Learning Design Requires Structure, Not Guesswork
Learning objectives and assessments are the foundation of effective training. When they are unclear or misaligned, even well-designed content fails to produce meaningful outcomes.
PRISM™ helps professionals move beyond trial-and-error AI prompting by providing a repeatable, ethical framework for using AI as a design assistant, not a decision-maker.
Participants learn how to guide AI intentionally, apply established instructional design models, and ensure outputs are measurable, defensible, and aligned to real-world performance.
WHAT PARTICIPANTS CAN EXPECT
- PRISM™ Certification credential
- A practical, five-step framework for writing effective AI prompts
- Ethical guidance using the E.T.H.I.C. model for responsible AI use
- Hands-on examples across multiple objective and assessment models
- Tools to improve clarity, alignment, and measurement in learning design
- Confidence using AI to support, not replace professional judgment
2026 COURSE SCHEDULE & INTEREST LIST
2026 courses will begin in late March, with additional sessions scheduled throughout the year.
Join the interest list to receive early access to course dates, enrollment details, and priority registration.
2026 COURSE SCHEDULE & INTEREST LIST
2026 courses will begin in late March, with additional sessions scheduled throughout the year.
Join the interest list to receive early access to course dates, enrollment details, and priority registration.
Monthly cohorts are intentionally small to allow for meaningful practice and scoring calibration.
Join the 2026 Waiting List
Learning Models Used in PRISM™
PRISM™ demonstrates how the same learning need produces different objectives and assessments depending on the model applied.
Participants learn how to apply the PRISM™ prompt framework across the following models:
- Bloom’s Taxonomy
- Knowledge, Skills, and Attitudes (KSAs)
- Scenario / Performance Objectives
- SMART Objectives
Participants learn how to design AI-supported assessments using commonly accepted formats, including:
- Multiple-Choice Questions (MCQs)
- Likert-Scale Items
- Observable Behaviors (Checklists & Rubrics)
- Written Response Questions (WRQs)
PRISM™ integrates established instructional design models and research-informed assessment practices to ensure AI-supported learning design remains ethical, defensible, and performance-focused.
