The Secret to ‘Unlocking Your Brain’: A Fireside Chat with Professor Bear
A Narrative Guide to Learning How to Learn
by Dr. Ron A. Rhoades, JD, CFP®
The aroma of freshly brewed coffee filled Professor Bear’s office as four students – James, Sarah, Malik, and Chloe – gathered around the worn oak table. Late afternoon sunlight filtered through the windows, illuminating stacks of finance journals and an impressive collection of coffee mugs bearing motivational slogans that ranged from the inspiring to the questionable. One mug simply read: “I survived tenure review.”
“Professor,” Sarah began, tapping her highlighter against a notebook thick with yellow streaks, “I spent six hours re-reading the first chapter last night. Six hours. I feel like I know it cold, but when I look at the practice quiz, my mind goes blank. Why is this so hard?”
Professor Bear adjusted his spectacles – a pair of wire-rimmed antiques he claimed were “vintage,” but everyone suspected were from relatively new – and smiled the knowing smile of someone who had watched thousands of students make the same mistake.
“Sarah, you’ve fallen victim to what researchers call the ‘Illusion of Competence.’ You’re confusing familiarity with mastery. It’s like recognizing someone’s face at a party but having no idea what their name is – except in your case, the ‘someone’ is the entire concept of compound interest.”
Malik snorted. “So, basically, you’re saying we’ve been studying wrong our whole lives?”
“Not wrong,” Professor Bear said diplomatically. “Just… inefficiently. Most students study in ways that feel good but don’t actually work. To succeed in finance – and life – you must learn how to learn. And fortunately for you, decades of cognitive science research have given us a roadmap.”
He reached for his most prized coffee mug – the one that said “Make It Stick” – and began.
Retrieval Practice: The Power of the ‘Blank Sheet’
“The first rule of effective learning,” Professor Bear said, setting down his mug with the gravity of a judge delivering a verdict, “is counterintuitive: learning happens when you pull information out, not when you put it in.”
James looked skeptical. “That doesn’t make sense. How can I pull out information I haven’t put in yet?”
“Excellent question, and exactly the wrong way to think about it,” Bear replied. “The act of trying to retrieve information – even when you struggle – changes your brain in ways that passive re-reading simply cannot. This is called Retrieval Practice, and it’s the closest thing we have to a silver bullet in education.”
Academic Support: The evidence for retrieval practice is overwhelming. Roediger and Karpicke (2006) demonstrated that taking a memory test not only assesses what one knows but also enhances later retention – a phenomenon known as the testing effect. In their landmark study, students who took practice tests retained significantly more information on delayed assessments than those who simply re-studied the material, even when the re-studiers spent more total time with the content. Dunlosky et al. (2013), in their comprehensive review of learning techniques for Psychological Science in the Public Interest, identified retrieval practice as a “high utility” strategy – one of only two techniques (alongside distributed practice) to earn this distinction. Unlike re-reading or highlighting, which received “low utility” ratings, retrieval forces the brain to reconstruct knowledge, strengthening neural pathways and creating more robust memory traces (Brown et al., 2014).
“So instead of re-reading,” Sarah said slowly, “I should… close my book and try to write down everything I remember?”
“Exactly! The ‘blank sheet’ method. Close your notes, take out a fresh piece of paper, and brain-dump everything you can recall. The struggle you feel? That’s your neurons forming stronger connections. No pain, no gain – except in this case, it’s ‘no strain, no brain.'”
Chloe groaned. “Did you just make that up?”
“I have a PhD, Chloe. I’m contractually obligated to make terrible puns.”
Complementarity: “Retrieval practice is the ‘engine’ of learning,” Bear continued, “but it works best when combined with other techniques. Pair it with Elaboration – explaining why a concept like the ‘Behavior Gap’ occurs, rather than just defining it – and you’ll encode information more deeply. Think of retrieval as building the road and elaboration as paving it with context.”
Spaced Repetition: Defeating the Forgetting Curve
James groaned. “I usually just pull an all-nighter before the exam. It’s worked so far.”
“Has it, though?” Malik challenged. “Will you remember any of this in a year when you are sitting for the CFP® exam?”
Professor Bear nodded approvingly at Malik. “That’s the ‘Crammer’s Curse.’ Cramming creates the illusion of learning because information feels fresh and accessible… for about 72 hours. Then it evaporates like morning dew on a hot sidewalk.”
“What’s the alternative?” James asked.
