Learn as You Do #002 — Stop Preparing to Learn. Start Doing with AI.

AIYING | LEARN AS YOU DO #002

Stop Preparing to Learn. Start Doing with AI.

What if your next learning experience began with an accomplishment you have not yet learned how to achieve?

From AI Awareness to Accomplishment

The Familiar Learning Sequence

We normally approach a new subject through a familiar sequence:

Study → Practise → Apply

First, we collect information. Then we practise what we have learned. Finally, we attempt something useful.

This sequence remains valuable, especially when foundational knowledge, safety, or professional competence is essential.

But for many everyday digital tasks, there is another possibility.

PO: Begin Before You Know How

Suppose we reverse the conventional sequence.

PO: Start the task before completing the learning required for it.

This is a deliberate provocation, not an instruction to ignore risks or necessary preparation.

Its purpose is to challenge one assumption: that learning must always precede application.

What becomes possible when we use AI to support learning during the task itself?

A Different Learning Loop

ATTEMPT → DISCOVER → LEARN → IMPROVE → ACCOMPLISH

The task becomes the starting point. Learning happens when a real need appears.

1. Attempt

Choose a small, achievable task, even if you do not know every step.

2. Discover

Identify what you cannot yet do. Your difficulties become learning questions.

3. Learn

Ask AI to explain only what is needed for the next step.

4. Improve

Apply the explanation and revise your work. Check the results rather than assuming the AI guidance is correct.

5. Accomplish

Produce a usable result and record what you learned while creating it.

Try It Yourself: Build a Simple Web Page

Imagine you have never written HTML. Instead of beginning with a lengthy HTML course, try creating a useful page.

Today's task: Create a personal learning dashboard containing three learning goals.

You need only a browser, a text editor, and an AI assistant.

Open ChatGPT and enter the following prompt.

Prompt 1 — Begin the task

I want to create a simple personal learning dashboard as a web page.

I have no prior HTML experience. Help me create a single HTML file with:

• A heading: My Learning Dashboard
• Three learning goals
• A checkbox beside each goal
• A short reflection section

Give me complete working code. Explain how to save it and open it in my browser. Keep the instructions beginner-friendly.

Step 1 — Generate the code

Read the instructions and copy the HTML provided by the AI assistant.

Step 2 — Create the file

Open Notepad or another plain-text editor. Paste the code.

Save the file as learning-dashboard.html. In Notepad, select "All Files" as the file type to avoid saving it with a .txt extension.

Step 3 — Open the page

Double-click the saved HTML file. It should open in your browser.

If something does not work, copy the relevant code and describe the problem to your AI assistant.

Step 4 — Learn what you just used

Prompt 2 — Learn from the work

Explain the HTML elements used in this dashboard.

Focus only on the concepts I need to understand and modify this page.

Show me which lines control the heading, learning goals, checkboxes, and reflection area.

Step 5 — Improve it yourself

Change the heading. Replace the example goals with your own. Add a fourth learning goal.

Save the file and refresh the browser.

You have now moved from using generated code to making your own changes.

Check Your Accomplishment

• Does the HTML page open in your browser?
• Are your learning goals visible?
• Can you select the checkboxes?
• Can you change the page content yourself?
• Can you explain at least three HTML elements?

A basic checkbox can be selected without saving its state between visits. Persistent progress tracking would require an additional feature.

What Have You Actually Learned?

You may have learned about HTML tags, file extensions, browsers, and basic page structure.

But something more important may have happened.

You discovered what you needed to learn because you were trying to accomplish something.

Your learning questions emerged from the task rather than from a predetermined syllabus.

The Bigger Insight

Do not wait until you know everything to begin something. Begin something small, and discover what you need to know.

Generative AI can make this approach more accessible by offering explanations, examples, feedback, and troubleshooting while we work.

But learning still requires attention, verification, experimentation, and reflection.

AI can help produce the first version. Your understanding grows when you inspect, question, modify, and test it.

Today's Accomplishment

Create one functioning personal learning dashboard and make at least one change without copying a completely new version from AI.

Record three things:

1. What I accomplished
2. What I learned while doing it
3. What I can now do independently

That is the beginning of cumulative AI-assisted learning.

AIYING — From AI Awareness to Accomplishment

Learn as You Do explores how practical tasks, reflection, and AI assistance can turn everyday accomplishments into opportunities for continuous learning.

AIYING | Ravindra Dastikop