AI for Learning Design
AI in ADDIE
Phase 1: Analyze
Project Overview:
Project Details:
Conduct a comprehensive training needs analysis using AI tools for optimization.
Use AI to define goals and outcomes, create inclusive learner personas, conduct detailed content analyses, analyze performance gaps, and identify learning constraints.
Tech:
ChatGPT, Gemini, Perplexity, Claude, Gamma; Synthetic learner data
Project Concepts:
Needs Analysis
Understand and analyze training needs for the project.
Learning & Performance Objectives
AI-assisted development of appropriate learning and performance objectives.
Learner Personas
AI-assisted development of learner personas, with personal and AI-assisted auditing and revisions.
Exploring AI Technology
ChatGPT, Gemini, Perplexity, Claude, Co-Pilot, Gamma
Process:
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Project Overview & Goals
Project Overview & Goals (Continued)
Original Learner Personas
Revised Learner Personas
Task & Gap Analyses
Environmental Analysis: Learning Constraints
Personalized Onboarding Recommendations
AI Process Reflection
AI in ADDIE
Phase 2: Design
Project Overview:
Project Details:
Integrate AI into the design process for an onboarding module grounded in instructional theory and performance-based objectives.
Practical Application:
Use AI to optimize logical content sequencing, select instructional strategy selection, assessment planning, media and modality selection, and storyboard development.
Tech:
ChatGPT, Gemini, Perplexity, Claude, Gamma; Synthetic learner data
Project Concepts:
Content Sequencing
Use AI to draft a content outline that flows from simple to complex tasks, aligned with cognitive load theory.
Instructional Strategies & Assessments
Analyze, select, & justify instructional strategies and assessment types.
Media & Modality
Decide delivery formats (eLearning, video demos, live virtual sessions) with rationale based on learner needs.
Storyboarding
Develop a storyboard for one module or video, including visuals, narration, interactivity, and accessibility considerations.
Process:
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Project Overview & Goals
Content Sequencing
Content Sequencing (Continued)
Instructional Strategies
Assessment Types
Media & Modality Selection
Storyboarding
AI Process Reflection
AI in ADDIE
Phase 3: Develop
Project Overview:
Project Details:
Integrate AI into the design process for an onboarding module grounded in instructional theory and performance-based objectives.
Practical Application:
Use AI to optimize visual and video media development, build interactive practice activities / knowledge checks, and write support documentation.
Tech:
ChatGPT, Synthesia, Claude, Gamma; Synthetic learner data
Project Concepts:
AI Media & Video
Use new, rapidly-evolving AI video training tools to develop professional-looking training videos in minutes.
Interactive Practice Activities
Collaborate with AI to develop platform-specific interactive practice activities, including interaction logic.
Knowledge Checks
Develop content- and platform-specific knowledge checks, including AI-generated feedback messaging.
Support Documentation
Leverage all project data in the AI conversation and public data about the product to generate guides for both facilitator and learner.
Process:
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Demo Media
AI Training Video
Practice Interaction
Knowledge Check
Facilitator Guide
Learner Instructions
AI in ADDIE
Phase 4: Implement
Project Overview:
Project Details:
Integrate AI into the design process for an onboarding module grounded in instructional theory and performance-based objectives.
Practical Application:
Use AI to create detailed implementation plans, design facilitator guides and learner job aids, and draft internal communication materials for launch. Integrate automation for scheduling, learner follow-ups, and feedback collection to ensure a smooth, scalable rollout experience.
Tech:
ChatGPT, Claude, Gamma
Project Concepts:
Implementation Planning
AI-assisted development of rollout frameworks, timelines, and stakeholder roles to ensure organized and efficient onboarding delivery.
Facilitation & Support Materials
AI-generated drafts for facilitator guides, learner job aids, and resource checklists, later refined for brand alignment and clarity.
Communication Strategy
AI-supported drafting of launch announcements, internal emails, and support-channel content to promote engagement and adoption.
Support Documentation
Leverage all project data in the AI conversation and public data about the product to generate guides for both facilitator and learner.
Process:
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Overview
Implementation Plan
Session Flow
Project Resources
Reflection on AI Use
Key Takeaways
AI in ADDIE
Phase 5: Evaluate
Project Overview:
Project Details:
Integrate AI into the design process for an onboarding module grounded in instructional theory and performance-based objectives.
Practical Application:
Design and document an evaluation plan incorporating Kirkpatrick Levels 1–4. Apply AI to analyze learning data, visualize performance trends, and generate actionable insights that inform program iteration.
Tech:
ChatGPT, Claude, Gamma
Project Concepts:
Evaluation Design
AI-assisted creation of surveys, knowledge checks, and an evaluation plan to measure learner reaction and learning outcomes using Kirkpatrick Levels 1–2.
Data Tracking & Analysis
Created a data tracker to record completion rates, average scores, and feedback trends for ongoing performance monitoring.
Continuous Improvement
Outlined a review process and framework linking evaluation results to specific training updates and SOP refinements.
AI Integration Reflection
Documented how AI supported evaluation design and data workflows, highlighting where human insight added context and quality.
Process:
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Evaluation Plan
Onboarding Survey
Knowledge Check
Data Collection
Reflection on AI Use
Key Takeaways