By: Afsheen, Ant, Austin, Akoni
Most students assume that memory is like a recording device where if you capture everything accurately, you’ll assume you’ll be able to perfectly reproduce it later. Notes become more like transcripts, studying turns into rereading and effort is measured by the amount of information put on the page. The problem is that this approach ignores how memory actually works and leaves all the gains on the table. The brain is not built to store everything it receives, it is built to filter, compress, and reconstruct meaning.
When too much information is given at once, the attention span is stretched and nothing is processed deeply enough to be retained. It can feel productive in the moment as the pages are filled and the lectures are documented, but very little of it becomes usable knowledge. Instead the mind is so busy managing the input it's not shaping it into something meaningful, and if it's not meaningful there's no reason for it to be remembered.
Real learning requires slowing information down, summarizing, and transforming it into something that fits with what you already understand, and without this, information will stay more fragile and disconnected. This creates a paradox where the more you try to capture everything, the less you actually keep. And the more you simplify, reorganize and interpret, the more stable your memory becomes.
This section will help you understand this tension by exploring how the cognitive mechanisms behind learning, such as the cognitive load theory, selective attention, schemas, and dual coding, strengthen learning and memory, as well as helping build strategies that will lead to stronger and more efficient memory in the future.
At the core of the “less is more” idea is cognitive load theory which explains that our working memory has a limited capacity. At any given moment the brain can only actively process a small amount of information before becoming overloaded (van Kesteren & Meeter, 2020). When too much information is presented at once, such as trying to write down every word of a lecture, the brain shifts its resources toward managing that input rather than understanding it.
Cognitive load is often broken into three types. Intrinsic load refers to the inherent difficulty of the material itself. Extraneous load comes from how information is presented such as cluttered slides or trying to multitask while learning. German load is the productive effort used to actually understand and organize information. When students try to capture everything they increase extraneous load and reduce the mental resources available for germane processing, the kind that actually builds memory (van Kesteren & Meeter, 2020).
This helps explain why more information can actually lead to worse learning. Instead of strengthening memory, overload prevents the brain from forming meaningful connections leaving information shallow and easily forgotten (van Kesteren & Meeter, 2020). Dunlosky et al. (2013) also found that ineffective learning strategies involving too much unstructured information are less effective for long term learning and retention.
Another key mechanism behind this paradox is selective attention, or the brain’s ability to focus on certain information while filtering out the rest. Memory does not begin with storage, it begins with attention. If something is not attended to it is unlikely to be encoded at all.
When students try to divide their attention across too many inputs; listening, typing every word, or checking devices, they weaken their ability to focus on what actually matters. Research inspired by Bartlett’s work shows that memory is reconstructive, meaning we actively interpret and organize information rather than passively record it (Wagoner, 2017).
Because attention is limited, trying to focus on everything results in focusing on nothing deeply. Effective learning depends on prioritizing key ideas not capturing every detail (van Kestern & Meeter, 2020). By narrowing attention learners can process information more meaningfully which strengthens encoding.
These mechanisms come together in what we call encoding paradox: the more effort you put into recording information exactly as presented the less likely you are to remember it. In contrast, reducing information through summarizing actually improves memory.
When students copy notes verbatim they engage in shallow processing, focusing on surface features like words and structure. This creates the illusion of learning but the information is not being encoded. On the other hand summarizing requires deep processing, you must interpret, reorganize, and connect the material to what you already know. This aligns with research on knowledge construction which shows that memory improves when new information is integrated into existing schemas (Flanigan et al., 2024).
This is why handwriting notes often outperform typed notes. The slower pace forces learners to filter and transform information rather than transcribe it (van Kesteren & Meeter, 2020). The act of simplifying information reduces cognitive load and increases meaningful engagement making the memory more stable and accessible later (Rubin, 2005).
While many students dream of the mythical ‘photographic memory’ that would yield a perfect recollection of course content, that is not the way the human brain works. However, all hope is not lost; there are a variety of effective strategies to improve memory outcomes, as well as some common pitfalls students fall into.
Handwritten Notes and Deeper Processing
The first step learners can take to increase their memory of learned content is to move away from typed notes. While typed notes allow students to transcribe lectures and benefit note quantity across the board, it actually harms memory. In a meta-analysis of 24 studies a team of researchers discovered that handwritten notes lead to higher performance in college students. Evidence suggests that handwritten notes encourage deeper processing of the source content than typed notes.
