
AI+ for Instructional Design
Create Learning Experiences That Work
Programmes that produce learning. Not lessons that cover content.
You start every new programme from a blank page, SMEs give you content that needs restructuring, and AI-generated training feels like it was designed for no one. This book gives instructional designers the Instructional Design Prompt Toolkit (38 prompts across the full ID cycle), a systematic backward-design process that AI accelerates, and practical storyboarding and media selection guidance. Built by an AI engineering firm for instructional designers who know the learner is always the point.
- 38 ready-made, market-tested prompts: needs summaries, objectives hierarchies, content architecture, instructional strategies, storyboards, media briefs
- A backward design workflow — outcomes first, content architecture second, activities third
- A learning objectives discipline at programme, module, and lesson level — action verbs aligned to cognitive levels
- An evidence-based strategy selection — worked examples, scenario-based learning, spaced practice, elaborative interrogation
- A 30-day plan for instructional designers, e-learning developers, curriculum designers, L&D professionals, and SMEs designing for the first time
Any professional whose primary work involves the systematic design of learning experiences at programme or module level. This includes: instructional designers and learning experience designers in corporate L&D; e-learning developers who design as well as build; curriculum designers in education and professional training; L&D professionals whose role spans design as well as delivery; subject matter experts who have been asked to "turn their knowledge into training" and need a design methodology to do it. The common thread: they are responsible not just for delivering content but for designing an experience that produces measurable learning. They think in structures: objectives, sequences, activities, assessments — not just topics and slides. Typically 2–15 years in L&D, education, or professional training, with design as a primary or growing part of their role.
Also for:Heads of L&D or learning design teams managing the quality of ID output; educators transitioning from classroom teaching to curriculum or course design; independent training consultants and corporate trainers who want to formalise their design methodology; subject matter experts (SMEs) being asked to design learning programmes for the first time; e-learning developers who want to lead their own projects rather than execute others' storyboards.
- Design a complete learning experience using a systematic ID process — from needs summary and objectives hierarchy through content architecture, instructional strategies, and assessment integration — with AI as design partner at each stage
- Write learning objectives at programme, module, and lesson level using action verbs aligned to cognitive level, and map them into a content architecture using AI
- Apply at least three evidence-based instructional strategies (worked examples, scenario-based learning, spaced practice, elaborative interrogation) with AI support, selecting the right strategy for the learning goal
- Produce instructional writing — explanations, analogies, worked examples, and learning scenarios — with AI as the drafting partner and professional judgement as the quality filter
- Create a design-ready storyboard or blueprint specification for an e-learning module or structured learning experience, including interaction design, narration briefs, and SME review notes
- Select the appropriate delivery medium (face-to-face workshop, e-learning, video, microlearning, job aid, blended) against a set of learning and logistical criteria, using AI to generate media selection rationales and production briefs
- Diagnostic
- How AI-ready is your instructional design practice?
- Chapter 1
- AI in Instructional Design Right Now
- Chapter 2
- The Instructional Designer's Mindset
- Chapter 3
- From Goals to Learning Architecture
- Chapter 4
- Designing for Learning
- Chapter 5
- Writing for Learning
- Chapter 6
- Storyboarding and Prototype Design
- Chapter 7
- Selecting the Right Media
- Chapter 8
- Review, Iteration, and Quality Assurance
- Chapter 9
- Designing for Diverse Learners
- Chapter 10
- Your 30-Day Instructional Design Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm — for designers whose programmes have to produce learning, not just deliver content.
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