πŸ“˜

Understanding by Design

Core resources for mastering the UbD framework and backward design principles

πŸ“– 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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πŸ“„ 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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πŸ“„ 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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πŸ€–

AI in Education

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

πŸ“„ 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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πŸ“„ 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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πŸ“„ 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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πŸ“„ 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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πŸ› οΈ 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.

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πŸ› οΈ

Course Design Tools

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

πŸ› οΈ AI Tool

ChatGPT

OpenAI

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

Visit Tool β†’
πŸ› οΈ AI Tool

Claude

Anthropic

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

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πŸ› οΈ Design Tool

Canva for Education

Canva

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

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πŸ› οΈ Organization

Notion for Education

Notion

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

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πŸ› οΈ Assessment

Rubric Maker

Rubistar

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

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πŸ› οΈ Syllabus

Syllabus Builder

Various Institutions

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

Check Your Institution β†’
πŸ“š

Teaching & Learning

Evidence-based resources on effective pedagogy and instructional design

πŸ“– Book

Small Teaching

James M. Lang

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

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πŸ“– 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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πŸ“„ Guide

Universal Design for Learning Guidelines

CAST

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

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πŸ“„ Resource

Bloom's Taxonomy Action Verbs

Various

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

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πŸ“– Book

Specifications Grading

Linda B. Nilson

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

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πŸ“„ Research

The Science of Learning

Deans for Impact

Summary of cognitive science research and implications for teaching practice.

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πŸ“‹

Templates & Downloads

Ready-to-use templates for course design documentation

πŸ“‹ Template

UbD Unit Design Template

AI DesignLab

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

Download in Workbook β†’
πŸ“‹ Template

Learning Outcomes Template

AI DesignLab

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

Download in Workbook β†’
πŸ“‹ Template

Assessment Alignment Matrix

AI DesignLab

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

Download in Workbook β†’
πŸ“‹ Template

Rubric Templates (3 Types)

AI DesignLab

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

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πŸ’‘ 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
πŸ‘₯

Communities & Further Learning

Connect with other educators and continue your professional development

πŸ‘₯ Community

POD Network

Professional and Organizational Development Network

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

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πŸ‘₯ Community

EDUCAUSE

EDUCAUSE

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

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πŸ‘₯ Community

Online Learning Consortium

OLC

Resources and community for online and blended learning excellence.

Join Community β†’
πŸ‘₯ Forum

r/Professors & r/Teachers

Reddit

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

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πŸ“–

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.

πŸ“– 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.

πŸ“– 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.

πŸ“– 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.

πŸ“– 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.

πŸ“– Framework

Psychomotor Domain Taxonomy

Simpson / Dave

. Referenced in Module 2 for psychomotor learning outcomes.

πŸ“– 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.

πŸ“„ Framework

BOPPPS Lesson Planning Model

University of British Columbia / ISW Network

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

πŸ“„ 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.

πŸ“„ Research

AI Hallucination in Large Language Models

[Author TBD]

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

πŸ“„ Research

How Large Language Models Generate Text

[Author TBD]

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

πŸ“„ 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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