Learning Intelligence Innovative And Digital Transformative Learning Strategies
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Learning Intelligence: Innovative and Digital Transformative Learning Strategies
This book provides holistic guidance and proposes practical frameworks to navigate complex learning environments in the rapidly evolving climate, and an environment to facilitate effective learning and knowledge transfer, while advocating a shift in the learning culture, and culture of learning, in varying contexts. It serves well for varying and cross-disciplinary clusters of individuals, particularly for academics, senior management of higher education institutions, and senior leaders of corporate organizations. This book equips readers with a deeper understanding of the evolving and dynamic issues that need to be addressed in the higher education context; to handle multifaceted situations in the process of engaging University students to be nurtured as future global leaders and knowledge workers.
The Palgrave Handbook of Crisis Leadership in Higher Education
This handbook provides a frame of reference for the global challenges facing higher education leadership today. Focusing on recommendations and directions for the future rather than simply a recap of measures taken during the COVID-19 pandemic, the contributors also delve into contexts such as the climate crisis, issues of diversity, equity and inclusion, digitalisation, funding and marketisation, the war in Ukraine and China-Taiwan and Hong Kong tensions. They collate a systematic, global view of higher education systems during the pandemic and beyond, and explore possibilities for the future, providing recommendations for ‘the new normal’. With contributions from across six continents, the book will be of interest to students and scholars of higher education and governance, university leaders, government and accreditation bodies, and anyone else interested in reflecting on the past few years in higher education and the road ahead.
Shaping Cutting-Edge Technologies and Applications for Digital Banking and Financial Services
Cutting-edge technologies have recently shown great promise in a variety of activities for enhancing the existing services of a bank such as the improvement of transactions, ensuring that transactions are done correctly, and managing records of services of savings accounts, loan and mortgage services, wealth management, providing credit and debit cards, overdraft services and physical evidence as key drivers of bank ecosystem. In the financial world, emerging analytics and prediction tools can be used to analyze and visualize structured data, such as financial market data, and to forecast future trends that can be supported by leaders to make informed decisions about investment strategies. This book explores the importance of artificial intelligence (AI)-based predictive analytics tools in the financial services industry and their role in combating financial fraud. As fintech continues to revolutionize the financial landscape, it also brings forth new challenges, including sophisticated fraudulent activities. Therefore, this book shares the problem of enhancing fraud detection and prevention through the application of predictive analytics. This book contributes to a deeper understanding of the importance of predictive analytics in the finance field and its pivotal role in cybersecurity and combating fraud. It provides valuable insights for the financial services industry, researchers, and policymakers, aiming to fortify the security and resilience of financial systems in the face of evolving financial fraud challenges. Cuurently, AI has replaced recurrent intellectual decisions due to the availability of information and its access. These changes have created a revolution in financial operations resulting in environmental variations in the banking and finance sectors. Likewise, analytics transformed the not only finance field but also banking as it is increasing the transparency of lending-related activities. In addition, this book provides a set of tools for complex analyses of people-related data and through a variety of statistical analysis techniques ranging from simple descriptive statistics to machine learning, HR analytics enables performance evaluation and increases the transparency of finance transactions as well as the problems, advantages, and disadvantages of new digital transformation. The book is not merely a compilation of technical knowledge; it is a beacon of innovation that beckons readers to envision a future where cutting-edge technologies and finance services intertwine seamlessly. With its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of technology and embark on a collective mission to unlock the full potential of fintech for the betterment of humanity.