Smart Education and e-Learning―Smart University: Proceedings of the 10th International Conference on Smart Education and e-Learning (KES SEEL-2023) (Smart Innovation, Systems and Technologies, 355)

✍ Scribed by Vladimir L. Uskov (editor), Robert J. Howlett (editor), Lakhmi C. Jain (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 300
• Category: Library

✦ Synopsis

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 book contains high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart University, Part 4 – Smart Education: Case Studies and Research, and Part 5 – Smart Company: Case Studies and Research. Smart education, smart e-learning, smart universities and smart companies are emerging and rapidly growing areas with the potential to transform the existing teaching strategies, learning environments, and educational/training activities and technology in academic institutions and training centers. Smart education/training and smart e-learning are focused on enabling instructors/trainers to develop innovativeways of achieving excellence in teaching in highly technological smart classrooms/labs, and providing students/learners with new opportunities to maximize their success and select the best options for their education/training, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education, smart e-learning, smart university and smart business/company paradigms, concepts, systems and technology.

✦ Table of Contents

Preface
Contents
About the Editors
Part I Smart Education
1 Smart Education: Students’ Perception of Hybrid Learning in Graduate Computing Curriculum
1.1 Introduction. Hybrid Teaching and Learning
1.2 Literature Review: Quality of Learning Outcomes in Hybrid Courses Versus Traditional Face-to-Face and Online Courses
1.3 Project Goal and Objectives
1.4 Research Outcome #1: Proposed Organization of Hybrid Courses in Graduate Computing Curriculum
1.4.1 “Fundamentals of Software Engineering (FSE)” Graduate Course
1.4.2 “Software/Information Systems Development Project Management (SPM)” Graduate Course
1.5 Research Outcome #2: Student Feedback Obtained About Quality of Hybrid Courses in Graduate Computing Curriculum
1.5.1 Student Feedback About Pre-course Experience in Hybrid/Online Courses
1.5.2 Student Feedback About Hybrid Course Organization
1.5.3 Student Feedback About Overall Quality of Hybrid Course Taken
1.6 Research Outcome #3: Student Opinion About Hybrid Learning and Recommendations for Improvements
1.6.1 Student Post-course Opinion About Hybrid Courses in Graduate Computing Curriculum (in General)
1.6.2 Student Preferences and Recommendations for the CSIS Department in Terms of F2F, Hybrid and Totally Online Courses in Graduate Computing Curriculum
1.7 Hybrid Learning/Teaching and Main Features of Smart Education
1.8 Conclusions. Future Steps
References
2 Gaining Insight into Adoption of Immersive Technologies in Higher Education
2.1 Introduction
2.2 Adoption of Technologies for Education
2.3 Context of Immersive Tech at the University
2.4 Qualitative Study Methodology
2.4.1 Qualitative Study
2.4.2 Interview Script
2.5 Study Results
2.6 Discussion
2.7 Conclusion
References
3 Innovative Methods for Smart Education: Hybrid Approach
3.1 Introduction
3.1.1 Research Problem, Goals and Objectives
3.1.2 Hypothesis
3.2 Theory for Research
3.3 Our Results
3.3.1 The Crowdsourcing Model of EdTech and CLIL Integration Management in Higher Education Institutions
3.3.2 Simulation of the Innovative Development Trajectory for the University: CLIL Technology and the Export-Educational Activities of the University
3.4 Conclusions and Trends
References
4 Impact of Offline and Online Lecture Formats on Student Satisfaction with the University
4.1 Introduction
4.2 Related Work and Hypothesis Development
4.3 Method
4.4 Results and Implications
4.4.1 Results
4.4.2 Theoretical Implications
4.4.3 Practical Implications
4.4.4 Limitations and Future Work
References
5 Possibilities of Using Multimedia Technologies in the Learning Process for Children with Special Needs
5.1 Introduction
5.2 Multimedia Technologies in the Learning Process
5.2.1 Analysis of Related Research from the Technical and Pedagogical Side
5.2.2 Choice of Development Technology
5.3 System Development Process for Children with Special Needs
5.3.1 Analysis of the Interview of Special Pedagogues
5.3.2 Prototype Development
5.4 Survey Results
5.5 Conclusion and Future Work
References
Part II Smart e-Learning
6 Online Ed.D. Program Development: A Program Level Perspective
6.1 Introduction
6.2 Research Project Goals
6.3 Method
6.4 Research Project Outcomes
