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How to Use AI to Learn Any Subject Faster
AI & Education 1,910 words

How to Use AI to Learn Any Subject Faster

A practical framework for using AI to speed up learning in any subject. Smarter studying, not lazier studying.

GT
Gradily Team
February 23, 20268 min read
Table of Contents

TL;DR

  • AI can compress your learning time dramatically — but only if you use it as a thinking partner, not an answer machine
  • The EPIC framework: Explain, Practice, Identify gaps, Connect ideas
  • Use AI to generate custom practice problems, get instant concept explanations, and find your weak spots
  • Combine AI with proven study techniques like active recall and spaced repetition for the best results

Let's be real: learning new material takes forever. You sit through a lecture, re-read the textbook, stare at your notes, and still feel like nothing's sticking. Then the exam comes and you realize you don't actually understand half the material.

What if you could cut that learning time significantly — not by skipping material, but by studying smarter?

That's what AI can do when you use it right. Not as a cheat code that does your work for you, but as a learning accelerator that helps you understand concepts faster and identify gaps sooner.

Here's a practical framework I call EPIC. It works for any subject, any level.

The EPIC Framework for AI-Accelerated Learning

E — Explain It To Me Like I'm Five

The first step when you're learning something new is getting a clear explanation. And this is where AI absolutely shines.

Textbooks are written by experts who've forgotten what it's like to not understand their subject. Lectures move at one pace for 200 students. But AI can explain things at exactly your level.

How to do this:

  • Ask the AI to explain a concept in simple terms
  • If you don't get it, ask for an analogy or a real-world example
  • Ask "why does this work?" after every explanation
  • Request comparisons: "How is this different from [thing I already understand]?"

Example prompts that work well:

  • "Explain the Krebs cycle like I'm someone who understands basic biology but has never seen this before"
  • "What's the intuition behind derivatives? I get algebra but calculus seems like magic"
  • "Compare supply and demand curves to something from everyday life"

The key is being specific about what you already know and what you don't. This gives the AI context to pitch its explanation at the right level. Our guide on asking AI the right questions goes deeper into this skill.

P — Practice With Custom Problems

Here's something most students don't realize: you can ask AI to generate unlimited practice problems at exactly the difficulty level you need.

Your textbook has maybe 20 practice problems per chapter. AI can give you 200 if you want them, each one slightly different, targeting exactly the concept you're struggling with.

How to do this:

  • After learning a concept, ask for 5 practice problems at a beginner level
  • Work through them WITHOUT looking at the AI's solutions
  • Check your answers, then ask for harder problems
  • For problems you get wrong, ask the AI to explain where you went wrong

This is basically active recall on steroids. You're testing yourself (the most effective study technique) with an unlimited supply of custom problems and instant feedback.

Pro tip: Ask the AI to create problems that mix multiple concepts. These "interleaved" practice problems are proven to build deeper understanding than practicing one concept at a time.

I — Identify Your Gaps

This is where AI gives you something no textbook or lecture can: a diagnosis of what you don't know.

Most students have blind spots. You think you understand something until you hit a problem that exposes the gap. AI can help you find those gaps before your exam does.

How to do this:

  • Ask the AI to quiz you on a topic — but have it start with the fundamentals
  • When you get something wrong, don't just move on. Ask why that answer is wrong and what misconception you might have
  • Request a "knowledge map" — ask the AI to list the prerequisite concepts for a topic, then test yourself on each one
  • Tell the AI what you got wrong on past assignments and ask it to identify patterns

Example: "I keep getting stoichiometry problems wrong. Here are the types of mistakes I'm making: [describe mistakes]. What fundamental concept am I probably missing?"

This is way more efficient than re-reading an entire chapter when you only have a gap in one specific area.

C — Connect Ideas Across Topics

The difference between students who ace exams and students who struggle is often this: top students see connections between topics. They understand how ideas fit together. Students who struggle see each topic as an isolated thing to memorize.

AI is phenomenal at helping you see these connections.

How to do this:

  • After learning Topic B, ask: "How does this relate to Topic A that I learned last week?"
  • Ask for the "big picture" — "How do all the topics in Chapter 5 connect to each other?"
  • Request analogies between subjects — "How is natural selection similar to market competition?"
  • Ask the AI to explain how a concept you're learning now will be used later in the course

This turns isolated facts into a web of understanding. And webs are way easier to remember than lists.

Subject-Specific AI Learning Strategies

Math

Math is where AI learning works best. Here's the specific workflow:

  1. Watch your lecture or read the textbook section
  2. Ask AI to explain any concept you didn't fully grasp — with different examples than your textbook used
  3. Request practice problems that start easy and get progressively harder
  4. Work each problem on paper first, then check with AI
  5. For wrong answers, ask AI to show you exactly where your process went wrong

Gradily is built specifically for this kind of step-by-step math solving. It doesn't just give you the answer — it shows you every step and explains the reasoning.

