SAM is a 3-part system:

Prepare (10 min read)
Learn (20 min read)
Study (90 min read)

Prepare (this page) is my gift to you. I tried to pack it with usefulness, so it's a bit dense. But don't worry, there’s a summary at the end.

Prepare

With just a few minutes of preparation before a lecture, reading, or video, you can save yourself hours in the future.

Pre-learning begins a cycle. It makes learning more effective. More effective learning makes studying more effective. And more effective studying makes future learning more effective. And so on.

Pre-learning works in two main ways:

1. Reduced cognitive load

Humans can only consciously process about four items at once [1]. When you learn something new, this limited space is quickly filled with unfamiliar concepts, new terminology, etc.

If you’ve seen things before, they require less working memory capacity to process [3].

So you can save space by memorizing key terms and concepts before learning. But it's not the most efficient way. If you build a strong overview, you make every part of the topic easier to process at once. And it takes less time. I'll describe how to do that below.

This freed-up bandwidth allows you to actively process what's being taught, rather than getting bogged down in unfamiliar details.

2. Sharper selective attention

Pre-learning helps you subconsciously focus on what matters. Since your processing power is so limited, your brain needs to be careful what it pays attention to.

Pre-learning first gives it a "head start", allowing it to optimize this limited capacity ahead of time. After encountering the topic, your brain works in the background to filter and prioritize relevant information [4].

These two benefits above work synergistically. Your brain both saves processing power and spends the remainder optimally. But we're just getting started.

Retrieval-based pre-learning

While any form of pre-learning grants these two benefits, retrieval-based pre-learning maximizes them.

Retrieval-based pre-learning means starting by recalling what you know about the topic already, rather than being passively exposed to it.

Even if you fail to remember anything, it's perfectly fine. The act of trying to remember is the important part: it prepares your brain to connect new ideas more robustly than through passive review [5, 6]. You can imagine that your memories are becoming "moldable" like soft clay.

Recalling a topic from memory also makes it abundantly clear what you know and what you don't.

In short, you're set up perfectly to build a strong overview of the topic. You know where your gaps are, and your brain is primed and ready to integrate the correct knowledge when you read it.

The best way to prepare is to practice the kind of thinking you’ll need on the exam. You won’t always know the right answer, especially early in the semester, and that’s okay. Take an educated guess—something is better than nothing.

Luckily, 99% of classes fall into the following two categories:

Fact and concept-based (e.g., biology, history, anatomy) — where success depends on recalling and understanding
Application-based (e.g., chemistry, math, physics) — where success depends on working through problems and applying processes

Here's how to prepare for both of these types of classes:

Facts and concepts: free recall

For classes that expect recall and understanding, spend a few minutes writing or reciting everything you know (or think you know) about the topic from memory. It's called free recall, and it's extremely powerful and versatile. Since we're following up with feedback, even partial or incorrect recall improves learning [7].

Building a big picture overview is better than trying to memorize as many details as you can. It's faster, and it makes all the knowledge easier to integrate at the same time.

To get a strong overview of the topic, answer these two questions:

What are the main components of this topic, and how do they interact?
How does this topic connect to the bigger picture of this course?

Even a basic understanding of the big picture pays dividends. Findings indicate that understanding the overarching idea allows students to process new information with significantly less cognitive load [13, 14].

Lastly, look up an actual overview of the topic to correct your current understanding and ensure you have good answers for the two big-picture questions above. A Google search or an AI-generated query will work just fine. This corrected understanding will be strongly encoded since it follows retrieval [8].

Here's an example to help you visualize this process. Imagine you’re about to go to a lecture about cell signaling pathways for your biology course. After reciting what you know, you answer the two questions as best you can:

Q: What are the main components of cell signaling, and how do they interact?

Q: How does this cell signaling connect to the bigger picture of biology?

Then you do a quick Google search to correct your understanding. Here's what you got:

A: Key components include receptors, second messengers, and downstream effectors. They all interact to transmit and amplify signals.

A: Cell signaling explains how cells communicate and respond to their environment, which is fundamental to understanding physiology and disease.

An abstract depiction of your big-picture understanding of cell signaling after answering each of the two questions.

