Advancing Higher Education with Human-Centric AI Partnerships

A Sustainable Guide for Integrating Generative AI
Erscheinungsjahr 2026
ISBN: 978-3-032-05204-9
Verlag: Springer International Publishing

Buch, Englisch, 380 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 628 g

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.

Zielgruppe

Graduate

Autoren/Hrsg.

Woodring, David

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Curricula: Planung und Entwicklung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens

Inhaltsverzeichnis

Part I: Optimizing Human-Centric AI Partnerships: Preparing Higher Education for Hybrid Human-AI Intelligence & The Next Cognitive Revolution.- 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 II: Optimizing Human-Centric AI Partnerships for Advancing the Ethical & Effective Implementation, Piloting, Evaluation, & Scaling of Generative AI in Higher Education: A Customizable 4-Phase Framework.- Chapter 6: Phase 1: Strategic Planning and Stakeholder Engagement.- Chapter 7: Forming Smart Teams and Stakeholder Mapping (Phase 1).- Chapter 8: Assessing Institutional Readiness and Capacity (Phase 1).- Chapter 9: Establishing AI Vision and Governance (Phase 1).- Chapter 10: Designing Context-Specific Pilot Programs (Phase 1).- Chapter 11: Phase 2: Implementing Human-Centric AI Initiatives.- Chapter 12: Collecting and Synthesizing Pilot Data (Phase 2).- Chapter 13: Phase 3: Monitoring and Evaluating Ongoing Initiatives.- Chapter 14: Phase 4: Scaling and Institutionalizing for Sustainability.- Chapter 15: Ongoing Adaptation and Refinement (Phase 4).- Chapter 16: Custom AI Ethics and Literacy Frameworks (Phase 4).- Chapter 17: Building an Enduring Culture of AI Literacy (Phase 4).

Über Autor(innen)

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