“Spaced Repetition. Instead of massing your practice into one marathon session, you spread it out over time. The key insight is to revisit material just as you’re about to forget it – that’s when retrieval is most effortful and, therefore, most beneficial.”
Academic Support: Spaced repetition combats what Hermann Ebbinghaus discovered in the 1880s: the Forgetting Curve. Without review, memory of new information drops precipitously – by 50-80% within the first 24 hours (Ebbinghaus, 1885/1913). Modern research has confirmed that distributed practice (spacing) is significantly more effective for long-term retention than massed practice (cramming). Cepeda et al. (2006), in their quantitative synthesis published in Psychological Bulletin, analyzed 317 experiments involving over 14,000 participants and found consistent, substantial benefits of distributed over massed practice across a wide range of materials and retention intervals.
“The more spread out my studying, the better?” Sarah asked.
“Within reason. There’s a sweet spot – you want to space practice enough that retrieval requires effort, but not so much that you’ve completely forgotten the material. Think of it like watering a plant: too much at once causes runoff, but the right amount at the right intervals promotes deep roots.”
Complementarity: “Spacing is the perfect partner for Dual Coding,” Bear explained. “When you space out your reviews of both text-based notes and visual diagrams – like a graph of the Yield Curve or a flowchart of estate planning decisions – you engage different parts of the brain over time, making the memory more robust.”
Allan Paivio’s (1971, 1986) Dual Coding Theory proposes that the human mind processes information along two distinct channels: verbal and visual. When learners encode information through both systems – such as by studying a concept in text and then representing it graphically – they create multiple retrieval pathways. Clark and Paivio (1991) applied this theory to education, demonstrating that concreteness, imagery, and verbal associative processes play major roles in knowledge representation, comprehension, and memory.
Interleaving: Mixing the Batter
“I like to master one thing at a time,” Chloe said confidently. “I’ll do 50 problems on compound interest, then 50 on present value, then 50 on inflation adjustments. It’s systematic.”
“It’s also suboptimal,” Professor Bear replied gently. “That’s called ‘blocked practice,’ and while it feels efficient, it’s actually cheating your brain out of a crucial learning opportunity.”
“Cheating? I’m working harder,” Chloe protested.
“Working harder isn’t the same as learning better. When you do 50 problems of the same type in a row, you don’t have to think about which strategy to use – you already know. It’s like practicing free throws for an hour straight. Great for muscle memory, terrible for game situations where you need to decide which shot to take.”
Professor Bear pulled out a whiteboard marker and drew two problem sequences:
Blocked: A A A A B B B B C C C C
Interleaved: A B C A C B A B C A C B
“Same problems,” he said. “Just rearranged. And this simple rearrangement can double learning.”
Academic Support: The research on interleaving is remarkable. Rohrer and Taylor (2007) found that students who interleaved different types of math problems performed 76% better on delayed tests than those who practiced in blocks – despite performing worse during the practice session itself. In a real-world classroom study, Rohrer, Dedrick, and Stershic (2015) found that seventh-grade students learning about graphs and slope scored dramatically higher (72% vs. 38%) when using interleaved rather than blocked practice. Taylor and Rohrer (2010) demonstrated that fourth-grade students who completed interleaved math problems had nearly double the exam performance after one day (77%) compared to students who completed blocked problems (38%).
“Wait,” Malik said. “They did worse during practice but better on the test?”
“Exactly! This is what Robert Bjork calls a ‘desirable difficulty.’ Interleaving feels harder because it is harder – and that difficulty is precisely what makes it more effective. Your brain has to work to identify which strategy applies to each problem, and that discrimination process strengthens learning.”
Chloe slumped in her chair. “Do you mean that everything that feels good about studying is actually bad?”
“Now you’re getting it!” Bear said cheerfully. “If studying feels easy, you’re probably not learning much. Embrace the struggle.”
Elaborative Interrogation: The Power of ‘Why?’
“Here’s another technique that might annoy you,” Professor Bear said with undisguised glee. “Elaborative interrogation. It’s as simple as asking ‘why?’ and ‘how?’ after every fact you learn – and then actually answering the question.”
“Like a toddler,” Sarah observed.
“Exactly like a toddler. Toddlers are learning machines precisely because they never stop asking why. Somewhere along the way, we trained ourselves to accept information passively instead of actively interrogating it.”
He wrote on the whiteboard:
Fact: The Behavior Gap represents the difference between investment returns and investor returns.
Elaborative Interrogation: Why do investors typically underperform the funds they invest in? What psychological factors drive this gap? How does this relate to what we know about loss aversion?
