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 Название: Advancements in Artificial Intelligence Blockchain Technology and IoT in Higher Education
Автор: Subhendu K. Pani, Kamalakanta Muduli, Srikanth Bathula
Издательство: Apple Academic Press/CRC Press
Серия: AAP Advances in Artificial Intelligence and Robotics
Год: 2023
Страниц: 347
Язык: английский
Формат: pdf (true)
Размер: 10.4 MB
Researchers are exploring Artificial Intelligence (AI) in optimally imparting teaching-learning. AI has already found tremendous potential for sectors such as manufacturing, finance, transportation, healthcare, urban and rural planning, and education. One such technology, the Internet of Things (IoT), has been widely adopted in many fields. IoT is an innovative solution that connects objects, machines, and systems with the internet to communicate and share information. Major areas for exploring further IoT use in the education sector are also highlighted in this book.
Artificial Intelligence (AI) is a rapidly developing technological area with the potential to transform every aspect of our social lives. In the field of education, AI has started to develop innovative teaching and learning solutions that are currently being tested in a variety of settings. Education should know no boundaries, and AI can help to break them down. Technology makes it possible to study any course from anywhere in the world at any time, which has resulted in drastic changes. Students learn basic IT skills through AI-assisted education. With further advancements, a wider range of courses will be available online, and thanks to AI, students will be able to learn from wherever they are. The current state of AI in higher education, as well as its significance, is also well discussed in this book. Artificial intelligence (AI), blockchain technology, and the internet of things (IoT) in extending higher education are so diversified that they cannot be covered in a single book.
Artificial Intelligence (AI) is a broad area of software engineering that aims to develop intelligent machines capable of performing tasks that would usually require human intelligence (HI). Though AI is an interdisciplinary application technique followed by different methods, Machine Learning (ML) and Deep Learning (DL) innovations are triggering a paradigm shift in nearly every industry.
Deep Learning (DL) has a substantial part of AI which also assists in the education system. It is principally associated with emotions that effectively manipulate the teacher and student emotions and help them in their learning and teaching proceedings. The AI makes the learning procedure easy for both teacher and student and provides a better approach to evaluate student competencies. The system of intelligent learning used ANN (artificial neural network). Input form of ANN for intelligent learning includes the number of the question, the difficulty level, the number of errors working on the question, the level of achievements, the number of questions worked.
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