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)

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 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.