Generative AI in Higher Education by Cecilia Ka Yuk Chan (.PDF)

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Generative AI in Higher Education: The ChatGPT Effect by Cecilia Ka Yuk Chan, Tom Colloton
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Overview: Chan and Colloton’s book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education. Since November 2022, every conversation in higher education has involved ChatGPT and its impact on all aspects of teaching and learning. The book explores the necessity of AI literacy tailored to professional contexts, assess the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delve into the transformation of assessment methods in the GenAI era. The authors introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework, encouraging a learner-centric assessment model. The necessity for well-crafted AI educational policies is explored, as well as a blueprint for policy formulation in academic institutions. Technical enthusiasts are catered to with a deep dive into the mechanics behind GenAI, from the history of neural networks to the latest advances and applications of GenAI technologies. Opening with an introductory backdrop on Artificial Intelligence (AI), Big Data, the Internet of Things (IoT) and Generative AI (GenAI), the Chapter 1 offers readers foundational knowledge of these groundbreaking technologies and their specific applications within the educational settings. The spotlight is cast on ChatGPT by OpenAI, highlighting its potential as a revolutionary tool in higher education. Generative AI (GenAI) is a subset of Artificial Intelligence that involves creating new data or content. The term “generative” refers to the capability of AI to produce novel outputs rather than simply reproducing, categorising, processing, and analysing inputs.
Genre: Non-Fiction > Tech & Devices

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