In the above example, your understanding is imprecise and bare-bones. That's exactly what we want: lean and efficient preparation. You'll work out the details when you're actually learning. And when that time comes, these big-picture connections will pay dividends.

Problem-solving: two practice problems

For application-based classes like math or chemistry:

Attempt two problems before the lesson.
Check each answer against a worked solution.
Explain the "why" behind each step as you go

Why two problems? One gives you a first exposure: you see the surface mechanics. The second forces you to test whether you’ve actually learned the pattern rather than just mimicking an example.

Findings indicate that even a small amount of variation in practice helps you understand the general structure of a problem type instead of just the details of one solution [9].

And worked solutions are vital. A meta-analysis of 55 studies has found that viewing worked examples had a moderately positive effect on future learning [22]. It's especially important to verify your understanding of procedures after trying them, to avoid reinforcing incorrect methods.

A good place to find worked solutions is a textbook, or my personal preference: a YouTube tutorial. You can find a step-by-step walkthrough of any type of problem on YouTube. It's not always easy to find a great worked example, so do your best.

Procedural practice is even more effective when you explain your reasoning step-by-step — especially the conceptual "why" behind each move. Experimentally, students tasked with self-explanation outperform non-explainers in [19]. This plain-language reasoning does three things:

makes the underlying principles more salient
helps you notice mismatches between your conceptual understanding and the mechanical steps you're using to solve the problem [15].
It engages both visual and verbal channels of your working memory. It's a bit more nuanced, but essentially, explaining while you solve lets you process more information at once. And it creates both a visual and a verbal memory to recall later, rather than just one [23].

The effect size of procedural self-explanation can be staggering. Consider a study in which students were tasked with solving a logic puzzle in one of three ways and then were asked to solve an abstract version of that puzzle designed to test their understanding [21].

The control group (no self-explanation) averaged 28% accuracy in the abstract task.
The retrospective self-explanation group (explained after solving each problem) averaged 68% accuracy.
The concurrent self-explanation group (explained while solving each problem) averaged 90% accuracy.

Wow! These types of transfer questions are tests of deep understanding, the kind that tend to trick students on real exams. A jump from 28%->90% for these questions can make a stunning difference on your next physics exam. We'll certainly keep this in mind down the line.

One more benefit of retrieval

Retrieval-based pre-learning also builds metacognitive awareness—you can clearly see what you don't know. When you enter the you know where to focus to fill those gaps [10].

This "conscious focus" effect works in parallel with the unconscious selective attention mentioned above. Both your conscious and unconscious systems work together to guide your focus.

This metacognitive awareness also helps you avoid falling behind. It turns vague confusion into clear, specific questions, helping you avoid the common trap of “I don’t get it and I don’t know why.”

Prepare: why it works

Core Benefits of Pre-learning

Reduced Cognitive Load (Free up mental space)
Sharper Selective Attention (Subconsciously focus on what matters):
Temporary Neural Plasticity (Make learning stick)

Retrieval-Based Pre-learning (Most Effective Form)

Effortful Reconstruction (Actively recalling information):
Error-Driven Correction (Checking against a reliable source):
Metacognitive Awareness (Consciously know your gaps before learning begins)

Declarative Knowledge Pre-learning (Concepts & Facts)

Framework Activation (Understanding headings, key ideas, or general gists)

Procedural Knowledge Pre-learning (Problem-Solving / Skills)

First Attempt Exposure (Activate procedural schema):
Second Attempt Variation (Force generalization, not repetition):
Worked Example Feedback (Clarify structure & fix mistakes):
Procedural Self-explanation (metacognition + dual coding)

Prepare: an actionable summary

Before learning: Retrieval-based pre-learning. Practice whichever skill is being assessed in the course. Then check your performance with feedback.

Fact and concept-based:

Free recall: write/say everything you think you know about the topic to be studied
Answer 2 questions to build a big-picture framework
- How does this topic connect to the bigger picture of this course?
- What are the main components of this topic, and how do they interact?
Check your understanding against an overview of the topic

Application-based:

Attempt 2 practice problems.
Review each with a worked solution to spot gaps.
Explain the "why?" behind each step

Pre-learning is the fastest way to save hours in the future. If you don't do it already, it's an untapped goldmine. If you actually try it before your next lecture or reading, I bet you'll feel the difference.

Continue

References:

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