This is because the limited amount of time to hand write notes requires students to write in their personal style and paraphrase information leading to deeper processing. Additionally, handwriting allows students to copy down images included in lecture much more easily. Don’t worry tablet users, handwritten notes on a digital device performs just as well as pen and paper. (Flanigan et al., 2024).
Schema and Meaning Making
A look back in time can yield another strategy for increased student success. In the early 20th century Cambridge psychologist Sir Frederic Bartlett proposed the idea that all mental processes involve seeking effort after meaning. This means people connect information they are presented with into preexisting knowledge structures called schema.
This basic principle can be applied to better integrate knowledge one wishes to remember with what one already knows. Through this it is possible to teach the brain what information is important and therefore, more memorable. (Wagoner, 2017)
Connecting to prior knowledge
A rather simple method for integrating the content of lecture or reading notes into existing schemas is through elaboration. This could look like writing a few reflection or summary questions at the end of a section of notes. Questions should address what information is familiar and how the content of the notes connects to other topics. Reactivating old memories while studying new information will help with integration making it less likely to fade. (Van Kesteren & Meeter 2020).
Narrative as a Memory aid
Other possible memory aids can be found in the educational past. As students move through their educational journey, narrative texts begin to disappear and are replaced with expository readings. While exposition is an effective style for communicating information, the human brain loves narrative. Narratives more closely mirror our everyday lives, have been present throughout human history, and the developmental importance of narratives make them more memorable.
Research shows that narrative stories are both better recalled and more easily comprehended by readers. This means that converting course material into a story could be a fun and effective way to study. (Mar et al., 2021)
Now that one is prepared with wonderfully paraphrased and personalized handwritten notes, written and answered reflection questions that connect the information to prior knowledge, and maybe even written a compelling story about the content, what are the best ways to prepare to apply this knowledge before an exam? In a review of ten learning techniques researchers identified the two highest utility and two lowest utility techniques. Unfortunately for many students highlighting and rereading, the two most commonly used tactics, had the least utility. While still helpful, these strategies should not be relied upon exclusively.
The two best learning techniques are practice testing and distributed practice. Practice testing involves low stakes self initiated study of material. The above advice, such as engaging in elaborative review questions are an example of this strategy. Other examples include flashcards, practice problems, or the questions often found at the end of textbook chapters. Next, distributed practice is shorter but more regular study questions. It is far more effective to do 10 practice questions a day for 10 days than it is to do 100 questions in a single session. The act of repeatedly accessing the information notifies the brain that that content is of importance and should be stored. See more about how to apply all of this information in the applications and mini experiments section. (Dunlosky et al., 2013).
Creates a false sense of familiarity. It feels easy, but you're not actually testing your memory.
Your brain isn't processing meaning, it's just copying information, even though it feels like a lot.
Overloads your brain and doesn't give enough time for information to stick
These methods don't force the brain to organize or make sense of the infomration. Without that processing, information is stored weakly and easily forgotten.
Forces you to understand and simplify the information.
Makes memory stronger by linking ideas together, and with pre-existing schemas.
Makes abstracts ideas easier to understand and remember. If you give it meaning your brain will prioiritize it.
These methods on the other hand make the brain organize, reshape and reconnect the information. This leads to stronger storage and makes it easier to remember later becase the information is stored ina more meaningful way.
What you’ll expect to find:
The narrative text should result in better and more accurate free recall and expository should result in better multiple choice scores.
This is because narratives provide structure (beginning, middle and end) that our brains love, reduces cognitive load and links ideas together for easier retrieval. Expository texts are more fact based and makes it more difficult to recall freely, but is easier to answer when given cues (e.g., MC tests)
Memory isn’t just about how much you study but how the information is structured when you study. Next time you have a free recall exam keep in mind that transforming the expository text into a narrative form will likely lead to better and more accurate retrieval during your test.
Expository vs narrative
Goal: test whether narrative (story-based) or expository (informational) text leads to better memory and what kind of memory each supports
Materials: Choose two unfamiliar topics and find a similar length and reading level article for each topic (e.g., black holes, wild birds, ADHD, ice hockey). Keep one of the articles and keep it in the expository format that it is, then take the other and convert it into a story using an AI generator.
Independent Variable: The test format: Expository (textbook-style) vs Narrative (written like a story)
Dependent variable: Score on multiple choice test (out of ten) and free recall. The MC tests can be AI generated for each of the articles.
