LEARNING INTELLIGENCE
Turn Learning Into Intelligence.
DISHA connects learner context, capabilities, goals, evidence, content, experiences and outcomes to create a continuously adapting learning system.
What should this learner learn next, why — and how can the system continuously adapt?
The Learning Intelligence Canvas
A learner at the centre — surrounded by capabilities, goals, gaps, history, preferences, evidence, resources, workplace context and target outcomes. Change one variable and watch the recommendation change.
Next best learning
Applied AI product programme
Why: Role goal requires AI knowledge; current evidence is claimed-only.
Gap: Evidence gap: AI knowledge
Unlocks: Applied assessment at programme end
One learner, one canvas — every variable change is explained, never mysterious.
The Learner Context Engine
Build a contextual learner profile from approved information only.
Two learners with the same job do not need the same learning.
Learning Objective Intelligence
Translate a goal into learning requirements — whatever shape the goal takes.
Acquire a skill
New capability from first evidence.
Close a capability gap
Diagnosis already exists — learn to close it.
Prepare for a role
Role model decomposes into requirements.
Meet a regulatory requirement
Mandated learning, tracked to proof.
Achieve a credential
Evidence shaped to the credential's criteria.
Improve a work outcome
Learning tied to a measurable result.
Content Intelligence
Understand learning resources — not merely list them.
DISHA reasons about resources — it does not just search them.
The Adaptive Recommendation Engine
What they already know
Skips what evidence proves.
What they need
Ranks by the gap that matters.
What they demonstrated
Re-sequences after new evidence.
What they're trying to achieve
Anchors to the objective.
What evidence is still missing
Recommends proof, not just content.
Learning Evidence
Completion alone should not automatically equal capability.
Learning Momentum
Progressing
Evidence is accumulating toward the goal.
Slowing
Momentum is dropping — visible early, not after failure.
Intervention
A targeted change could help — proposed, never imposed.
Momentum is a product metric — it requires a defined measurement model, not a vibe.
Explain My Recommendation
It targets the highest-priority gap with the strongest evidence fit.
Every recommendation answers all five — every time.
The Learning Intelligence Loop
…and back to the goal — continuously.
Teach Maya
Illustrative demo — fictional learner, synthetic evidence
One fictional learner, one role goal, one accepted recommendation — and the moment new evidence re-ranks everything.
Manager Intelligence
Without reducing development to course-completion statistics.
Enterprise Learning Intelligence
Connect learning priorities to strategic capabilities, workforce plans, internal mobility and future skill requirements — learning becomes a strategic capability system.
The AI Learning Agents
Learning Coach Agent
Explains, coaches and scaffolds — within its bounds.
Content Curator Agent
Maintains the resource model.
Assessment Agent
Prepares and scores against rubrics.
Practice Agent
Generates targeted practice.
Reflection Agent
Prompts structured reflection.
Learning Pathway Agent
Sequences the route.
Credential Agent
Links evidence to recognition.
Manager Coach Agent
Helps managers develop, not surveil.
Each has bounded responsibilities and escalation rules.
Responsible Learning Intelligence
Explain recommendations
Every recommendation carries its reasoning.
Protect learner data
Data use stays within authorised purpose.
Allow correction
Learners can challenge and fix the profile.
Avoid manipulative nudging
Persuasion is not the product.
Distinguish recommendation from requirement
A suggestion is not an order.
Provide human support
A person is always reachable.
SEE THE SYSTEM
Learning That Understands the Learner.
90–120 seconds · reserved film slot
From catalogue to intelligence.
Connected, Never Duplicated
Learning That Answers “What Next?” — With Reasons.
Learning Intelligence is the layer that keeps asking, answering and adapting: what should this learner learn next, why, and what changed since yesterday.