Study Techniques Backed by Science: How to Learn Faster

Every student has experienced the frustration of studying for hours only to forget most of what they learned when it matters most. The good news is that decades of cognitive science research have identified study techniques that actually work. These evidence-based methods are far more effective than the strategies most students instinctively use, such as rereading notes or highlighting textbooks. In this post, we will explore the most effective study techniques backed by science and show you how to apply them to your AP exam preparation.

Spaced Repetition

Spaced repetition is one of the most powerful learning techniques ever discovered. The basic idea is simple: instead of cramming all your studying into one marathon session, you spread it out over time with increasing intervals between review sessions. This works because of how memory consolidation works in the brain. When you first learn something, the memory is fragile and fades quickly. But each time you retrieve that memory, it becomes stronger and more resistant to forgetting.

The optimal spacing schedule depends on how well you know the material. For new material, you might review it after one day, then three days, then seven days, then fourteen days. As the material becomes more familiar, the intervals can be extended. This is the principle behind flashcard systems like Anki, which automatically schedule reviews based on how well you know each card. Research consistently shows that spaced repetition produces significantly better long-term retention than massed practice (cramming).

Active Recall

Active recall, also known as retrieval practice, is the technique of actively retrieving information from memory rather than passively reviewing it. Instead of rereading your notes, you close them and try to recall the key concepts from memory. This effortful retrieval strengthens the memory and makes it easier to recall in the future.

The testing effect is a well-documented phenomenon in cognitive science: taking practice tests on material produces better learning than simply restudying the material. This is counterintuitive to many students, who view tests as a way to measure what they have already learned rather than as a learning tool in themselves. Research by Jeffrey Karpicke and Janell Blunt has shown that retrieval practice produces significantly better learning than elaborative studying, concept mapping, and many other popular study techniques.

You can implement active recall in several ways. Flashcards are a simple and effective tool. When you look at the front of a card, try to recall the answer before flipping it over. Practice problems are another excellent form of active recall. When you solve a problem, you are actively retrieving and applying knowledge. Even simply closing your notebook and writing down everything you remember about a topic is a form of active recall.

Interleaving

Interleaving is the practice of mixing different topics or types of problems during a study session, rather than focusing on one topic at a time (a strategy called blocking). For example, instead of spending an hour practicing only loop problems, you would mix loop problems with conditionals, arrays, and method calls. Interleaving feels harder and less productive than blocking, but research consistently shows that it produces better long-term learning and transfer.

Why does interleaving work? One reason is that it forces you to identify the type of problem before solving it, which is a critical skill on exams where problems are mixed together. When you practice with blocking, you already know what type of problem you are solving. On an exam, you do not have that luxury. Interleaving also helps you build connections between different topics, leading to a deeper, more integrated understanding of the material.

Elaborative Interrogation

Elaborative interrogation involves asking yourself why questions about the material you are studying. Instead of simply memorizing that a fact is true, you ask yourself why it is true and how it relates to other things you know. For example, instead of memorizing that encapsulation is a principle of OOP, you ask yourself why encapsulation is important and how it improves software design.

This technique works because it forces you to process the material at a deeper level. Deep processing, as described by Craik and Lockhart's levels of processing framework, leads to stronger, more durable memories than shallow processing. When you elaborate on new information by connecting it to existing knowledge, you create more retrieval cues that help you access the memory later.

Dual Coding

Dual coding is the technique of combining verbal and visual representations of information. Research by Allan Paivio has shown that information encoded in both verbal and visual forms is more memorable than information encoded in only one form. This is because the brain has separate systems for processing verbal and visual information, and using both systems creates two distinct memory traces.

In practice, dual coding means creating diagrams, charts, mind maps, and other visual representations to complement your written notes. When studying data structures, for example, draw diagrams showing how the data is organized in memory. When studying algorithms, create flowcharts showing the step-by-step process. These visual representations provide an alternative way to access the information and help you understand relationships that might not be apparent from text alone.

The Feynman Technique

The Feynman Technique, named after physicist Richard Feynman, is a study method based on the idea that you truly understand something only when you can explain it in simple terms. The technique has four steps: choose a concept, explain it as if you were teaching it to someone with no background in the subject, identify gaps in your understanding, and go back to the source material to fill those gaps.

This technique is particularly effective for computer science concepts. If you can explain how a binary search algorithm works to a friend who has never programmed, you have a deep understanding of the algorithm. If you stumble or resort to jargon, that indicates gaps in your understanding that you need to address. Teaching is one of the most effective learning strategies because it forces you to organize your knowledge and identify what you do and do not understand.

What Does Not Work

It is worth noting what the research says does not work. Rereading notes and textbooks is one of the most common study strategies, but it is one of the least effective. The familiarity created by rereading gives students an illusion of knowing, but it does not produce the deep processing needed for durable memory. Highlighting and underlining are similarly ineffective. They may help you focus your attention, but they do not require the effortful processing that leads to strong memories.

The most effective study techniques require effort. Active recall is harder than rereading. Interleaving is harder than blocking. Spaced repetition requires planning and discipline. But the research is clear: the techniques that feel the most productive are often the least effective, and the techniques that feel the hardest are often the most effective. Embrace the struggle, and your future self will thank you.