The Role of Sustainability and Artificial Intelligence in Education Improvement

Dr. Joanna Rosak-Szyrocka Assistant Professor, Erasmus+ coordinator at the Faculty of Management, Czestochowa University of Technology, Poland. She specialized in the fields of digitalization, industry 5.0, quality 4.0, education, IoT, AI, and quality management. She completed a research internship at the University of Żilina, Slovakia, and at Silesia University of Technology, Poland. Participant in multiple Erasmus+ teacher mobility programs: Italy, UK, Slovenia, Hungary, Czech Republic, Slovakia, and France. She held a series of lectures on Quality Management at universities in countries such as Great Britain, the Czech Republic, Slovakia, Slovenia, France, Hungary, and Italy. She cooperates with many universities both in the country (University of Szczecin, Rzeszów University of Technology, Silesian University of Technology), and abroad (including the University of Tabuk, Saudi Arabia; Széchenyi István University, Hungary; University Faisalabad, Pakistan; University of Humanities, China, University of Technology Sydney, Australia; Bucharest University of Economic Studies, Romania; and Federal University Dutse, Nigeria). Editorial Board: Plos One Journal, PeerJ Journal, and IJQR Journal (ISSN 1800-6450). Reviewer Board: IJERPH MdPI (ISSN 1660-4601) IF: 4.614. Associate Editor for Cogent Business and Management, Taylor & Francis (ISSN: 2331-1975). Guest Editor of: Resources MdPI, IJERPH MdPI, Energies MdPI, Sustainability MdPI, Springer Discover Sustainability Journal, Frontiers Journal, and Elsevier Measurement Journal. Reviewer for a number of prestigious journals like IEEE, Elsevier, MdPI, Frontiers, Sage, and Emerald. Justyna Żywiołek is an Assistant Professor, Department of Production Engineering and Safety, Faculty of Management, Częstochowa University of Technology. Anand Nayyar is an Assistant Professor, School of Computer Science, Duy Tan University, Da Nang, Viet Nam. He is currently working in wireless sensor networks, MANETS, swarm intelligence, cloud computing, internet of things, blockchain, machine learning, deep learning, cyber security, network simulation, and wireless communications. He has published more than 350 research papers in various national and international conferences and journals. Dr. Mohd Naved is a distinguished Associate Professor with an impressive career spanning over 16 years in the fields of Business Analytics, Data Science, and Artificial Intelligence. As an educator, Dr. Naved has consistently demonstrated a commitment to the highest standards of teaching and mentoring, ensuring that his students receive an education that is both cutting-edge and grounded in real-world experience. His dedication to helping students achieve their full potential extends beyond the classroom, as he has been an active participant in the university's Mentor-Mentee Program, providing guidance and support to over 150 undergraduate and postgraduate students. In addition to his teaching prowess, Dr. Naved has excelled in the areas of education management, research, and curriculum development.

1. Hybrid Learning in HEI – Pathway, Implementation and Challenges. 2. The Psychological Effects of COVID-19 on College Students Due to Digital Divide via Online Education. 3. Investigation of Student’s Intention and Related Determinants for E-Learning Continuance in Education after COVID-19. 4. Education 4.0 And Web 3.0 Technologies Application for Enhancement of Distance Learning Management Systems in Post COVID-19 Era. 5. Undergraduates Perception Towards E-Learning During the Pandemic: Evidence from State Universities in Sri Lanka. 6. Online Teaching Sustainability and Strategies During the COVID-19 Epidemic. 7. Inclusiveness and Sustainability of Teaching and Learning Technologies Amidst the COVID-19 Pandemic in Higher Education: An Indian Perspective. 8. Framework to Integrate Education 4.0 to Enhance E-Learning Model for Industry 4.0 And Society 5.0. 9. Towards Digital Equity: Reimagining Digital Learning Through the Lens of Bloom's Taxonomy. 10. The Empirical Investigation of Artificial intelligence Towards Enhancing the Learner–Instructor Interaction Towards Online Learning using Multiple Regression Analysis. 11. Effect of Digital Competence and Pedagogies on Gender Orientation of Pedagogue: A Quantitative Study with Regression Modeling of Higher Education Institutions. 12. AI in Sustainable Education: Benefits, Applications, Framework and Potential Barriers.