This book is a practical, faculty-centered guide to using generative artificial intelligence in higher education to strengthen teaching, clarify expectations, and preserve academic rigor. It is written for instructors who are navigating tools such as ChatGPT, Copilot, and Gemini and who want actionable strategies, not hype, fear-based messaging, or technical tutorials, for responding thoughtfully in their everyday work.
The core premise is simple: AI adoption in higher education is underway, but it is uneven, complex, and often happening faster than institutions can provide clear guidance. Faculty and students are making real-time decisions about what is acceptable, what is ethical, and what counts as evidence of learning. Rather than treating AI as a problem that can be solved through enforcement alone, the book frames AI as a catalyst that exposes long-existing vulnerabilities, especially in course designs that rely heavily on product-focused work completed outside of class. When polished writing, answers, and explanations can be generated quickly, the central faculty challenge becomes designing learning experiences that make student thinking visible and measurable.
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Dr. A. H. Robinson is an educator, mentor, and academic leader committed to helping faculty teach with clarity, purpose, and integrity. Before entering higher education, Dr. Robinson built a career as an IT leader, guiding teams in the strategic implementation of technology solutions that improved operations, strengthened performance, and advanced organizational goals. That foundation continues to shape his practical, systems-oriented approach to teaching and academic leadership.With 15 years as a professor, Dr. Robinson brings a deep, firsthand understanding of what effective instruction requires: consistent expectations, clear communication, and learning experiences that challenge students while supporting their success. He has taught both undergraduate and graduate courses, and his disciplined, student-centered approach reflects his belief that outstanding teaching is not just about expertise, but about how instructors structure learning, build trust, and create conditions for meaningful progress.In The AI-Smart Instructor: A Faculty Guide to Course Content With AI, Dr. Robinson extends that educator-first mission into today's AI-enabled classroom. He provides faculty with clear, responsible strategies for using AI to enhance course content and instructional workflows while protecting academic standards and reinforcing sound pedagogy. His scholarship includes published papers on student adoption of learning technologies and faculty adoption of AI, reflecting his ongoing commitment to helping institutions integrate innovation thoughtfully and effectively. Through his writing, teaching, and mentoring, Dr. Robinson equips educators to think more strategically, teach more effectively, and lead with intention in a rapidly evolving academic landscape.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a practical, faculty-centered guide to using generative artificial intelligence in higher education to strengthen teaching, clarify expectations, and preserve academic rigor. It is written for instructors who are navigating tools such as ChatGPT, Copilot, and Gemini and who want actionable strategies, not hype, fear-based messaging, or technical tutorials, for responding thoughtfully in their everyday work.The core premise is simple: AI adoption in higher education is underway, but it is uneven, complex, and often happening faster than institutions can provide clear guidance. Faculty and students are making real-time decisions about what is acceptable, what is ethical, and what counts as evidence of learning. Rather than treating AI as a problem that can be solved through enforcement alone, the book frames AI as a catalyst that exposes long-existing vulnerabilities, especially in course designs that rely heavily on product-focused work completed outside of class. When polished writing, answers, and explanations can be generated quickly, the central faculty challenge becomes designing learning experiences that make student thinking visible and measurable. Nº de ref. del artículo: 9798295594731
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Paperback. Condición: new. Paperback. This book is a practical, faculty-centered guide to using generative artificial intelligence in higher education to strengthen teaching, clarify expectations, and preserve academic rigor. It is written for instructors who are navigating tools such as ChatGPT, Copilot, and Gemini and who want actionable strategies, not hype, fear-based messaging, or technical tutorials, for responding thoughtfully in their everyday work.The core premise is simple: AI adoption in higher education is underway, but it is uneven, complex, and often happening faster than institutions can provide clear guidance. Faculty and students are making real-time decisions about what is acceptable, what is ethical, and what counts as evidence of learning. Rather than treating AI as a problem that can be solved through enforcement alone, the book frames AI as a catalyst that exposes long-existing vulnerabilities, especially in course designs that rely heavily on product-focused work completed outside of class. When polished writing, answers, and explanations can be generated quickly, the central faculty challenge becomes designing learning experiences that make student thinking visible and measurable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798295594731
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