📘

Understanding by Design

Core resources for mastering the UbD framework and backward design principles

📖 Book

Understanding by Design Guide to Creating High-Quality Units

Wiggins & McTighe

A practical companion to the main UbD text with step-by-step guidance for creating units.

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📄 Article

What is Backward Design?

Vanderbilt Center for Teaching

An excellent overview of backward design principles with practical examples for higher education.

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🎬 Video

Grant Wiggins on UbD

ASCD

Video presentations from Grant Wiggins explaining core UbD concepts and addressing common questions.

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📄 Article

Essential Questions: Opening Doors to Student Understanding

McTighe & Wiggins

Deep dive into crafting essential questions that drive inquiry and promote transfer.

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🤖

AI in Education

Research, guidelines, and best practices for using AI tools in teaching and learning

📄 Report

Artificial Intelligence and the Future of Teaching and Learning

U.S. Department of Education

Comprehensive report on AI's potential and challenges in education with policy recommendations.

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📄 Guide

Teaching with AI: A Practical Guide

Harvard University

Practical strategies for integrating AI tools into teaching while maintaining academic integrity.

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📄 Framework

UNESCO Guidance for Generative AI in Education

UNESCO

International guidelines for the ethical and effective use of AI in educational contexts.

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📄 Article

AI and Academic Integrity: A Framework

International Center for Academic Integrity

Guidance on developing policies and practices that promote integrity in the age of AI.

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🛠️ Tool Guide

AI Prompt Engineering for Educators

ISTE

Learn to write effective prompts that get better results from AI tools like ChatGPT and Claude.

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🎬 Course

AI for Education

Google for Education

Free course on using AI responsibly and effectively in educational settings.

View Resource →
🛠️

Course Design Tools

Software and platforms to help you design, organize, and deliver your courses

🛠️ AI Tool

ChatGPT

OpenAI

Versatile AI assistant for brainstorming, drafting, and refining course materials. Free tier available.

Visit Tool →
🛠️ AI Tool

Claude

Anthropic

AI assistant known for nuanced responses and handling longer documents. Great for detailed rubrics.

Visit Tool →
🛠️ Design Tool

Canva for Education

Canva

Free design tool for creating visual course materials, presentations, and infographics.

Visit Tool →
🛠️ Organization

Notion for Education

Notion

All-in-one workspace for organizing course content, planning, and collaboration. Free for educators.

Visit Tool →
🛠️ Assessment

Rubric Maker

Rubistar

Free tool for creating and customizing rubrics with pre-built templates for common assignment types.

Visit Tool →
🛠️ Syllabus

Syllabus Builder

Various Institutions

Check if your institution has a syllabus builder or template system for consistent formatting.

Check Your Institution →
📚

Teaching & Learning

Evidence-based resources on effective pedagogy and instructional design

📖 Book

Small Teaching

James M. Lang

Quick, evidence-based teaching techniques that make a big difference with minimal prep time.

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📖 Book

Make It Stick: The Science of Successful Learning

Brown, Roediger & McDaniel

Research-based strategies for effective learning that challenge common misconceptions.

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📄 Guide

Universal Design for Learning Guidelines

CAST

Framework for designing flexible, inclusive learning experiences that reach all learners.

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📄 Resource

Bloom's Taxonomy Action Verbs

Various

Reference list of action verbs for writing learning outcomes at different cognitive levels.

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📖 Book

Specifications Grading

Linda B. Nilson

Alternative grading approach that focuses on mastery and reduces grading burden.

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📄 Research

The Science of Learning

Deans for Impact

Summary of cognitive science research and implications for teaching practice.

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📋

Templates & Downloads

Ready-to-use templates for course design documentation

📋 Template

UbD Unit Design Template

AI DesignLab

Complete template for documenting your backward-designed units with all three stages.

Download in Workbook →
📋 Template

Learning Outcomes Template

AI DesignLab

Structured template for writing and organizing course-level and module-level outcomes.

Download in Workbook →
📋 Template

Assessment Alignment Matrix

AI DesignLab

Map your assessments to learning outcomes to ensure complete coverage and alignment.

Download in Workbook →
📋 Template

Rubric Templates (3 Types)

AI DesignLab

Analytic, holistic, and single-point rubric templates ready for customization.

Download in Workbook →

💡 Template Tips

  • All templates are included in the downloadable workbook
  • Templates work with Word, Google Docs, or can be printed
  • Use AI prompts from the Prompt Library to help fill in templates
  • Customize templates to match your institution's requirements
👥

Communities & Further Learning

Connect with other educators and continue your professional development

👥 Community

POD Network

Professional and Organizational Development Network

Professional association for faculty developers with conferences, resources, and networking.

Join Community →
👥 Community

EDUCAUSE

EDUCAUSE

Community focused on technology in higher education, including AI and learning design.

Join Community →
👥 Community

Online Learning Consortium

OLC

Resources and community for online and blended learning excellence.

Join Community →
👥 Forum

r/Professors & r/Teachers

Reddit

Active discussion forums where educators share experiences and advice, including AI use.

Visit Forum →
📖

Scholarly References

Formal citations for all frameworks, models, and scholarly works referenced throughout AI DesignLab. This platform models the same attribution practices it encourages educators to use.

📖 Framework

Understanding by Design (UbD)

Wiggins & McTighe

Wiggins, G. P., & McTighe, J. (2005). Understanding by design. ASCD. The foundational backward design framework used throughout this platform, including Stage 1 (Desired Results), Stage 2 (Evidence), Stage 3 (Learning Plan), GRASPS, WHERETO, and essential questions.

📖 Framework

Bloom's Taxonomy (Revised)

Anderson & Krathwohl (Eds.)

Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives: Complete edition. Addison Wesley Longman, Inc. Referenced in Module 2 for cognitive complexity levels in learning outcomes.

📖 Framework

Original Bloom's Taxonomy

Bloom, Engelhart, Furst, Hill, & Krathwohl

Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook 1: Cognitive domain. New York: Longman. The original taxonomy upon which the revised version was based.

📖 Framework

Affective Domain Taxonomy

Krathwohl, Bloom, & Masia

Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1967). Taxonomy of educational objectives: The classification of educational goals. Handbook 2: Affective domain. Longman. Referenced in Module 2 for affective learning outcomes.

📖 Framework

Psychomotor Domain Taxonomy

Simpson / Dave

. Referenced in Module 2 for psychomotor learning outcomes.

📖 Framework

Taxonomy of Significant Learning

L. Dee Fink

Fink, L. D. (2013). Creating significant learning experiences: An integrated approach to designing college courses. John Wiley & Sons. Referenced in Module 2 as an alternative to Bloom's taxonomy.

📄 Framework

BOPPPS Lesson Planning Model

University of British Columbia / ISW Network

. Referenced in Module 4 as a structured lesson planning framework.

📄 Framework

Universal Design for Learning (UDL) Guidelines

CAST

CAST (2018). Universal design for learning guidelines version 2.2. CAST Universal Design for Learning Guidelines. Referenced in Module 3 for inclusive assessment design principles.

📄 Research

AI Hallucination in Large Language Models

[Author TBD]

. Referenced in Module 1 for the "How AI Tools Actually Work" section.

📄 Research

How Large Language Models Generate Text

[Author TBD]

. Referenced in Module 1 for the "How AI Tools Actually Work" section.

📄 Research

Training Data Bias and Limitations in Generative AI

[Author TBD]

. Referenced in Module 1 for the "How AI Tools Actually Work" section.

🤝

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