Innovation in the University 4. 0 System Based on Smart Technologies (en Inglés)
Reseña del libro "Innovation in the University 4. 0 System Based on Smart Technologies (en Inglés)"
Standard Blub: 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. - Presents an empirical analysis of the impact of information technology in the education system. - Discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization. - Elaborates the management of higher education based on information technology in the university 4.0 era. - Explains the implementation of university 4.0 based on artificial intelligence - Focuses on the transformation of education system using artificial intelligence. The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning. Seasonal Blurb: This reference text presents advanced research on transforming university education through artificial intelligence and analyzes the challenges that arise from an industry 4.0 perspective. It will discuss important topics such as application of artificial intelligence for automated education system, competency model for higher education system using artificial intelligence-based information management system, optimization of information technology management system towards university 4.0, etc. It will serve as an ideal reference text for graduate students, academic researchers, postgraduate students working in the field of computer science and engineering, machine learning, blockchain. Short Blurb: This text covers innovative research and novel techniques for the adoption of artificial intelligence in the University 4.0 era. It showcases advanced topics such as maintenance of student information through artificial intelligence algorithm, enhancing security through a novel authentication system, etc. Standard blurb The proposed book is designed as a reference text, and presents the genesis of e-learning and how the approach to this type of teaching has changed. The outbreak of the novel coronavirus (COVID-19) at the beginning of 2020 forced most higher education institutions to shift immediately from traditional learning to distance learning and emergency remote teaching (ERT). The book offers fresh insights into the specificity of distance learning in the times of pandemic and its effects in established working patterns. -The book examines the implications of COVID-19 on distance and online learning, discussing how the move to online teaching and learning modes proved to be a source of immense institutional, organizational, and educational challenges. -It contains chapters grounded in theoretical and methodological approaches pertinent to education and pedagogy, and explores the relevance of theory to the educational situation brought about by the pandemic. -The book highlights the specific issues and challenges that distance learning has to account for in crisis situations. -It discusses key topics like innovations and best practices in online learning, research, and management; developments in computer-supported collaborative learning, training, and research; the use of intelligent tutoring and mentoring systems in times of crisis; the role of university leadership and users' perceptions and attitudes to online teaching and learning, etc. The book is aimed primarily at advanced undergraduates and graduates studying computer science and information technology. Researchers and professionals will also find this book useful. Seasonal blurb The proposed book is designed as a reference text, and presents the genesis of e-learning and how the approach to this type of teaching has changed. The outbreak of the novel coronavirus (COVID-19) at the beginning of 2020 forced most higher education institutions to shift immediately from traditional learning to distance learning and emergency remote teaching (ERT). The book offers fresh insights into the specificity of distance learning in a pandemic and its effects in established working patterns. The book is aimed primarily at advanced undergraduates and graduates studying computer science and information technology. Researchers and professionals will also find this book useful.
