David Woodring

Advancing Higher Education with Human-Centric AI Partnerships

A Sustainable Guide for Integrating Generative AI

• Broschiertes Buch

Produktbeschreibung

This guide features a unique, interconnected system of resources. The Human-AI Collaboration & Synergy (HAICS) Guide contains core frameworks for mastering AI use across teaching, learning, assessment, research, and administration (TLARA), plus a Crash Course in AI Ethics & Literacy. The User Experience (UX) Workbooks guide users through strategic planning, implementation, piloting, and scaling GenAI, while the Personalized Adaptive Learning Sessions (PALS) Workbooks employ AI as a partner to help users customize frameworks and solutions for their unique contexts.

Produktdetails

• Verlag: Palgrave Macmillan / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89285243, 978-3-032-05204-9
• Seitenzahl: 418
• Erscheinungstermin: 10. Januar 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032052049
• ISBN-10: 3032052041
• Artikelnr.: 75135483

Autorenporträt

David Woodring is an AI Researcher and consultant. He develops human-centric strategies to guide HEIs in navigating large-scale AI integration.

Inhaltsangabe

Part 1: Chapter 1: The Fifth Industrial Revolution: A New Cognitive Era & Unprecedented Human-AI Collaboration.- Chapter 2: Hybrid Human-AI Intelligence: A Vision for Innovation & Higher Education's Future.- Chapter 3: Human-AI Collaboration (HAIC) in Higher Education: Defining Roles, Responsibilities, and Oversight with GenAI.- Chapter 4: The Emergence of Generative AI: Navigating Short-Term Viability and Long-Term Sustainability in Human-AI Partnerships.- Chapter 5: Applying & Customizing the Core Frameworks for Optimizing Human-AI Partnerships in Higher Education.- Part 2: Chapter 6: Preparing for Diverse Stakeholder Engagement & AI Governance.- Chapter 7: Forming Diverse Smart Teams & Mapping Stakeholders.- Chapter 8: Assessing Institutional Readiness for AI Integration.- Chapter 9: Strategic Planning: Crafting the Institutional AI Vision & Governance Framework.- Chapter 10: Designing Pilots from the Strategic Roadmap.- Chapter 11: Implementing and Piloting Human-Centric AI Initiatives.- Chapter 12: Collecting and Synthesizing Pilot Data & Feedback.- Chapter 13: Monitor & Evaluate Ongoing AI Initiatives.- Chapter 14: Scale and Institutionalize: Embedding AI for Sustainable Impact.- Chapter 15: Adaptation and Refinement.- Chapter 16: Custom AI Ethics & Literacy Frameworks, and AI Governance (Long-Term Strategic Horizon).- Chapter 17: Long-Term Scaling, Sustainability & AI Governance: Building a Culture of AI Literacy for All.