Book review of "Navigating Generative AI in Higher Education: Ethical, Theoretical and Practical Perspectives"

Navigating Generative AI in HigherEducation is published at a pivotal moment when AI integration in universities raises major questions.Facing changes in research, teaching, and assessment, academic stakeholders seek guidance to understand this new reality.The book combines varied analyses, diverse methods, concrete examples, and broad literature-based examination.It covers technical, pedagogical, ethical, political and institutional perspectives, offering a comprehensive overview of current transformations.The book is primarily intended for professors, researchers, graduate students, and staff who support education and research.Instructional designers, IT teams, institutional leaders, and managers will also find it valuable.It provides clear guidance for rethinking teaching practices, reviewing assessments, supporting research, and making informed decisions.The volume offers examples and practices applicable in multiple contexts.Chapter one presents AI fundamentals, explaining neural networks, deep learning, NLP, and LLMs.It traces AI's evolution from ELIZA to GPT-4, Claude 3.5 Sonnet, and Gemini Flash 2.0, and describes generative models (GPT, GAN, VAE) that create text, images, and videos.The chapter demonstrates how AI drives epistemological change by reshaping knowl-

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Publication Details

Journal
Canadian Journal of Higher Education
Published
2025-12-30
DOI
https://doi.org/10.47678/cjhe.v55i4.191153
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Book review of "Navigating Generative AI in Higher Education: Ethical, Theoretical and Practical Perspectives"

Mylène Raymond
Canadian Journal of Higher Education
Ethics and Social Impacts of AI
article

Book review of "Navigating Generative AI in Higher Education: Ethical, Theoretical and Practical Perspectives"

Mylène Raymond
article en

Abstract

Navigating Generative AI in HigherEducation is published at a pivotal moment when AI integration in universities raises major questions.Facing changes in research, teaching, and assessment, academic stakeholders seek guidance to understand this new reality.The book combines varied analyses, diverse methods, concrete examples, and broad literature-based examination.It covers technical, pedagogical, ethical, political and institutional perspectives, offering a comprehensive overview of current transformations.The book is primarily intended for professors, researchers, graduate students, and staff who support education and research.Instructional designers, IT teams, institutional leaders, and managers will also find it valuable.It provides clear guidance for rethinking teaching practices, reviewing assessments, supporting research, and making informed decisions.The volume offers examples and practices applicable in multiple contexts.Chapter one presents AI fundamentals, explaining neural networks, deep learning, NLP, and LLMs.It traces AI's evolution from ELIZA to GPT-4, Claude 3.5 Sonnet, and Gemini Flash 2.0, and describes generative models (GPT, GAN, VAE) that create text, images, and videos.The chapter demonstrates how AI drives epistemological change by reshaping knowl-

Canadian Journal of Higher EducationVol. 55(4)
Quality Education
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
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Book review of "Navigating Generative AI in Higher Education: Ethical, Theoretical and Practical Perspectives" — Mylène Raymond · Canadian Journal of Higher Education (2025) | TGRS Research Map | TGRS