Academic Support: Research by Pressley, Symons, McDaniel, Snyder, and Turnure (1988) demonstrated that elaborative interrogation – answering “why” questions about facts – significantly improves memory compared to simply reading. Woloshyn, Pressley, and Schneider (1992) found that elaborative interrogation facilitates learning of facts even when learners have limited prior knowledge, though the effect is particularly strong when learners can connect new information to existing schemas. Dunlosky et al. (2013) rated elaborative interrogation as a “moderate utility” technique, noting that while effects are robust across many conditions, the technique works best when learners have sufficient background knowledge to generate meaningful explanations.
“The key,” Bear emphasized, “is that you have to generate the answer – not look it up immediately. The struggle to connect new information to what you already know is where learning happens.”
The Feynman Technique: Teaching to Learn
“Speaking of toddlers,” Professor Bear continued, “let me introduce you to one of my favorite learning techniques, named after physicist Richard Feynman – winner of the Nobel Prize and legendary explainer of complex ideas.
“The Feynman Technique is brutally simple: if you can’t explain a concept to a sixth-grader, you don’t really understand it.”
James looked uncomfortable. “A sixth-grader? I’m not sure I could explain present value to a sixth-grader.”
“That’s exactly the point! The technique exposes gaps in your understanding that you didn’t know existed.” Bear wrote the four steps on the board:
Step 1: Choose a concept and write it at the top of a blank page.
Step 2: Explain it in simple language, as if teaching a child. No jargon allowed.
Step 3: Identify where your explanation breaks down – that’s where your understanding is weak.
Step 4: Go back to your sources, fill the gaps, and simplify further.
Academic Support: While the Feynman Technique hasn’t been studied as a unified intervention, its components are well-supported by educational research. Chi, Bassok, Lewis, Reimann, and Glaser (1989) demonstrated that self-explanation – a key element of the technique – significantly improves problem-solving and conceptual understanding. Nestojko, Bui, Kornell, and Bjork (2014) found that studying with the expectation of teaching leads to better organization of knowledge and enhanced memory. Fiorella and Mayer (2013) showed that students who learned by teaching others developed deeper understanding than those who learned for themselves alone. The act of simplifying forces learners to move beyond surface-level understanding to grasp underlying principles – what some researchers call “generative learning” (Fiorella & Mayer, 2016).
“Feynman famously said that the difference between knowing the name of something and understanding it is vast,” Bear added. “You can memorize that a bird is called a ‘brown-throated thrush’ in English and ‘halzenfugel’ in German, but that doesn’t tell you anything about the bird. Understanding means being able to explain how it flies, why it migrates, what it eats.”
The Power of Handwriting: Why the Pen Beats the Keyboard
Chloe, who had been typing notes on her laptop throughout the session, looked up. “Please don’t tell me you’re about to say I should write these down by hand.”
Professor Bear smiled sympathetically. “I’m afraid cognitive science is not on your laptop’s side, Chloe.”
“But I can type way faster than I can write!”
“And that’s exactly the problem.”
Academic Support: Mueller and Oppenheimer’s (2014) influential study, published in Psychological Science and aptly titled “The Pen Is Mightier Than the Keyboard,” found that students who took handwritten notes performed significantly better on conceptual questions than those who typed, even when laptops were used solely for note-taking (without the distractions of internet browsing). The key finding: laptop users tended to transcribe lectures verbatim, while handwriters had to process and paraphrase, leading to deeper encoding. Van der Weel and Van der Meer (2024), using high-density EEG to measure brain connectivity, found that handwriting produced significantly greater neural engagement than typing – particularly in brain regions associated with memory and learning.
“The very fact that handwriting is slower forces you to think about what’s important,” Bear explained. “You can’t capture everything verbatim, so you have to filter, summarize, and rephrase. That processing is where learning happens.”
“In other words, my ‘efficiency’ is actually making me dumber?” Chloe asked, somewhat horrified.
“Not dumber. Just less effectively encoding the material. Your typed notes might be more complete, but your brain’s engagement with them is shallower.”
Malik, who had been scribbling in a battered notebook throughout, looked smug. “I knew there was a reason I never upgraded from this system.”
“Don’t get too comfortable,” Bear warned. “Your handwriting still needs to involve processing, not just transcription. If you’re copying down everything I say without thinking about it, you lose the benefit.”
