How does "Elaborate new information with examples, images, and stories" work?

Elaboration extends the depth of processing by weaving new information into an existing network of memory traces. A vivid, personally relevant example creates a unique encoding context that serves as a retrieval cue later, because no two people elaborate in exactly the same way — your elaboration is distinctive to you and to that moment. The image or story also provides a parallel visual-spatial encoding pathway alongside the semantic one, creating redundant retrieval routes.

How does "Explain the material to someone else — real or imagined" work?

Teaching activates multiple deep-processing demands simultaneously: you must retrieve the information, organize it coherently (which reveals structural understanding), generate examples accessible to a non-expert, and monitor whether the explanation is making sense — all of which require semantic processing far deeper than reading or re-reading. The Protégé Effect (documented by Chase et al.) shows that even preparing to teach someone else improves learning before any actual teaching occurs, suggesting the encoding benefit is in the anticipation of explanation.

How does "Link new information to your own life and identity" work?

The self-reference effect (Rogers, Kuiper & Kirker, 1977) showed that words and concepts judged for self-relevance ("Does this describe you?") were remembered substantially better than those judged for structural or semantic properties alone. The mechanism is that self-related information is uniquely integrated into an extensive, well-organized, and frequently activated memory structure — the self-concept — providing the richest possible web of retrieval paths.

How does "Generate questions before reading to drive deep processing" work?

Reading with a question in mind converts passive text processing into active hypothesis-testing: the reader is searching for specific information, comparing each passage to the question, and evaluating relevance. This goal-directed processing activates more semantic analysis than reading to "absorb" or "get through" the material, because each sentence is evaluated for its relationship to a meaningful goal rather than processed in isolation.

How does "Ground abstract concepts in concrete, physical instances" work?

Dual coding theory (Paivio, 1971) and levels-of-processing research converge on this: concrete information activates both verbal and imagistic memory systems simultaneously, while abstract information activates primarily the verbal channel. The additional imagistic encoding provides a parallel retrieval route, making concrete memories more retrievable. This is why concrete nouns are remembered better than abstract ones in free recall, and why specific examples are remembered far longer than general principles stated without them.

Craik & Lockhart

How does the depth at which you process information affect how well you remember it?

Shallow vs. deep encoding, elaboration, and the practical techniques that drive durable memory

Short answer

Craik and Lockhart’s (1972) levels of processing framework proposes that memory is a by-product of the type of processing performed on incoming information: shallow processing (appearance, sound) produces weak, short-lived traces, while deep processing (meaning, elaboration, connection to prior knowledge) produces strong, durable ones. The implication for learning is that how you engage with material matters more than how many times you see it.

Most forgetting is not about memory capacity — it is about encoding depth. Rereading notes creates shallow traces through perceptual familiarity; explaining a concept to someone else creates deep traces through semantic elaboration and self-generation. Craik and Lockhart gave this distinction a theoretical framework in 1972, and the implication has been replicated across decades of research: it is not how often you see something but what you do with it that determines whether it stays. The practices below operationalize depth-of-processing for everyday learning.

The practices (6)

Why it works

Craik and Lockhart proposed that encoding depth is determined by the level of analysis: structural (visual/orthographic), phonological (sound), or semantic (meaning). Semantic processing activates a far wider network of associations in long-term memory, creating more retrieval pathways for the new trace. The more existing knowledge a new item connects to, the more routes exist to reach it during retrieval — making it both more durable and more flexibly applicable.

How to do it

1When encountering new material, resist writing it down immediately. Instead, ask: "What does this mean? How does it work? Why is it true?"
2Connect the new information to at least two things you already know before moving on.
3If you cannot connect it to anything, it likely needs a simpler prerequisite first.
4Use your own words when recording the material — paraphrase, do not transcribe.

Evidence

RCT / meta-analysis

Craik and Lockhart (1972) and Craik and Tulving (1975) provided experimental evidence that semantic processing produced substantially better retention than structural or phonological processing, using incidental learning paradigms where participants did not know they would be tested.

Honest caveat: The original "levels" metaphor has been revised; researchers now prefer "depth of elaboration" to avoid implying a strict linear hierarchy. The core finding — that semantic/elaborative processing beats surface processing — remains robust.

— Craik & Lockhart (1972), Levels of processing: A framework for memory research, Journal of Verbal Learning and Verbal Behavior
— Craik & Tulving (1975), Depth of processing and the retention of words in episodic memory, Journal of Experimental Psychology: General

Common mistake: Highlighting or annotating material based on visual salience (bold text, color) rather than semantic significance, which processes form rather than meaning and produces shallow traces.

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