Have you ever had moments when you didn’t even know what questions to ask?

One of the key abilities in #EffectiveLearning is the power to ask deep, meaningful questions.

Here are two common reasons why people struggle with it 👇🏻

1️⃣ Lack of clarity or limited understanding

You can’t find the ‘gap’ in the information.

Sometimes it’s a language limitation, sometimes a cognitive one.

You only grasp the surface, not the structure beneath it,
so you end up asking vague or shallow questions.

2️⃣ Limited exposure to the field

You receive a piece of information but don’t know where it fits within the larger discipline.

You can’t judge its validity, whether it’s been challenged, or how it connects to other theories.

So your questions often turn out misaligned or irrelevant.

🔓 Both of these challenges can be solved!

Before turning to AI tools for answers, Amy recommends starting with a ‘small-to-big’ approach when developing your critical thinking muscles.

A full research paper feels too complex?

Then focus on just one section, say, the Methodology or Literature Review.

Even that can be broken down further: just look at the experimental design inside the methodology.

🌟 Now use Bloom’s Taxonomy to guide your thinking:

– Low-order thinking: identify the details of the design

– Mid-order thinking: analyse why the design was built this way

– High-order thinking: evaluate and compare it with other methods:
‘is it more efficient? more accurate? more insightful?’

Once you truly understand one small piece, then you can confidently ask AI or mentors to verify and deepen your insight.

👉🏻 When forming a question, ask yourself:
What aspect of this specific content am I truly curious about?

That’s where meaningful inquiry begins.