This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms.
This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Shashi Kant Gupta is presently working as an Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur. He is also the founder and CEO of CREP PVT. LTD., Lucknow. He is a member of Spectrum IEEE and other international organizations for research activities. He has published many research papers in reputed international journals, SCOPUS and SCI indexed journals. His research focuses on performance enhancement through Cloud computing, Big Data Analytics, IoT and Computational Intelligence-based Education. He is currently working as a reviewer in various international journals like BJIT. He has published many Indian patents in the field of information technology, computer science and management. One Indian patent is under grant approval. He has more than 10 years of teaching experience and 2 years of Industrial experience. Joanna Rosak Szyrocka is an Assistant Professor in the Department of Production Engineering and Safety, Faculty of Management, Cz¿stochowa University of Technology. She is the author/co-author of 221 scientific publications in prestigious journals, co-author of 20 scientific monographs and author of 2 scientific monographs. She is a reviewer for a number of prestigious Journals such as IEEE ACCESS, TQM ELSEVIER, Energies MDPI, IJERPH MDPI, Healthcare MDPI, Renewable Energy ELSEVIER, Resources Policy Elsevier, Frontiers, SAGE, Sustainability MDPI, Education Sciences MDPI, Social Sciences MDPI, Applied Sciences. She is the Vice President of Qualitas Foundation, dealing with the promotion of good business practices. She is also a member of the Polish ISO 9000 Forum Club.
Inhaltsangabe
1. An empirical analysis of the impact of information technology in the education system. 2. Prediction of students' performance in university 4.0 using novel AI algorithm with Whale Optimization. 3. Management of higher education based on Information technology in the University 4.0 era. 4. Implementation of University 4.0 based on Artificial Intelligence technology. 5. The application of artificial intelligence and information technology for automated education system in University 4.0. 6. University 4.0 challenges and potential for university adaptation to sustainability education. 7. Innovation and development of educational system based on advanced AI technique and information technology. 8. Integration of AI and information technology management system for enhancing education system. 9. A competency model for higher education system using AI-based information management system. 10. Optimization of information technology management system towards University 4.0. 11. Behavioral analysis of the students using the Information management system based on AI. 12. Management of the adoption of information technology in teaching method development in the University 4.0 era. 13. Enhancing security in the university 4.0 education system using novel authentication schemes. 14. Transformation of education system in the University 4.0 era using AI technology. 15. Maintenance of student information based on AI algorithm for future education system. 16. Novel techniques for the adoption of Artificial intelligence in the University 4.0 era. 17: Innovation in the University 4.0 system based on information technology and Artificial intelligence technology. 18: Advanced optimization techniques for artificial intelligence in the reform of future education system.
1. An empirical analysis of the impact of information technology in the education system. 2. Prediction of students' performance in university 4.0 using novel AI algorithm with Whale Optimization. 3. Management of higher education based on Information technology in the University 4.0 era. 4. Implementation of University 4.0 based on Artificial Intelligence technology. 5. The application of artificial intelligence and information technology for automated education system in University 4.0. 6. University 4.0 challenges and potential for university adaptation to sustainability education. 7. Innovation and development of educational system based on advanced AI technique and information technology. 8. Integration of AI and information technology management system for enhancing education system. 9. A competency model for higher education system using AI-based information management system. 10. Optimization of information technology management system towards University 4.0. 11. Behavioral analysis of the students using the Information management system based on AI. 12. Management of the adoption of information technology in teaching method development in the University 4.0 era. 13. Enhancing security in the university 4.0 education system using novel authentication schemes. 14. Transformation of education system in the University 4.0 era using AI technology. 15. Maintenance of student information based on AI algorithm for future education system. 16. Novel techniques for the adoption of Artificial intelligence in the University 4.0 era. 17: Innovation in the University 4.0 system based on information technology and Artificial intelligence technology. 18: Advanced optimization techniques for artificial intelligence in the reform of future education system.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