6.5 Survey Answers
6.6 Discussion
6.6.1 Access
6.6.2 Campus Connection
6.6.3 Communication
6.6.4 Advocacy
6.7 Future Directions
References
7 Using CAI to Provide Early Literacy Instruction for All Learners
7.1 Introduction
7.2 Literature Review
7.3 Research Goal
7.4 Research Methodology
7.4.1 Participants
7.4.2 Materials
7.4.3 Procedure
7.5 Research Outcomes
7.5.1 Baseline Equivalence Using Independent Samples t-tests
7.5.2 Post-test Group Differences Using Independent Samples t-tests
7.5.3 Post-test Group Differences Using ANOVAs
7.6 Discussion
7.7 Conclusions
7.8 Next Steps
References
8 Online Doctoral Faculty Engagement: Building Connections Through Authenticity
8.1 Introduction
8.2 Research Project Goals
8.3 Method
8.4 Research Project Outcomes
8.5 Survey Answers
8.6 Discussion
8.6.1 Being Live (Virtually)
8.6.2 Access
8.6.3 Development
8.6.4 Professional Responsibilities
8.6.5 Authentic Learning
8.7 Future Directions
References
9 Reliability Issues with At-Home Assessment During the COVID-19 Pandemic
9.1 Introduction
9.2 Literature Review
9.3 Research Goal
9.4 Research Methodology
9.4.1 Participants
9.4.2 Materials
9.4.3 Procedure
9.5 Research Outcomes
9.5.1 Group Differences Using Independent Samples t-tests.
9.5.2 Group Differences Using ANCOVA
9.5.3 Group Differences Using ANCOVA—Demographics
9.6 Discussion
9.7 Conclusions
9.8 Next Steps
References
10 Student Support in an Online Environment: Doctoral Student Feedback
10.1 Introduction
10.2 Research Project Goals
10.3 Method
10.4 Research Project Outcomes
10.5 Survey Answers
10.6 Discussion
10.6.1 Access
10.6.2 Interaction
10.6.3 Balance
10.7 Future Directions
References
Part III Smart University
11 Organizing the University 4.0: New Goals and Insights to Promote the Digital Transformation of Higher Education Institutions to Succeed Next E-learning Era
11.1 Introduction
11.2 Background and Related Work
11.3 Results and Discussion
11.4 EDU-GATE: Target Groups and Outcomes
11.5 Conclusions
References
12 Systematic Approach to Project Management at Smart University
12.1 Introduction
12.2 Statement of the Problem in General Form and Its Connection with Important Scientific and Practical Tasks
12.3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
12.3.1 Classification of Projects in the Activities of a Smart University
12.3.2 Development of a Model of a Systematic Approach to Project Management in a Smart University
12.4 Conclusions of the Research and Prospects for Further Research in this Direction
References
13 The Concept of New-Generation Lecturers for Smart Universities: Case Study and Trends
13.1 Introduction
13.1.1 The Problem of Research
13.1.2 The Purpose and Targets
13.2 Theory for Research
13.3 Research Hypothesis
13.4 Rationale for the Choice of the Basic Components for the Solution of the Tasks
13.5 Our Results
13.5.1 The Model for Managing New Knowledge Creation Processes Based on SCORM 2004
13.5.2 CLIL and EdTech Training for New-Generation Lecturers: The Algorithm
13.6 Conclusion and Trends
References
14 Organizational and Methodological Support of the Strategic Analysis of the Resource Potential of Smart University
14.1 Introduction
14.2 Statement of the Problem in General Form and its Connection with Important Scientific and Practical Tasks
14.3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
14.3.1 Organizational Basis for Strategic Analysis of the Resource Potential of a Smart University
14.3.2 Development of a Model of Methodological Support for the Strategic Analysis of the Resource Potential of a Smart University
14.4 Conclusions of the Research and Prospects for Further Research in this Direction
References
15 Decision-Making Training for Students and Managers Using Data Science and Smart Platforms
15.1 Introduction
15.2 Literature Review
15.3 Integration and Reliance on Data (Data Analytics) and “Soft Skills”
15.4 Model for the Evolution of HR Capabilities
15.5 Meeting Room Technology
15.6 Intellectualization and Reliance on Machine Learning
15.7 What is the Popularity of Managers and Their Need for Russia?
15.8 Conclusion
References
16 Algorithm for Strategic Management of Project Activities in Smart University
16.1 Introduction
16.2 Statement of the Problem in General Form and its Connection with Important Scientific and Practical Tasks
16.3 Presentation of the Main Research Material with Full Justification of the Obtained Scientific Results
16.3.1 Project Activity Strategies and Principles of Strategic Project Management in a Smart University
16.3.2 Allocation of Functions and Development of an Algorithm for the Strategic Management of Project Activities in a Smart University
