Use of AI tools can usually be broken down into four categories: 1) use prohibited; 2) use with prior permission (and proper citation); 3) use freely with proper citation; and 4) use freely without citation. Below are syllabi language examples from other institutions with guidance for each. These examples are intended to help you find your own style and tone, as well as provide a starting point for how you might approach AI in your teaching, assignments, and courses.
UPenn’s Center has an excellent reputation for AI guidance in teaching and learning, including this guidance specifically for course policies and language.
Remember that your AI policy is just one more element important to designing an effective syllabus and classroom policies. Kevin Gannon writing for The Chronicle has a step by step guide to effective syllabus writing here.
Teaching with AI
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How AI is revolutionizing the future of learning and how educators can adapt to this new era of human thinking. Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. José Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments. Bowen and Watson tackle crucial questions related to academic integrity, cheating, and other emerging issues. In the age of AI, critical thinking skills, information literacy, and a liberal arts education are more important than ever. As AI continues to reshape the nature of work and human thinking, educators can equip students with the skills they need to thrive in a rapidly evolving world. This book serves as a compass, guiding educators through the uncharted territory of AI-powered education and the future of teaching and learning.
AI Ethics in Higher Education: Insights from Africa and Beyond
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This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
Artificial Intelligence in the Capitalist University
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Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies. Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI's role in Higher Education. It will be of interest to those working or researching in Higher Education.
Higher Education for Good
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After decades of turbulence and acute crises in recent years, how can we build a better future for Higher Education? Thoughtfully edited by Laura Czerniewicz and Catherine Cronin, this rich and diverse collection by academics and professionals from across 17 countries and many disciplines offers a variety of answers to this question. It addresses the need to set new values for universities, trapped today in narratives dominated by financial incentives and performance indicators, and examines those "wicked" problems which need multiple solutions, resolutions, experiments, and imaginaries. This mix of new and well-established voices provides hopeful new ways of thinking about Higher Education across a range of contexts, and how to concretise initiatives to deal with local and global challenges. In an unusual and refreshing way, the contributors provide insights about resilience tactics and collective actions across different levels of higher education using an array of styles and formats including essays, poetry, and speculative fiction. With its interdisciplinary appeal, this book presents itself as a provocative and inspiring resource for universities, students, and scholars. Higher Education for Good courageously offers critique, hope, and purpose for the practice and the trajectory of Higher Education.
Future Trends in Education Post COVID-19
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This open access book presents the proceedings of the first post COVID-19 conference on Education at the University of Sharjah, United Arab Emirates, on March 14-16, 2022. The book offers state-of-the-art approaches and methodologies in education post-COVID-19. It showcases emerging technology utilization in improving the quality of education, teaching and learning. It discusses the transformation of the curriculum, such as course design and delivery, assessment, and instructional methodologies that focus on employment readiness for the ever-evolving job market. Contributions include a wide range of topics such as online education, curriculum development, artificial intelligence, academic accreditation for hybrid & online learning. Given its scope, the book is essential reading for scholars, students, policy-makers, and education practitioners interested in a better understanding of technological innovations.
