The Role of Sustainability and Artificial Intelligence in Education Improvement


Book Description

This book is devoted to the issues faced by universities in the field of distance learning during and after COVID, as well as in digitalization times. The book devotes a lot of space to the issues of Web 3.0 in university e-learning, Industry 4.0, artificial intelligence and digital equity. The aim and scope of this book is to draw a holistic picture of education before and after COVID, the psychological effects of COVID in education, and using modern technologies application in education, taking into consideration aspects of sustainability development, Industry 4.0 and Society 5.0. The authors also raise the issue of artificial intelligence investigation in learner-instructor interaction. Features: • To elaborate the functions of online education and numerous pedagogical strategies based on electronic learning to aid teachers and students with the tools required to succeed in the 21st century via engaging virtual experiences • To analyze tools provided by Ed-Tech firms and the effect of digital tools on maintaining the educational process in times of crisis and after pandemic • To create a roadmap for higher education institutions and provide tips regarding how to improve the effectiveness of the hybrid learning system • To understand e-learning characteristic in the era of Industry 4.0 and Society 5.0 and characteristics of the different web generations • To use AI applications to improve connections and relationships between students and teachers and in education in the future The book is both scientific and educational. It can be used at the university level and by anyone interested in the topics it covers.




AI and education


Book Description

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]




Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches


Book Description

In the modern era of research, the significance of transdisciplinary and multidisciplinary approaches in enhancing higher education learning outcomes cannot be overlooked. These approaches break down traditional academic silos, fostering a more holistic and interconnected understanding of complex problems. By integrating diverse perspectives and methodologies, they promote critical thinking, creativity, and innovation among students. Educators and institutions must embrace and implement transdisciplinary teaching and technological integration to prepare students for the demands of the future and drive meaningful advancements in education. Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches embodies a commitment to these approaches, incorporating three cyclical activities—research, participation, and action—that collaboratively seek answers to practical questions through features of participatory and situational research. The book explores problem identification, action planning, observation collection, and behavioral data analysis. Covering topics such as artificial intelligence tools, higher education institutions, and university student satisfaction, this book is an excellent resource for higher education faculty, academic administrators, curriculum developers, educational technology specialists, researchers, and more.




Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies


Book Description

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. - Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment - Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum - Addresses the advanced field of renewable generation, from research, impact and idea development of new applications




ARTIFICIAL INTELLIGENCE (AI) AND BUSINESS


Book Description

The present book on ‘Artificial Intelligence (AI) and Business’ presents the current trends of artificial intelligence. The book includes the research papers of various researchers from various disciplines. It has become necessary to understand the various trends of artificial intelligence to attain success in dynamic environment. Business people should analyze the favourable and unfavourable effects of these trends while framing the business strategy. I hope this book will be purposeful for the students, managers and researchers in the area of business management.




Artificial Intelligence in Healthcare


Book Description

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data




Integrating Generative AI in Education to Achieve Sustainable Development Goals


Book Description

A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI’s rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.




Sustainability in Higher Education


Book Description

Support in higher education is an emerging area of great interest to professors, researchers and students in academic institutions. Sustainability in Higher Education provides discussions on the exchange of information between different aspects of sustainability in higher education. This book includes chapter contributions from authors who have provided case studies on various areas of education for sustainability. - Focus on sustainability - Present studies in aspects related with higher education - Explores a variety of educational aspects from an sustainable perspective




Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship


Book Description

Businesses must confront a pressing challenge—how to navigate the turbulent seas of market dynamics and technological advancements. As traditional business models face obsolescence in the wake of relentless innovation, enterprises failing to quickly to harness the power of advanced technologies risk fading into obscurity. This predicament sets the stage for a critical exploration of the profound impact of artificial intelligence (AI) and smart technology on the sustainability of entrepreneurial ventures. Without a strategic embrace of these innovations, businesses find themselves adrift, struggling to cope with the demands of a rapidly evolving market. Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship serves as a guide for entrepreneurs seeking to thrive in this era of unprecedented change. Readers begin with a deep dive into the challenges faced by contemporary businesses. This book meticulously dissects these challenges and provides guidance for those ready to chart a course toward sustainable success by leveraging the transformative and compelling aptitudes of AI. The proposed solution of the integration of AI and smart technologies into the business landscape is one of great promise.




Artificial Intelligence, Medical Engineering and Education


Book Description

Artificial Intelligence (AI) is a rapidly developing field of computer science which now plays an increasingly important role in many disciplines. A catalyst for significant change, research into AI is of particular importance in fields such as medicine and education, and as such has become an area to watch for many people worldwide. This book presents the proceedings of AIMEE 2023, the 7th International Conference on Artificial Intelligence, Medical Engineering and Education, held on 9 and 10 November 2023 in Guangzhou, China. The conference brought together top international researchers from around the world to exchange research results and address open issues in AI, medical engineering and education. A total of 238 submissions were received for AIMEE 2023, of which 89 papers were selected for presentation and publication after a rigorous international peer review process. The book is divided into 3 sections, covering artificial intelligence and scientific methodology; systems engineering and analysis: concepts, methods, and applications; and education reform and innovation. Presenting papers which explore and discuss many novel concepts and methodologies contributing to the rapid evolution of artificial intelligence and its applications, the book will be of interest to all those working in the relevant fields.