16.4 Conclusions of the Research and Prospects for Further Research in this Direction
References
17 Ecosystems for Higher Education and Society
17.1 Introduction
17.2 Literature Review and Theory
17.3 Structure Analysis for Intellectual Capital in LEco
17.4 Our Results
17.4.1 Modeling Intellectual Capital Development Management Opportunities in LEco
17.4.2 Russian Educational System and the Accumulation of Intellectual Capital
17.5 Conclusion
References
Part IV Smart Education: Case Studies and Research
18 Mathematical Simulation for Quality Management in State System of Higher Education
18.1 Introduction
18.1.1 Problem Statement
18.1.2 Purpose and Tasks
18.1.3 Research Hypothesis
18.2 Basic Objective for the Experiment
18.2.1 Theoretical and Methodological Basis of the Study
18.3 Mathematical Simulation
18.4 Our Results
18.4.1 Quality Management Model for the University Graduates Competence
18.4.2 Experimental Processing of the Research Results
18.4.3 Model of Quality Management of Formed Competences
18.5 Conclusion
References
19 Quasi-Fractal Logic Usage in Risk Management Models of Smart Systems
19.1 Introduction: Background and Research Methodology
19.2 Problem Statement
19.3 Main Results
19.3.1 Main Notions and Definitions
19.3.2 Practice Application
19.4 Conclusions: Future Steps
References
20 Research and Simulation of Cryptocurrency Market as an Innovative Use Case for Emerging Smart Education
20.1 Introduction
20.2 Literary Review
20.3 Results
20.3.1 Blockchain and the Evolution of the Cryptocurrency Market
20.3.2 Cryptocurrency Market Species Diversity Model
20.3.3 Cryptocurrency Market Activity Model
20.3.4 Cryptocurrency Purchasing Power Model
20.4 Discussion
20.5 Conclusions
References
21 Literary Tourism: A Case Study
21.1 Introduction
21.2 Methodology
21.2.1 Research Sample
21.2.2 Didactic Scenario
21.3 Results and Discussions
21.3.1 Survey as a Starting Point
21.3.2 Main Points from Students’ Review
21.3.3 Academic Search Engines and Bibliographic Databases
21.3.4 Final Presenting of the Reviews
21.3.5 Future Focus
21.4 Conclusion
References
Part V Smart Business/Company: Case Studies and Research
22 A Model of Quality Management System for Digital Economy
22.1 Introduction and Theory Research
22.1.1 Problem Statement and Hypothesis
22.1.2 Research Issues
22.1.3 Purpose of the Study
22.2 Our Results
22.2.1 The Model of Quality Management System Structure in the Organization
22.2.2 Model for Integration of the Tangible and Non-tangible Assets
22.2.3 Modeling the Development Rate for the Digital Society in Russia
22.2.4 The Model for Quality Assessment of the Participants Network Interaction in Economic Processes
22.3 Conclusion
References
23 A Model for Business System Infrastructure’s Vulnerability Assessment
23.1 Introduction
23.1.1 The Problem of Research
23.1.2 Research Goal and Objectives
23.2 Literature Review
23.3 Research Methods
23.4 The Rationale for Information Security Profiles in Business Systems Infrastructure
23.5 Our Results
23.5.1 Sensitivity Assessment Model for Critical Information Infrastructure Components
23.5.2 Algorithm for Step-By-Step Skills Development for Information Protection Profiles
23.6 Conclusion
23.7 Future Trends
References
24 Marketing Research for Regional Development
24.1 Introduction
24.2 Literature Review
24.3 Our Research
24.3.1 Problem Statement
24.3.2 Research Issues
24.3.3 Purpose of the Study
24.4 Research Methods
24.5 Marketing for Education: Defining the Content
24.6 Our Results
24.6.1 Comparative Analysis of Engineering Market
24.6.2 Competitive Model for Technical Education: New Approach
24.7 Conclusion
24.8 Future Steps
References
25 Digital Technologies for Quality Management in Integrated Production
25.1 Introduction
25.2 Literature Review
25.3 Software for Quality Management: A Review
25.4 Ensuring the Life Cycle of Products by ISO Standards
25.5 IT for Product Quality: Simulation
25.6 Our Results
25.6.1 Standards for Integrated Production Systems: Analysis and Case Study
25.6.2 Information Security Profiles for Integrated Production Systems: Simulation
25.7 Conclusions
References
26 Innovative Marketing Strategy for Industry
26.1 Introduction
26.2 Literature Review
26.3 Problem Statement
26.3.1 Research Issues
26.3.2 Research Objective
26.3.3 Research Methods
26.4 Results
26.4.1 The PEST Analysis of the Organization's Activity
26.4.2 The SWOT Analysis for Staff Activity
26.4.3 Marketing Mix Model with Customer Focus
26.4.4 Internet Marketing Model and SEO
26.5 Conclusion
References
Author Index