Blockchain and AI in Shaping the Modern Education SystemКНИГИ » ПРОГРАММИНГ
Название: Blockchain and AI in Shaping the Modern Education System Автор: Randhir Kumar, Prabhat Kumar, Sobin C.C., N.P. Subheesh Издательство: CRC Press Год: 2025 Страниц: 278 Язык: английский Формат: epub (true) Размер: 11.2 MB
In today’s rapidly evolving digital landscape, blockchain and Artificial Intelligence (AI) are at the forefront of transforming various industries, and education is no exception. The convergence of these two revolutionary technologies promises to reshape the modern education system by enhancing data security, promoting personalized learning, and creating decentralized frameworks for record-keeping and credentialing. This book delves into how blockchain and AI can drive a more inclusive, efficient, and secure educational ecosystem, where student-centered approaches and data integrity are paramount.
This book is organized into several sections, each exploring the distinct roles of blockchain and AI within education. It begins with an introduction to the fundamental principles of these technologies and an overview of their individual strengths. Following this, chapters examine blockchain’s role in secure credential verification, decentralized learning platforms, and the protection of digital records. Next, the discussion shifts to AI applications, covering adaptive learning models, predictive analytics, and AI-driven administrative support. Finally, the book provides real-world case studies and future projections on how blockchain and AI together can tackle challenges in education, such as data privacy, resource distribution, and student engagement, ultimately creating an interconnected and resilient educational framework.
Deep Learning is a specialized area within Machine Learning that specifically concentrates on training neural networks with numerous layers, sometimes known as deep architectures. The term “deep” in Deep Learning does not imply a higher level of comprehension obtained by the approach. Instead, it signifies the concept of multiple layers of representations. Its models contain numerous hidden layers stacked between the input and output. Each layer transforms the data, extracting increasingly abstract features through intricate non-linear operations. This layered architecture empowers Deep Learning to uncover complex relationships within data, especially when dealing with large datasets and intricate patterns. While powerful, Deep Learning models are typically more computationally expensive to train and can be less interpretable due to their complexity. Whereas, there are methods that deal with 1 or 2 layers commonly known as shallow learning.
Artificial neural networks (ANNs) have been a fundamental component of Machine Learning for a significant period. However, when it comes to very complex tasks, they frequently fail to meet the expectations. Deep Learning architectures are utilized in these kinds of scenarios. Deep Learning is an extension of artificial neural networks (ANNs) that utilize a stacked structure of numerous hidden layers. Consider the collaboration of multiple layers of neurons, comparable to the arrangement of building bricks. Every layer progressively pulls more complex information from the data. Deep Learning models can now address problems that were previously impossible for typical ANNs. For instance, consider the concept of image recognition. A shallow artificial neural network may encounter difficulty in distinguishing between a dog and a cat. However, a Deep Learning architecture such as a convolutional neural network (CNN) can examine edges, forms, and textures, resulting in more precise categorizations. The necessity for Deep Learning arises due to the continuously increasing complexity of data. Deep Learning algorithms are highly proficient in identifying patterns in large datasets, ranging from facial recognition to natural language processing (NLP).
This book is designed for educators, administrators, policymakers, technology enthusiasts, and researchers who are interested in the transformative potential of emerging technologies in education. It serves as a comprehensive guide for those looking to understand the practical applications and implications of blockchain and AI in the modern education system.
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Blockchain and AI in Shaping the Modern Education System 
