PERSONALIZED LEARNING
One Goal. A Learning Journey Built for You.
Personalized Learning adapts pace, sequence, depth, modality, practice and support to learner context and demonstrated progress.
What should this particular learner experience — in what sequence, at what level, and with what support?
My Learning Journey
A learner enters a goal. DISHA proposes a journey — then the learner changes pace, available time and preferred modality, and the journey dynamically changes.
Goal: AI Product Manager readiness
Available time
Pace
Preferred modality
The journey, right now
01 · Diagnostic + evidence review
Existing evidence decides what is skipped · ≈8 weeks
02 · Foundations
Core concepts · ≈8 weeks
03 · Hands-on practice labs
Preferred modality · ≈8 weeks
04 · AI knowledge practice
Targeted practice · ≈8 weeks
05 · Applied project
Workplace application · ≈8 weeks
06 · Assessment + evidence
Credible proof of the capability · ≈8 weeks
Why the journey looks like this: pace, time and modality choices above — every change is explainable.
What the Adaptation Listens To
Nobody Starts at Lesson One
Use appropriate diagnostics and existing evidence to determine what can be skipped, reviewed, practised or assessed.
Learn, Practise, Apply, Assess, Reflect
Move between modes based on evidence. The learner does not simply consume content — the system responds to what they demonstrate.
Pace With an Explanation
Accelerated route
Demonstrated mastery collapses redundant steps.
Reinforcement route
Evidence of difficulty adds practice and support.
Make changes explainable rather than mysterious — every adaptation says why.
Practice, Targeted
Practice activities are chosen for the capability being developed — not from a generic library.
The Personal Learning Dashboard
Options to change the journey are always visible — illustrative view.
The Learner Stays in Control
Accept, postpone, replace or challenge recommendations. Personalization supports agency — it never becomes an invisible compulsory path.
Recommended next: hands-on practice lab for AI knowledge
What the Manager Sees
Private learner data outside the authorised purpose is never shown.
The AI Learning Coach
The coach should not fabricate authoritative content.
Personalize Maya
Illustrative demo — fictional learner, synthetic evidence
One fictional learner, one goal — watch redundant learning disappear and the right practice appear.
Templates and Individuals, Together
Role-based learning templates give the organization consistency — individual adaptation keeps each journey honest. A common capability framework and personalised journeys coexist.
Accessibility & Inclusion
Without changing the underlying learning objective.
Measured by Capability, Not Attendance
Progress is measured through learning evidence and demonstrated capability — not only completion, attendance or time spent.
SEE THE SYSTEM
Learning That Changes as You Change.
90–120 seconds · reserved film slot
The journey adapts. The goal stays fixed.
Connected, Never Duplicated
Built for You, Honest With You.
Personalized Learning adapts the journey to the learner — and explains every adaptation — so progress is real capability, not completed checkboxes.