Sleep: Your Brain’s Cleaning and Filing Service
Professor Bear glanced at the clock. “Speaking of all-nighters, James, let me tell you about why your cramming strategy isn’t just inefficient – it’s actively sabotaging your brain.”
“Because I’m tired during the exam?”
“That, and because you’re preventing your brain from doing its most important work. You see, sleep isn’t just ‘downtime’ – it’s when your brain consolidates memories and literally cleans itself of metabolic waste.”
“Cleans itself?” Sarah looked intrigued.
Academic Support: Research on the glymphatic system has revolutionized our understanding of sleep’s role in brain health and learning. Discovered in 2012 by Nedergaard and colleagues, the glymphatic system acts as the brain’s waste-removal pathway, using cerebrospinal fluid to flush out metabolic debris and toxins that accumulate during waking hours (Xie et al., 2013). Crucially, glymphatic activity is dramatically increased during sleep – particularly slow-wave sleep – and suppressed during waking. Recent research by Hauglund et al. (2025), published in Cell, identified that rhythmic oscillations in norepinephrine during NREM sleep drive the vascular dynamics necessary for effective brain clearance.
“Think of it this way,” Bear continued. “During the day, your brain is like a busy office, generating ideas and accumulating paperwork and coffee cups. Sleep is when the cleaning crew comes in to file the important documents and throw out the trash. Skip sleep, and you’re trying to work in an increasingly cluttered, garbage-filled office.”
“Brain fog,” Malik said. “That’s literal brain garbage?”
“In a manner of speaking. When waste products accumulate, they interfere with neural signaling. You experience this as difficulty concentrating, poor memory encoding, and impaired decision-making. And it’s not just consolidation that suffers – research shows that sleep deprivation also impairs encoding, meaning you’re less able to learn new information in the first place.”
Beyond waste clearance, sleep plays a critical role in memory consolidation. Stickgold (2005) demonstrated that sleep – particularly the interplay between slow-wave sleep and REM sleep – is essential for converting short-term memories into long-term ones. The “hippocampal-neocortical dialogue” hypothesis suggests that during slow-wave sleep, the hippocampus replays newly learned information and gradually transfers it to the neocortex for permanent storage (Diekelmann & Born, 2010).
“So, let me get this straight,” James said slowly. “When I pull an all-nighter, I’m preventing my brain from filing what I studied and filling it with toxic waste and making it harder to learn anything new?”
“Welcome to neuroscience, where all your worst fears about your study habits are confirmed.”
Malik stretched and looked at the growing pile of notes in front of him. “Professor, this is a lot to process. Retrieval practice, spaced repetition, interleaving, elaboration, the Feynman thing, handwriting, sleep… How am I supposed to implement all of this?”
“You don’t have to do everything at once,” Bear reassured him. “Start with one technique – I’d recommend retrieval practice, since it has the strongest evidence and the most immediate impact. Then gradually layer in the others as they become habits.”
“And remember,” he added with a wry smile, “these techniques will feel uncomfortable at first. That discomfort is the feeling of actual learning, not a sign that you’re doing it wrong. If studying always feels easy, you’re probably just building familiarity, not genuine understanding.”
The Modern Challenge: AI and the Thinking Shortcut
“Professor,” James said, looking at his phone, “I have a confession. Sometimes when I’m stuck on a problem, I just ask ChatGPT to explain it. It’s faster.”
Professor Bear’s expression became serious. “That, James, is perhaps the most important topic we need to address today. Because large language models like ChatGPT represent both an incredible opportunity and a significant danger for learners.”
“Danger? It’s just a study tool.”
“So is a chainsaw, if you’re cutting down trees. But use it wrong, and you’ll lose a limb.”
Academic Support: Emerging research suggests concerning patterns in how AI tool usage affects learning. Kos’myna et al. (2025), in a study conducted at MIT Media Lab, used EEG monitoring to compare brain activity in students writing essays with ChatGPT, with Google search, and with no assistance. Over four months, ChatGPT users showed consistently lower neural engagement and “underperformed at neural, linguistic, and behavioral levels.” Students became progressively more reliant on the AI, often resorting to copy-and-paste by the end of the study. Perhaps most concerning, ChatGPT users struggled to recall or quote from their own essays – suggesting impaired encoding and reduced ownership of the material.
Abbas et al. (2024), in a systematic review published in Smart Learning Environments, found that over-reliance on AI dialogue systems can diminish critical thinking skills and reduce engagement in self-regulated learning. When AI does the thinking, your brain stays passive – and passive brains don’t develop.
