
Smart Education and e-Learning - Smart Pedagogy
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Content
- Intro
- 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 ? 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
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