University Teaching in the Age of Artificial Intelligence (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 31,93
Cantidad disponible: 1 disponible
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Paperback. The complete, practical guide for professors who must teach, assess and lead in an AI-shaped university, now.University teaching changed faster than university policy did. Students already use ChatGPT, Claude, Gemini and NotebookLM for every assignment. Faculty are told to "integrate AI responsibly" without a single working example. This book closes that gap with 23 chapters of tested, classroom-ready methods.Written for professors, course coordinators, instructional designers and quality officers, it moves from first principles to institutional policy in four parts: Professional and ethical foundations: the PROF+ model, the 5D teaching cycle, privacy, bias and intellectual property, and a digital literacy self-assessment for faculty.Course design: AI use policies and disclosure agreements students actually understand, AI-ready learning outcomes, constructive alignment, TPACK, and how to choose the right AI tools for academic work.Daily practice: prompt engineering as a teachable professional skill (CRISP and PEARL), an instructional prompt-pattern catalog, NotebookLM and agentic AI in teaching, classroom activities across disciplines, and student engagement.Assessment and governance: critical thinking and AI literacy, smart feedback, assessment redesign that resists AI substitution, academic rubrics and grading calibration, inclusion and accessibility, and an institutional digital transformation map.Every chapter ends in something you can use next semester: a checklist, an applied template, a rubric, a decision table, worked classroom examples and a Prompt Studio with ready-to-copy prompts. The book closes with an expanded prompt library of more than 45 professional prompts organised by the teaching cycle, a glossary, and applied appendices.What makes this guide differentA working method, not a tool list: every recommendation is tied to a learning outcome and a piece of evidence.Assessment integrity without surveillance: process evidence, mini oral defences, multi-stage tasks and rubrics that measure thinking.Built for real departments: templates for course policies, departmental prompt libraries, calibration sessions and governance risk registers.Written from inside the university classroom and informed by higher education practice in the Gulf and internationally, while remaining open to global standards.Ideal for: faculty development programs, teaching and learning centres, curriculum committees, graduate teaching assistants, and any lecturer who wants a defensible, humane and effective way to teach with generative AI.Dr. Wedad M. Aljawder is an Assistant Professor at the University of Bahrain, College of Applied Studies, whose work focuses on higher education, assessment, educational technology and the integration of AI in teaching and learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798174059252
- Título
- University Teaching in the Age of Artificial Intelligence (Paperback)
- Autor
- Dr Wedad M. Aljawder
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798174059252
The complete, practical guide for professors who must teach, assess and lead in an AI-shaped university, now.
University teaching changed faster than university policy did. Students already use ChatGPT, Claude, Gemini and NotebookLM for every assignment. Faculty are told to "integrate AI responsibly" without a single working example. This book closes that gap with 23 chapters of tested, classroom-ready methods.
Written for professors, course coordinators, instructional designers and quality officers, it moves from first principles to institutional policy in four parts:
- Professional and ethical foundations: the PROF+ model, the 5D teaching cycle, privacy, bias and intellectual property, and a digital literacy self-assessment for faculty.
- Course design: AI use policies and disclosure agreements students actually understand, AI-ready learning outcomes, constructive alignment, TPACK, and how to choose the right AI tools for academic work.
- Daily practice: prompt engineering as a teachable professional skill (CRISP and PEARL), an instructional prompt-pattern catalog, NotebookLM and agentic AI in teaching, classroom activities across disciplines, and student engagement.
- Assessment and governance: critical thinking and AI literacy, smart feedback, assessment redesign that resists AI substitution, academic rubrics and grading calibration, inclusion and accessibility, and an institutional digital transformation map.
Every chapter ends in something you can use next semester: a checklist, an applied template, a rubric, a decision table, worked classroom examples and a Prompt Studio with ready-to-copy prompts. The book closes with an expanded prompt library of more than 45 professional prompts organised by the teaching cycle, a glossary, and applied appendices.
What makes this guide different
- A working method, not a tool list: every recommendation is tied to a learning outcome and a piece of evidence.
- Assessment integrity without surveillance: process evidence, mini oral defences, multi-stage tasks and rubrics that measure thinking.
- Built for real departments: templates for course policies, departmental prompt libraries, calibration sessions and governance risk registers.
- Written from inside the university classroom and informed by higher education practice in the Gulf and internationally, while remaining open to global standards.
Ideal for: faculty development programs, teaching and learning centres, curriculum committees, graduate teaching assistants, and any lecturer who wants a defensible, humane and effective way to teach with generative AI.
Dr. Wedad M. Aljawder is an Assistant Professor at the University of Bahrain, College of Applied Studies, whose work focuses on higher education, assessment, educational technology and the integration of AI in teaching and learning.
“Sinopsis” puede pertenecer a otra edición de este título.
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Vendedor de IberLibro desde 12 de octubre de 2005
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