the Study
References
Digital Transformation of Education and Economics in Smart University
Temporal Logic Usage in Control and Planning Models of Smart Systems
1 Introduction. Temporal Logic
2 Problem Statement
3 Main Results
3.1 Quasi – System Concept
3.2 System State Concept
3.3 Quasi - Fractal Scenario of System Development
3.4 Equivalent Actions to Achieve the Result of Quasi-Fractal System
3.5 Risk Analysis of Smart Planning Systems
3.6 Risk Analysis of Smart Control Systems
4 Conclusions. Future Steps
References
Modeling the Adaptive Stability and Competitiveness of the University During Digital Changes
1 Introduction
2 Literary Review
3 Competency-Based Vocational Education
3.1 The Russian Conceptual Model of Competence
3.2 The Model of Competency Indicators
4 Adaptive and Intelligent Web Learning Technologies and Their Use
4.1 The Info-Logical Model of Adaptive Learning System
4.2 The Adaptive Training: Adaptive Solution Tree Building Procedure
4.3 The Adaptive Training: System Example
4.4 The Computer Adaptive Training: System Example
4.5 The Web Learning Technologies: System Examples
5 Conclusions
References
The Lean Production Concept and Standardization for Risk Management at University: Simulation and Trends
1 Introduction
1.1 The Problem Statement
1.2 The Purpose and the Tasks
2 Theory and Literature Review
3 Our Results
3.1 International Standard ISO 31000-2018: Requirements and Simulation
3.2 The Risk Model for Smart Universities
3.3 Risks Level Model
3.4 Expert Assessment of Weighted Risk Events and Their Causes in the Strategic Development of the University
4 Mathematical Model of Strategic Development Risk Management
5 Conclusion
References
Mechanisms of Temporal Quasi - Fractal Logic in Smart Systems
1 Introduction: Temporal Logic
2 Problem Statement
3 Main Results
3.1 Operator QF
3.2 Logic in Terms of Different Algebraic Systems
3.3 P– Purities (Predicate Purities, Ershov’s Purities) in the Class of Algebras of Finite Signature with Finite Operations
3.4 Interpretation of Distance of Boolean Ring Corresponding to Complete Boolean Algebra with Time’s Operator and Fixed – Point Theorem
4 Conclusions. Future Steps
References
Smart University’s Risk-Resilience Modeling
1 Introduction
2 Literary Review
3 System-Synergistic Analysis of University Risk Situations and Sustainability
3.1 University System Risks
3.2 University System Manageability and Risk Management
4 Formal-Mathematical Modeling of University Risk-Resistance
4.1 University System Risk Accounting and Assessment
4.2 Formal and Mathematical Aspects of University Sustainability
5 Project Outcomes
References
Smart Education for Children with Special Educational Needs
Response Time for Contour Detection and Reading in Children and Adolescents with Autism Spectrum Disorder
1 Introduction
2 Methods
2.1 Participants
2.2 Stimuli and Procedure
2.3 Results
3 Discussion
References
Parents’ Evaluation of Interaction Between Robots and Children with Neurodevelopmental Disorders
1 Introduction
2 Materials and Method
2.1 Participants
2.2 Procedure
3 Results
4 Discussion
5 Conclusion
References
Mobile Application Prototype of Pumpelina Training and Therapeutic System (PTES)
1 Introduction
2 Background and Related Work
3 Pumpelina Training and Therapeutic System (PTES)
3.1 Range “First Year”
3.2 Range “Second Year”
3.3 Range “Second to Third Year”
3.4 Range “Third to Sixth Age”
3.5 Specialized Therapeutic Range
3.6 Examination
3.7 Results
4 Prototype of Digital Version of PTES И PTESS
5 Conclusions and Discussion
References
Parental Attitudes Towards Online Learning - Data from Four Countries
1 Introduction
1.1 Greece and the Effect of Covid-19 on Education
1.2 Cyprus and the Effect of Covid-19 on Education
1.3 Libya and the Effect of Covid-19 on Education
1.4 Bulgaria and the Effect of Covid-19 on Education
2 Materials and Method
3 Results
4 Discussion
5 Conclusions
References
Application of Online Fidelity Assessment of Caregivers Skills in the Implementation of Home-Administered Parent-Mediated Program for Children with ASD
1 Introduction
2 Conceptual Framework, Structure and Aims of the Program
3 Fidelity Assessment of the Application of the Program
4 Rated Items and Results
5 Conclusions
References
Digital Storytelling Tool for Developing Everyday Skills in Children with Special Educational Needs
1 Introduction
2 Background and Work Related to ICT in Special Education
2.1 Utilization of ICT in Health Education of Children with Special Needs
2.2 Use of the Digital Storytelling Tool in Special Education
3 Methodology
4 Tool Development
5 Results
6 Conclusions
References
Author Index
📜 SIMILAR VOLUMES
<span>This book contains the contributions presented at the 10th international KES conference on Smart Education and e-Learning (SEEL-2023) with the Smart University as the main conference theme. The conference is being held on June 14-16, 2023 in Rome, Italy in both in-person and online modes. The
<p><p>This book contains the contributions presented at the 2<sup>nd</sup> international KES conference on Smart Education and Smart e-Learning, which took place in Sorrento, Italy, June 17-19, 2015. It contains a total of 45 peer-reviewed book chapters that are grouped into several parts: Part 1 -
<p><span>This book is concerned with the systemic examination of the prospects for the development of smart agriculture for sustainable development. This book substantiates the top-priority significance of smart innovation in agriculture for modern economic and ecological systems. The book not only
<p><p>The focus on smart education has become a new trend in the global educational field. Some countries have already developed smart education systems and there is increasing pressure coming from business and tech communities to continue this development. Simultaneously, there are only fragmented