Artificial intelligence academic integrity (84 résultats)

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Taschenbuch. Etat : Neu. Neuware - Detecting AI CheatingArtificial intelligence is transforming classrooms faster than most schools can adapt.Teachers everywhere are now facing difficult questions: - Was this assignment actually written by the student - How can academic integrity be protected in the AI era - What happens when AI detectors fail - How do you address suspected AI-generated work professionally and fairly Detecting AI Cheating is a practical guide designed for teachers navigating the growing challenge of AI-generated student work.Instead of overwhelming theory or technical jargon, this book provides real-world classroom strategies educators can apply immediately.Inside, you'll learn how to: - Recognize common signs of AI-generated assignments - Identify patterns AI detectors often miss - Redesign assignments to encourage authentic student thinking - Manage difficult conversations with confidence and professionalism - Create practical AI classroom policies and workflows - Reduce stress, uncertainty, and decision fatigueWhether you teach middle school, high school, or college-level courses, this book helps you respond to modern classroom challenges with clarity, confidence, and practical solutions.This is not a technology manual.It is a professional survival guide for today's educators.Get your copy today and start building a stronger, more AI-aware classroom.…

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Hardback. Etat : New. Academic Integrity Meets Artificial Intelligence examines academic integrity practices in higher education institutions (HEIs) in the Caribbean, assessing the current and potential impact of generative artificial intelligence tools on academic integrity and how HEIs globally have been responding.Using the Academic Integrity Rating System (AIRS), Baker-Gardner assesses the academic integrity practices of 31 HEIs native to the Caribbean to determine whether these institutions have the structures in place to manage the challenges which are likely to result from the unethical use and possible misuse of generative artificial intelligence tools such as ChatGPT.Baker-Gardner promotes an educative approach to academic integrity in which students are supported in the development of academic integrity knowledge and practices through structured programmes. This includes providing them with an understanding of the use of generative artificial intelligence tools and instructing them in how and when to use these tools ethically to support learning.…

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Hardback. Etat : New. Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This illuminating Research Agenda provides an evidence-based roadmap for scholarship related to academic integrity, plagiarism and research ethics in the age of generative artificial intelligence (GenAI) and advanced technologies. Moving beyond detection and compliance-oriented approaches, leading experts propose forward-thinking solutions for GenAI and academic probity.Contributors adopt the award-winning 'postplagiarism' framework, demonstrating how educators can uphold and enact academic principles and promote ethical student conduct in contexts where GenAI is ubiquitous. Chapters draw on perspectives from the Global North and South to explore assessment security, academic misconduct, cheating and student success. Emphasising the necessity of adaptable ethical frameworks and improved AI literacy, the Research Agenda outlines urgent and emerging priorities which have the potential to redefine the nature of authorship and responsible research.A Research Agenda for Artificial Intelligence and Academic Integrity is an essential resource for scholars and students of GenAI and education. Educational leaders and curriculum policymakers will similarly benefit from its grounded analysis and actionable recommendations.…

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Hardcover. Etat : new. Hardcover. Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This illuminating Research Agenda provides an evidence-based roadmap for scholarship related to academic integrity, plagiarism and research ethics in the age of generative artificial intelligence (GenAI) and advanced technologies. Moving beyond detection and compliance-oriented approaches, leading experts propose forward-thinking solutions for GenAI and academic probity.Contributors adopt the award-winning postplagiarism framework, demonstrating how educators can uphold and enact academic principles and promote ethical student conduct in contexts where GenAI is ubiquitous. Chapters draw on perspectives from the Global North and South to explore assessment security, academic misconduct, cheating and student success. Emphasising the necessity of adaptable ethical frameworks and improved AI literacy, the Research Agenda outlines urgent and emerging priorities which have the potential to redefine the nature of authorship and responsible research.A Research Agenda for Artificial Intelligence and Academic Integrity is an essential resource for scholars and students of GenAI and education. Educational leaders and curriculum policymakers will similarly benefit from its grounded analysis and actionable recommendations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardcover. Etat : new. Hardcover. Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This illuminating Research Agenda provides an evidence-based roadmap for scholarship related to academic integrity, plagiarism and research ethics in the age of generative artificial intelligence (GenAI) and advanced technologies. Moving beyond detection and compliance-oriented approaches, leading experts propose forward-thinking solutions for GenAI and academic probity.Contributors adopt the award-winning postplagiarism framework, demonstrating how educators can uphold and enact academic principles and promote ethical student conduct in contexts where GenAI is ubiquitous. Chapters draw on perspectives from the Global North and South to explore assessment security, academic misconduct, cheating and student success. Emphasising the necessity of adaptable ethical frameworks and improved AI literacy, the Research Agenda outlines urgent and emerging priorities which have the potential to redefine the nature of authorship and responsible research.A Research Agenda for Artificial Intelligence and Academic Integrity is an essential resource for scholars and students of GenAI and education. Educational leaders and curriculum policymakers will similarly benefit from its grounded analysis and actionable recommendations. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardback. Etat : New. Academic Integrity Meets Artificial Intelligence examines academic integrity practices in higher education institutions (HEIs) in the Caribbean, assessing the current and potential impact of generative artificial intelligence tools on academic integrity and how HEIs globally have been responding.Using the Academic Integrity Rating System (AIRS), Baker-Gardner assesses the academic integrity practices of 31 HEIs native to the Caribbean to determine whether these institutions have the structures in place to manage the challenges which are likely to result from the unethical use and possible misuse of generative artificial intelligence tools such as ChatGPT.Baker-Gardner promotes an educative approach to academic integrity in which students are supported in the development of academic integrity knowledge and practices through structured programmes. This includes providing them with an understanding of the use of generative artificial intelligence tools and instructing them in how and when to use these tools ethically to support learning.…