“But surely AI can be used productively?” Sarah asked.
“Absolutely. The key is how you use it. If you ask AI to give you the answer, you’re outsourcing thinking. But if you use AI as a Socratic tutor – one that asks questions rather than provides answers – you can actually enhance learning.”
Demonstrating the Socratic LLM Prompt
Professor Bear pulled up ChatGPT on the classroom screen. “Watch the difference. Here’s how most students use AI:”
Passive prompt: “What is the Behavior Gap?”
“The AI gives you a definition. You read it. Your brain does minimal work, and in 24 hours, you’ll have forgotten most of it.”
“Now, here’s the Socratic approach:”
Socratic prompt: “I am a finance student learning about the Behavior Gap. Do not give me the answer. Instead, act as a Socratic tutor. Ask me a series of questions that will help me realize why investors often underperform the funds they invest in. Start with one question. After I answer, probe deeper. Challenge my assumptions. Help me discover the concept myself.”
“With this approach,” Bear explained, “the AI becomes a sparring partner that forces you to engage in retrieval and elaboration. You’re doing the cognitive work – the AI is just structuring the conversation.”
James looked thoughtful. “It’s not that AI is bad for learning – it’s that using AI as a shortcut for thinking is bad.”
“Exactly. AI can be an incredible force multiplier for learning if you maintain cognitive engagement. Use it to challenge yourself, not to avoid challenge.”
The Challenge: For Faculty and Students
Professor Bear looked toward the window, his voice taking on a reflective tone. “What we’ve discussed today presents challenges for both sides of the classroom.”
The Challenge for Faculty
“For my fellow faculty members,” Bear said, “we face an uncomfortable truth: we can no longer just teach content. We must teach process. The techniques we’ve discussed today – retrieval practice, spacing, interleaving, elaboration – need to be integrated into our curriculum design, not just mentioned as study tips.
“More critically, we must design assessments that cannot be bypassed by a simple AI prompt. If a student can paste your essay question into ChatGPT and receive a passing answer, you haven’t tested understanding – you’ve tested access to technology. We need assessments that require synthesis, application to novel situations, and demonstration of the thinking process itself.
“We must also have the courage to incentivize struggle. Students will resist techniques that feel harder, especially when they’ve been rewarded for years for strategies that feel easier. We need to explain the research, model the techniques, and design courses that build these skills progressively.”
The Challenge for Students
Bear turned back to his four students. “And for you – your challenge is to embrace the discomfort. Everything your intuition tells you about efficient studying is probably wrong.
“Effective learning feels slow. It feels difficult. It feels like you’re not making progress – right up until you demonstrate mastery on an exam and realize you actually understand the material deeply. If studying feels easy, you’re probably not learning.
“Stop looking for the shortcut. There isn’t one – or rather, the ‘shortcut’ is accepting that effective learning requires cognitive effort and building that effort into your routine.
“Get enough sleep. Your brain needs it, not as a luxury, but as a biological necessity for processing and storing what you’ve learned.
“And be intentional about how you use AI. It can be your study partner or your crutch – the choice is yours, and the consequences for your cognitive development are significant.”
Closing
As the students packed their bags, Sarah looked at her highlighter – still uncapped – and then at the blank notebook she’d brought specifically for this session.
“I guess I’m starting my first ‘blank sheet’ retrieval right now,” she said, closing her textbook and opening to a fresh page.
Professor Bear smiled. “That’s the most valuable investment you’ll ever make in your education.”
“Wait,” Malik said at the door. “Was that a finance pun?”
“I told you – contractually obligated.”
As they filed out, James lingered. “Professor, one more question. With all these techniques… how long until they become habits?”
Bear considered this. “Research varies, but typically you’re looking at several weeks of consistent practice before a study technique becomes automatic. The good news is that once these strategies are habituated, they don’t require extra time – they just become how you learn.”
“And James?” Bear added as the student reached the door.
“Yeah?”
“Get some sleep tonight.”
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About the Author
Dr. Ron A. Rhoades, JD, CFP® has lived several extraordinary lives before most people finish one. Before graduating college, he’d already captained his high school track team, coached football, sailed across the Atlantic on a tall ship, rowed on a crew team (silver medal at nationals), marched in the Macy’s Thanksgiving Day Parade, took a solo week-long canoe trip into The Everglades, was a Tin Man at The Land of Oz (Beech Mountain, NC), performed as a Disney Character in road shows across two continents and in shows and parades at Walt Disney World, escorted celebrities around Central Florida, and became a production assistant (show scheduling coordinator) and Stage Manager for special events. And then he graduated college.
