Integrative Learning Design Framework 2.0
ILDF 2.0 Agentic Ecosystem
A suite of AI-powered practitioner tools organized across five phases of the Integrative Learning Design Framework — grounding every design decision in learning science, human judgment, and the perspectives of the people you are designing with.
Read the white paper →Five-Phase Design Research Cycle
Informed Exploration
Enactment
Evaluation of Broader Impact
A Cross-Phase Commitment
Designing with target populations — not just for them.
Every ILDF 2.0 tool includes a participatory design touchpoint — prompting practitioners to bring the voices, experiences, and perspectives of their learners and performers into the design process from Phase 1 onwards, not only at the evaluation stage.
Phase 1 — Informed Exploration · Now Available
Performance & Instructional Diagnosis
Before you design anything, determine whether training or instructional intervention is actually warranted.
A structured analysis grounded in Gilbert's BEM, Mager & Pipe, Rossett, and Cognitive Load Theory — producing a Learning Design Brief you can hand to a VP without apologizing for it.
Start AnalysisTakes 5 minutes · No account required
Cause Analysis First
Six-cell BEM scan reveals whether the gap is environmental, motivational, or a genuine skill/knowledge problem — before you spend a dollar on content.
Theoretically Defensible
Every finding cites a named framework. Gilbert (1978), Mager & Pipe (1984), Sweller (1988). Not “AI thinks.” Frameworks you can cite to leadership.
AI Affordances Mapped
If training is warranted, the brief maps which AI affordance — Reasoning, Memory, Agency, or Human-AI Collaboration — fits the gap type and why.
Phase 2 — Enactment · Now Available
AI Affordance Mapper
Once you know the intervention is warranted, pick your AI affordance — Memory, Reasoning, Agency, or Human-AI Collaboration — and get a structured design brief grounded in learning science, with a participatory design plan built in.
The ILDF 2.0 Practitioner Entry Stack
Eight steps from diagnosis to evidence
The complete cycle from diagnosis through formative evaluation — recognizable whether your home tradition is ADDIE, learning experience design, or user-centered design, and extended with the AI-era guardrails each step needs. Start anywhere; each tool works on its own and hands forward to the next.
Performance & Instructional Diagnosis
ADDIE: Needs assessment
LXD/UX: Problem discovery
LXD Evidence Assistant
ADDIE: Evidence-based design
LXD/UX: Research-informed design · lxdevidenceassistant.com
Learner Analysis
ADDIE: Audience analysis
LXD/UX: Learner personas & empathy research
Context & Task Analysis
ADDIE: Environmental / task analysis
LXD/UX: Contextual inquiry & journey mapping
AI Affordance Mapper
ADDIE: Strategy selection
LXD/UX: Design strategy & ideation
Learner Experience Simulator
ADDIE: Prototype testing
LXD/UX: Usability testing with personas
Formative Evaluation Designer
ADDIE: Formative evaluation design
LXD/UX: Iterative evaluation design
Learning Analytics Interpreter
ADDIE: Data interpretation / revision
LXD/UX: Learning analytics & insight synthesis
“What is really needed is a thorough analysis and linkage to AI affordances and learning theory.”
— Senior LXD, Fortune 500 L&D team