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The Role Of Ai In Assessment : Revolutionizing Education Xinhui Xiong
The Role Of Ai In Assessment : Revolutionizing Education Xinhui Xiong

The Role Of Ai In Assessment : Revolutionizing Education Xinhui Xiong

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The Role of AI in AssessmentRevolutionizing Education\nAuthor(s): Xinhui Xiong, Mark D. Shermis, Jiawei Xiong\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Routledge\nISBN-13: 9781041028031, 978-1041028031\nSynopsis\nThe Role of AI in Assessment: Revolutionizing Education examines how artificial intelligence (AI) is transforming the evaluation of learning and addresses the urgent need for innovative assessment methodologies. It analyzes both the opportunities and the constraints of AI-driven assessment, responding to the growing demand for approaches that harness AI capabilities rigorously and responsibly.\n\nAdopting an interdisciplinary perspective, this book introduces foundational AI concepts, including reinforcement learning, neural networks, deep learning, and large language models, and makes these complex topics accessible to educators, researchers, and policymakers. Chapters on ethics, equity, and personalized learning provide a systematic .

The Role Of Ai In Assessment : Revolutionizing Education Xinhui Xiong

The Role of AI in AssessmentRevolutionizing Education\nAuthor(s): Xinhui Xiong, Mark D. Shermis, Jiawei Xiong\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Routledge\nISBN-13: 9781041028031, 978-1041028031\nSynopsis\nThe Role of AI in Assessment: Revolutionizing Education examines how artificial intelligence (AI) is transforming the evaluation of learning and addresses the urgent need for innovative assessment methodologies. It analyzes both the opportunities and the constraints of AI-driven assessment, responding to the growing demand for approaches that harness AI capabilities rigorously and responsibly.\n\nAdopting an interdisciplinary perspective, this book introduces foundational AI concepts, including reinforcement learning, neural networks, deep learning, and large language models, and makes these complex topics accessible to educators, researchers, and policymakers. Chapters on ethics, equity, and personalized learning provide a systematic .

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