Deep processing is a way of encoding information that creates strong, lasting memories by engaging with the meaning of what you’re learning rather than just its surface features. The concept comes from a 1972 theory proposed by psychologists Fergus Craik and Robert Lockhart, who argued that how well you remember something depends not on where it gets stored in your brain, but on how thoroughly you process it in the first place. When you actively connect new information to things you already know, analyze it, or evaluate it, you’re processing deeply. When you simply repeat it or notice what it looks like or sounds like, you’re processing shallowly.
Shallow vs. Deep Processing
The levels of processing framework describes a spectrum. At one end, shallow processing focuses on the physical or surface characteristics of information: what a word looks like on a page, whether it’s written in uppercase, or whether it rhymes with another word. At the other end, deep processing focuses on meaning: what a word actually refers to, how it connects to other concepts, and whether it’s relevant to you personally.
A classic example makes the difference concrete. If you’re shown the word “ocean” and asked whether it contains the letter E, you’re doing shallow processing. You’re scanning the word’s appearance without engaging with what it means. If instead you’re asked whether “ocean” is something pleasant, you have to think about what an ocean actually is, draw on personal experience, and make a judgment. That’s deep processing, and it produces dramatically better recall. In recognition tests, deep encoding improves the ability to distinguish previously seen words from new ones by more than double compared to shallow encoding.
Why Deep Processing Works
The key mechanism behind deep processing is something called elaborative rehearsal. When you encounter a new piece of information and deliberately connect it to memories and knowledge you already have, you’re building a web of associations around it. Each connection gives your brain another pathway to retrieve that information later. This is fundamentally different from maintenance rehearsal, which is the kind of repetition you do when you mumble a phone number to yourself over and over. Maintenance rehearsal can keep something in your short-term awareness, but it doesn’t do much to create a durable memory.
Research has shown that these two types of rehearsal affect different aspects of memory. Elaborative rehearsal strengthens your ability to genuinely remember something, to mentally travel back to the moment you learned it and reconstruct the experience. Maintenance rehearsal, by contrast, only produces a vague sense of familiarity. You might feel like you’ve seen something before without being able to place where or when. The difference matters: one gives you usable knowledge, the other gives you a hunch.
The Self-Reference Effect
One of the most powerful forms of deep processing is relating new information to yourself. When you ask “How does this connect to my own life?” you’re engaging what researchers call the self-reference effect, and it consistently produces better memory than even standard meaning-based processing. In recognition tests, people remember words encoded in relation to themselves significantly better than words encoded in relation to a celebrity or even a close friend. The effect is large and reliable across age groups.
This works because self-referential thinking forces you to draw on a rich, highly organized network of personal memories, beliefs, and experiences. When you process the word “courage” by thinking about a time you were brave, you’re activating dozens of interconnected memories at once. The new information gets woven into that existing structure, making it far easier to retrieve later. It’s the deepest end of the deep processing spectrum.
Deep Processing in Learning and Education
The levels of processing framework maps closely onto Bloom’s taxonomy, the classification system widely used in education to describe different levels of thinking. The lower levels of Bloom’s taxonomy (memorization and basic comprehension) correspond to shallow or surface-level processing. The higher levels (applying, analyzing, evaluating, and creating) require exactly the kind of meaning-based engagement that defines deep processing.
Students who habitually use a deep approach to learning, seeking to understand underlying principles rather than memorize isolated facts, perform better on questions that test higher-order thinking. Research in university anatomy courses has found significant positive correlations between deep learning approaches and accuracy on application-level and analysis-level questions. Interestingly, deep processors also performed well on lower-order questions, suggesting that understanding meaning doesn’t come at the expense of remembering details. It actually supports it.
How to Process More Deeply
You can deliberately shift toward deeper processing with a few practical strategies. The simplest is to ask yourself meaningful questions about whatever you’re trying to learn. Instead of rereading a textbook passage, ask why something works the way it does, how it compares to something you already understand, or what would happen if one element changed. Each of these questions forces you to engage with meaning rather than surface features.
Teaching material to someone else is another reliable method. Explaining a concept in your own words requires you to organize it, identify gaps in your understanding, and connect pieces together. Summarizing, creating analogies, and generating your own examples all push you toward the elaborative end of the processing spectrum. Even something as simple as pausing after reading a paragraph to ask “How does this relate to me?” activates the self-reference effect and strengthens encoding.
The common thread across all of these techniques is effort. Deep processing is slower and more mentally demanding than shallow processing, which is exactly why it works. The brain treats effortfully processed information as more important and encodes it more durably. Rereading your notes five times feels productive, but it’s largely maintenance rehearsal. Closing your notes and trying to reconstruct the material from memory, then checking what you missed, engages deep processing and builds the kind of memory that lasts.