Day 1: baseline (no preparation)
Take a free recall and multiple choice test for both topics (narrative and expository), where you write as many things down about the topic as you can then take an MC test on the topics.
Day 2: Expository Recall
Read the expository version then afterwards put the text away and complete a free recall test.
Day 3: Expository MC
Take a multiple choice test on the same topic.
Day 4: Narrative Free recall
Read the narrative version, then take a free recall test.
Day 5: Narrative MC
Take the multiple choice test
To grade free recall, write how many complete ideas you wrote then how many incorrect ideas you wrote
Akoni
Hey, my name is Akoni Arruda, and I am a Philosophy Major. To me the class felt really useful as a result of working on this assignment. We applied concepts to real-world scenarios, such as how students study, rather than simply explaining them. It demonstrated to me how minor adjustments to your learning style may have a significant impact. The most important lesson I learned is that memory depends not only on effort but also on how you process information.
Afsheen Alijani
Hello, my name is Afsheen Alijani and I am a freshman psychology major and theatre minor at Pacific University Oregon. My understanding of memory has significantly changed from the beginning of this class. I though memory was more like a computer and that information that was captured was stored perfectly like how a camera or recording device works. However, throughout the semester I learned how dynamic memory actually is. I learned how to optimize my memory to better use it in my future classes and for studying. Now I know when I am studying or trying to learn new information that by using multiple senses and systems in the brain (e.g., motor & visual or semantic & episodic) I can open up my pre-existing schemas more easily and then retain the information better.
Anthony
Hey, my name is Anthony Hrboka and I am a Psychology major and SLAM minor at Pacific University. Going into this class, I thought I would just learn basic ideas about how memory works. But I ended up learning how much our everyday habits like attention and note-taking actually affect what we remember. Working on this project made the class feel a lot more useful. Instead of just learning concepts, we applied them to real situations, like how students study. It showed me that small changes in how you learn can make a big difference. My biggest takeaway is that memory depends on how you process information, not just how much effort you put in. Focusing on understanding and key ideas is much more effective than trying to remember everything.
Austin
Hey, my name is Austin and I am a social work student at Pacific University. This class has really expanded my beliefs about the functions and goal of memory. Prior to this course I viewed memory as a fallible computer that was to be fought against. Now I see memory for what it is, a flexible, adaptive, and remarkable system that enables all of our human endeavors. I have also learned a lot of valuable tips that I have incorporated into my own studies. These include handwriting everything, practice testing, repetition over time, and recalling episodic details.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving Students’ Learning With Effective Learning Techniques: Promising Direction From Cognitive and Educational Psychology. Psychological Science in the Public Interest ,13(1), 4-58. https://doi.org/10.1177/1529100612453266
Flanigan, A. E., Wheeler, J., Colliot, T., Lu, J., & Kiewra, K. A. (2024). Typed Versus Handwritten Lecture Notes and College Student Achievement: A Meta-Analysis. Educational Psychology Review, 36(78). https://doi.org/10.1007/s10648-024-09914-w
Hill, K. A., Cohen, S. S., Olson, I. R., & Newcombe, N. S. (2025) The Role of Narrative Structure in Scaffolding Children’s Recall. Journal of Cognition and Development. https://doi.org/10.1080/15248372.2025.2571554
Keim, B. (2013, September 1). The Science of Handwriting. Scientific American. https://www.scientificamerican.com/article/the-science-of-handwriting/
Mar, R. A., Li, J., Nguyen, A. T. P., &Ta, C. P. (2021). Memory and comprehension of narrative versus expository texts: A meta-analysis. Psychonomic Bulletin & Review, 28, 732-749. https://doi.org/10.3758/s13423-020-01853-1
Rubin, D. C. (2005). A Basic-Systems Approach to Autobiographical Memory. Current Directions in Psychological Science, 14(2), 79-83. https://doi.org/10.1111/j.0963-7214.2005.00339.x
Van Kesteren, M. T. R., & Meeter, M. (2020). How to optimize knowledge construction in the brain. npj Science of Learning, 5(5). https://doi.org/10.1038/s41539-020-0064-y
Wagoner, B. (2017). Frederic Bartlett. In K. Michaelian, & S. Bernecker (Eds.), Routledge Handbook of the Philosophy of Memory (pp. 537-545). Routledge. https://doi.org/10.1007/978-3-030-93789-8_38-2