AIYING | LEARNABILITY AS A SERVICE #001
Learnability as a Service: Design Your Personal Learning Journey with AI
Tell AI where you are, where you want to go, and what you want to accomplish along the way.
From AI Awareness to Accomplishment
Learning Has a Navigation Problem
Suppose you want to learn AI engineering.
You search for courses, watch videos, collect articles, and bookmark tutorials.
Soon you have an abundance of learning resources. But one question remains:
Where should I begin, and what should I do next?
The problem is not always a shortage of information. Sometimes it is the difficulty of navigating from current capability to desired accomplishment.
This suggests a different way of using generative AI.
1. PO: GenAI Is a Learning Navigation Service
PO: Learning should work like requesting a ride.
Specify your current location. Specify your destination. Let the system propose a route.
In mobility, the starting point is a physical location. In learning, it is your present capability.
In mobility, the destination is a place. In learning, it is something you want to understand, create, perform, or accomplish.
The route is not a road. It is a sequence of learning activities, experiments, feedback, and practical milestones.
Unlike a navigation application, an AI assistant cannot automatically know your true capability or guarantee that a proposed learning route will work.
It needs your input, feedback, and judgment.
2. The Learning Navigation Model
CURRENT CAPABILITY → DESIRED ACCOMPLISHMENT
Diagnose → Route → Attempt → Feedback → Reroute → Arrive
Current capability
What can you already do independently? What have you tried? Where do you get stuck?
Desired accomplishment
What specific outcome do you want to produce? How will you know you have succeeded?
Route
Which small tasks and concepts connect your starting point to the outcome?
Feedback and rerouting
What happened when you attempted the task? What needs to change in the learning plan?
Arrival
Can you demonstrate the target capability rather than merely describe it?
3. Try It Yourself: Build Your Learning Route
Open ChatGPT or another conversational AI assistant.
Choose a small, realistic destination. For example:
Destination: I want to create a chart showing monthly expenses and explain what it reveals.
Step 1 — Tell AI your starting point
Act as my practical learning navigator.
My current capability is: [describe what I can already do].
My desired accomplishment is: [describe the result I want to produce].
Ask me up to five diagnostic questions, one at a time, to understand my starting point.
Do not assume I know concepts I have not demonstrated.
Step 2 — Ask for the shortest useful route
Based on my answers, design a practical learning route to my destination.
Divide it into small milestones. Each milestone must include:
- One action I can perform
- One concept I need to understand
- One observable result
- One test of independent capability
Start with the smallest achievable task. Do not give me a long course syllabus.
Step 3 — Begin the first milestone
Perform the first task using your selected application.
If you are learning spreadsheet charts, you can use Google Sheets .
Create a small table with fictional monthly expenses, then attempt to produce a chart.
Step 4 — Report what happened
I attempted the first milestone.
Here is what I accomplished: [describe the result].
Here is where I struggled: [describe the difficulty].
Adjust my next learning step based on this evidence.
Explain only what I need to know next.
Step 5 — Test arrival
Create another chart using a different set of fictional data.
Attempt it without step-by-step AI instructions.
If you can produce and explain the chart, you have evidence of progress toward your learning destination.
4. What Makes This Different from a Course?
A conventional course usually provides a predefined sequence of lessons.
A learning navigation approach begins with the learner's present capability and a specific destination.
The route can change as the learner attempts tasks and receives feedback.
This does not replace structured education, expert instruction, or essential foundations.
It offers an additional method for practical, self-directed learning.
5. The Real Opportunity: Learnability as a Service
Imagine a learning service that does not begin by asking which course you want to enroll in.
Instead, it asks:
- What can you do today?
- What would you like to accomplish?
- What resources and time do you have?
- What have you already attempted?
- How will you demonstrate success?
AI could help assemble a personalized route, propose practical activities, explain concepts, and adapt recommendations as progress is reported.
Such a system would still require reliable assessments, appropriate safeguards, and human oversight where needed.
The idea is to make learning more responsive to the individual and the accomplishment.
6. Today's Accomplishment
Create your own Learning Navigation Card.
My starting capability: __________
My desired accomplishment: __________
My first milestone: __________
What I attempted: __________
What I discovered: __________
My next step: __________
Your first accomplishment is not completing an entire learning journey.
It is defining a destination, creating a practical route, and beginning the first milestone.
The Bigger Insight
Mobility helps us reach places. Learnability helps us reach capabilities.
Generative AI creates an opportunity to make learning more navigable, adaptive, and connected to accomplishment.
The learner still chooses the destination, evaluates the route, and does the learning.
AI can become a useful navigator. It should not replace the learner as the driver of the journey.