Writing and Humanities

AI learning in humanities looks different from math:

  1. Use AI to brainstorm angles and arguments for essays
  2. Ask for counterarguments to your thesis — this strengthens your thinking
  3. Request summary explanations of complex readings
  4. Have AI quiz you on key themes, historical events, or literary devices
  5. Use AI to check your argument's logic — "Does this argument have any logical flaws?"

The goal isn't to have AI write for you. It's to use AI as a thinking partner that challenges and refines your ideas.

Sciences

For science courses:

  1. Ask AI to explain processes visually — "Walk me through photosynthesis step by step"
  2. Request practice problems that involve applying formulas to real scenarios
  3. Use AI to help you prepare for labs — understand procedures before you arrive
  4. Generate flashcards from your notes using AI
  5. Ask "what if" questions — "What would happen if we increased the temperature in this reaction?"

Common Mistakes Students Make with AI Learning

Mistake #1: Passive Reading

Reading an AI explanation is not the same as understanding it. If you just read without engaging — without trying problems yourself, without questioning — you're not learning. You're consuming content, which feels productive but isn't.

Fix: After every AI explanation, close the tool and try to explain the concept out loud in your own words. If you can't, go back and reread.

Mistake #2: Skipping the Struggle

Learning happens when your brain struggles with something. It's uncomfortable, but that's the point. If you ask AI for help the moment things get hard, you rob yourself of the struggle that creates deep understanding.

Fix: Try every problem for at least 5-10 minutes before asking AI for help. Let yourself be stuck. Then ask for a hint, not the full answer.

Mistake #3: Not Verifying

AI can be wrong. It can sound confident while giving you incorrect information, especially for niche topics or cutting-edge subjects.

Fix: Cross-reference AI explanations with your textbook and lecture notes. If something seems off, it probably is.

Mistake #4: Forgetting the Fundamentals

AI helps you learn concepts, but it doesn't replace the foundational study habits that actually make knowledge stick:

  • Spaced repetition for long-term memory
  • Active recall for deeper processing
  • Teaching others (the best way to solidify understanding)
  • Consistent practice over time

AI accelerates learning. These techniques make it permanent.

Building Your AI Learning Routine

Here's a practical weekly routine that combines AI learning with proven study methods:

Daily (15-20 minutes)

  • Review yesterday's material using spaced repetition flashcards
  • Use AI to clarify any concepts that feel fuzzy from class
  • Do 3-5 practice problems with AI-generated questions

After Each Lecture

  • Spend 10 minutes asking AI to explain the hardest concept from that class
  • Generate 5 practice problems and work through them
  • Connect today's topic to previous material: "How does this relate to what we learned last week?"

Before Assignments

  • Use AI to review relevant concepts (don't use it to do the assignment)
  • Generate practice problems similar to the assignment
  • Identify which parts of the assignment you'll struggle with and study those first

Weekly Review (30 minutes)

  • Ask AI to give you a comprehensive quiz on the week's material
  • Identify gaps and add those to your study plan
  • Create connections between this week's topics and previous weeks

Before Exams

  • Use AI to simulate exam conditions: "Give me a 20-question practice test on Chapters 5-8"
  • Focus extra time on areas where you consistently score low
  • Ask for explanations of concepts you've flagged as weak

The Mindset Shift

The students who get the most out of AI learning share one mindset: they use AI to understand more deeply, not to do less work.

That might sound like the same thing, but it's not. Using AI to understand a concept in 20 minutes instead of 2 hours isn't laziness — it's efficiency. You still did the work of understanding. You just cut out the inefficient parts (re-reading confusing textbook passages, watching YouTube videos hoping someone explains it clearly).

The goal is to redirect the time you save into more practice, more review, and more connections between topics. That's how you go from "I kind of get it" to "I own this material."

Tools to Get Started

You don't need a dozen apps. Start with one or two:

  • Gradily — Purpose-built for homework help and step-by-step learning
  • Flashcard tools with AI — Anki + AI-generated cards for memorization
  • Your existing note-taking app — Use AI to organize and review your notes

The tool matters less than how you use it. A student who applies the EPIC framework with any decent AI tool will outperform a student who has the fanciest tools but just copies answers.

Bottom Line

AI won't learn for you. But it can make your learning dramatically more efficient. The EPIC framework — Explain, Practice, Identify gaps, Connect ideas — works for every subject and every level.

Start using it today. Pick one subject where you're struggling, spend 30 minutes applying this framework, and see how it feels. My bet? You'll understand more in that 30 minutes than you did in your last three textbook reading sessions combined.

The students who figure this out early are going to have a serious edge. Don't let that be someone else.

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