David Woodring Woodring Advancing Higher Education with Human-Centric AI Partnerships

Advancing Higher Education with Human-Centric AI Partnerships

von David Woodring

A Sustainable Guide for Integrating Generative AI

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Beschreibung

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.

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


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.


Provides a systematic, step-by-step guide with a detailed assignment design process and assignment with generative AI Offers customizable prompts for a flexible framework to adjust assignments to fit varied educational contexts Instills a culture of integrity and emphasizes the ethical and responsible use of generative AI in educational settings

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David Woodring

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Teaching technology curriculum design education and AI artificial intelligence authentic assignment design AI-integrated curriculum ethical AI in education ChatGPT teaching methods

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Details

ISBN: 9783032052049
Verlag: Springer International Publishing
Erscheinung: 15.02.2026

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