Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI for Teaching and Learning: Reimagining Education

AI for Teaching and Learning: Reimagining Education

Sockalingam, Nachamma
Menkhoff, Thomas
Tan, Jayarani

Hardcover

General ComputersGeneral Education

ISBN10: 9819838193
ISBN13: 9789819838196
Publisher: World Scientific Publishing Company
Published: Oct 14 2026
Pages: 366
Weight: 1.71
Height: 1.06 Width: 6.00 Depth: 9.00
Language: English
AI for Teaching and Learning: Reimagining Education brings together multidisciplinary case studies and research-informed practices across different disciplines to shed light on how Artificial Intelligence, particularly Generative Artificial Intelligence (GenAI), is reshaping higher education and workplace learning. Not merely a productivity tool, GenAI is rapidly becoming a transformative force in curriculum design, pedagogy, assessment, and learner engagement.The volume situates AI's rise within broader technological, organizational, and societal transformations before examining how GenAI is influencing curriculum design, pedagogy, assessment redesign, and institutional strategy. It explores Large Language Models (LLMs) in computing education, personalized and adaptive learning systems, inquiry-based teaching, AI literacy development, and collaborative Human-GenAI classroom models. Its contributors critically examine misconceptions about AI, evolving academic practices, and the shifting relationship between human expertise and machine intelligence. Case studies span AI-supported teaching workflows, assessment practices, AI-enhanced exam preparation and evaluation, conversational agents in smart cities, climate education, and cultural heritage preservation, alongside immersive innovations such as Extended Realities (XR) for experiential and systems-level learning.Across disciplines, the central argument is clear: AI must augment and compliment, not replace, human cognition. By positioning educators and institutions as architects of Human-AI collaboration, this book offers an integrated, practice-grounded framework that bridges theory and implementation, equipping leaders and educators with concrete models for responsible, future-ready transformation.

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