He went on to graduate from the University of Florida College of Law with honors, and he became an estate planning and tax attorney, financial advisor, and professor who has taught thousands of students at Western Kentucky University. He’s testified before the U.S. Congress, won multiple teaching awards, and written hundreds of articles on personal finance, investments, and fiduciary law.
He says all of this not to brag, but to prove that you can pack multiple lifetimes into one – if you design it that way.
He lives with his wife of 44 years and two enthusiastic dogs who remind him daily that simple pleasures matter most.
His most important credential: Having the opportunity to mentor hundreds of young people (not always on airplanes), and he always takes the time to listen.
This article is for educational purposes only. The characters depicted are fictional and any relation to real persons is solely incidental. Scenarios and references to real people or experiences are used solely to illustrate educational concepts. These examples may not apply to your individual circumstances. It should not be construed as financial, legal, tax, or investment advice, nor as a recommendation to implement any specific strategy, product, or investment.
Advisory services are offered through XYPN Sapphire and its various IAR brands under which it operates. XYPN Sapphire is an SEC registered investment adviser. For additional disclosure and privacy information, please visit XYPNSapphire.com/disclosures.
Sources
Abbas, M., Jam, F. A., & Khan, T. I. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11(1), 1-23. https://doi.org/10.1186/s40561-024-00316-7
Brown, P. C., Roediger, H. L., & McDaniel, M. A. (2014). Make it stick: The science of successful learning. Belknap Press.
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354-380.
Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13(2), 145-182.
Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149-170.
Diekelmann, S., & Born, J. (2010). The memory function of sleep. Nature Reviews Neuroscience, 11(2), 114-126.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58.
Ebbinghaus, H. (1913). Memory: A contribution to experimental psychology (H. A. Ruger & C. E. Bussenius, Trans.). Teachers College Press. (Original work published 1885).
Fiorella, L., & Mayer, R. E. (2013). The relative benefits of learning by teaching and teaching expectancy. Contemporary Educational Psychology, 38(4), 281-288.
Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28(4), 717-741.
Hauglund, N. L., Andersen, M., Tokarska, K., et al. (2025). Norepinephrine-mediated slow vasomotion drives glymphatic clearance during sleep. Cell, 188(3), 606-622.
Kos’myna, N., et al. (2025). Your brain on ChatGPT: Accumulation of cognitive debt when using an AI assistant for essay writing task. arXiv preprint. MIT Media Lab.
Mollick, E. R., & Mollick, L. (2023). Assigning AI: Seven approaches for students, with prompts. Wharton Interactive Center for Innovation & Case Development.
Mueller, P. A., & Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychological Science, 25(6), 1159-1168.
Nestojko, J. F., Bui, D. C., Kornell, N., & Bjork, E. L. (2014). Expecting to teach enhances learning and organization of knowledge in free recall of text passages. Memory & Cognition, 42(7), 1038-1048.
Paivio, A. (1971). Imagery and verbal processes. Holt, Rinehart & Winston.
Paivio, A. (1986). Mental representations: A dual coding approach. Oxford University Press.
Pressley, M., Symons, S., McDaniel, M. A., Snyder, B. L., & Turnure, J. E. (1988). Elaborative interrogation facilitates acquisition of confusing facts. Journal of Educational Psychology, 80(3), 268-278.
Roediger, H. L., & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181-210.
Rohrer, D., Dedrick, R. F., & Stershic, S. (2015). Interleaved practice improves mathematics learning. Journal of Educational Psychology, 107(3), 900-908.
Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35(6), 481-498.
Stickgold, R. (2005). Sleep-dependent memory consolidation. Nature, 437(7063), 1272-1278.
Taylor, K., & Rohrer, D. (2010). The effects of interleaved practice. Applied Cognitive Psychology, 24(6), 837-848.
Van der Weel, F. R., & Van der Meer, A. L. H. (2024). Handwriting but not typewriting leads to widespread brain connectivity: A high-density EEG study with implications for the classroom. Frontiers in Psychology, 14, 1219945.
Woloshyn, V. E., Pressley, M., & Schneider, W. (1992). Elaborative-interrogation and prior-knowledge effects on learning of facts. Journal of Educational Psychology, 84(1), 115-124.
Xie, L., Kang, H., Xu, Q., et al. (2013). Sleep drives metabolite clearance from the adult brain. Science, 342(6156), 373-377.
