Generative AI in Higher Education: Teaching, Assessment, and Research in the AI Era is a faculty-centered, practice-oriented guide that empowers educators to thoughtfully integrate generative AI into university-level teaching, assessment, and scholarly work.

Drawing on real-world academic scenarios, the book presents structured frameworks and practical use cases with tools such as ChatGPT, Gemini, Claude, and others. It supports lesson planning, course design, multimodal instruction, AI-enhanced video production, inclusive assessment strategies, academic writing, and ethical policy development.

Each chapter blends pedagogical insight with actionable guidance and sample generative prompts. Topics include institutional leadership, human-AI co-authorship, research publication workflows, and the preservation of academic integrity in the age of machine collaboration.

This is not a speculative vision - it is a practical guide grounded in the evolving realities of higher education. Designed for university faculty, instructional designers, graduate researchers, and academic leaders, it also offers valuable insights for edtech developers and policymakers navigating the digital transformation of education.