Why most students are studying all wrong—and the evidence-based techniques that actually work
After many years of study and also working with students who’ve tried everything from marathon cramming sessions to colour-coded highlighter systems, I’ve noticed something rather curious. The techniques that feel most productive—rereading notes until your eyes glaze over, highlighting entire paragraphs in fluorescent yellow, making study guides so beautiful they belong in an art gallery—are often the least effective for actual learning.
It’s a bit like the old joke about the bloke who lost his keys in a dark alley but kept searching under the streetlight because that’s where he could see. We gravitate toward study methods that feel easy and give us that satisfying sense of ‘doing something’, but the real learning happens in the darker corners where our brains have to work a bit harder.
This isn’t just my opinion after decades in the trenches of applied psychology. There’s a robust body of research showing us exactly which study techniques work—and more importantly, why they work. Today, I want to share what the science tells us about learning, memory, and the surprisingly counterintuitive ways our brains actually retain information.
The illusion of knowing
Let me start with Rebecca, a uni student I worked with a few years back. She’d been struggling with her psychology subjects despite spending hours each day ‘studying’. When I asked her to walk me through her routine, the pattern was familiar: she’d read through her textbook chapters, highlight the important bits, then read through her notes again. Sometimes she’d rewrite them in different colours. She felt busy, productive even. But come exam time, her mind would go blank.
Rebecca had fallen victim to what psychologists call the ‘illusion of knowing’—that dangerous feeling of familiarity we get when information passes before our eyes repeatedly. Her brain was confusing recognition with recall, a bit like thinking you know someone’s name because their face looks familiar, only to draw a complete blank when you need to introduce them at a dinner party.
The problem is that recognition is passive, whilst recall—the kind of memory retrieval you need during exams—is active. It’s the difference between recognising Melbourne on a map of Australia and being able to draw the country from memory with all the capital cities in the right spots.
The power of active recall
This brings us to perhaps the most robust finding in all of learning research: the ‘testing effect’, also known as ‘active recall’. When we force ourselves to retrieve information from memory—rather than simply reviewing it—we strengthen the neural pathways that make future recall easier.
Hermann Ebbinghaus, the German psychologist who pioneered memory research back in the 1880s, discovered this quite by accident whilst memorising nonsense syllables. He found that information he tested himself on stuck around much longer than information he simply rehearsed. More than a century later, researchers like Henry Roediger and Jeffrey Karpicke have confirmed that retrieval practice is one of the most powerful tools we have for learning.
Key takeaways for active recall:
Close your textbook and try to explain concepts from memory before checking your notes.
Use flashcards, but focus on generating answers rather than just recognising them.
Write summary paragraphs without looking at your source material first.
Test yourself regularly instead of just reviewing passively.
Embrace the struggle—difficulty retrieving information actually strengthens memory.
Here’s what this looks like in practice: instead of rereading your notes on cognitive dissonance theory, close the book and try to explain it from memory. Write down everything you can remember about the key concepts, the researchers who developed it, and some examples. Only then should you check your notes to see what you missed.
I remember working with James, a mature-age student tackling his teaching degree. He was convinced he was ‘too old’ to compete with the younger students, but when he started using active recall techniques, his retention improved dramatically. He’d cover his lecture notes and try to recreate them from scratch, then check his accuracy. Within a few weeks, he was outperforming students half his age—not because his memory had magically improved, but because he was studying in a way that matched how our brains actually work.
The ‘spacing effect’ and the ‘forgetting curve’
Of course, timing matters enormously when it comes to memory. Ebbinghaus also discovered the ‘forgetting curve’—that predictable pattern showing how quickly we lose information if we don’t revisit it. But here’s the fascinating bit: if we review information just as we’re about to forget it, we can dramatically slow down that forgetting process.
This phenomenon, known as ‘spaced repetition’, flies in the face of how most students approach learning. Instead of cramming everything into marathon sessions the night before an exam, spacing your study sessions over days or weeks creates much more durable memories.
Spaced repetition strategies:
Review new material within 24 hours of first learning it.
Schedule follow-up reviews at increasing intervals (day 3, day 7, day 14, day 30).
Use apps like Anki, or create your own card system with different review frequencies.
Focus more time on material you find difficult, less on what you already know well.
Plan study sessions weeks in advance rather than cramming.
Think of it like building muscle strength. You wouldn’t expect to get fit by doing one massive workout session. Instead, you’d spread your training across multiple sessions, allowing time for recovery and adaptation between each one. Memory works similarly—those spaces between study sessions aren’t wasted time; they’re when the real consolidation happens.
I often tell my friends, colleagues, and families about the Leitner system, developed by German science journalist Sebastian Leitner in the 1970s. It’s a beautifully simple approach: information you recall easily gets reviewed less frequently, whereas information you struggle with gets more frequent attention. Modern spaced repetition software like Anki automates this process, but you can achieve the same effect with old-fashioned index cards and a few shoeboxes.
Making meaning through elaboration
Raw repetition, even when spaced properly, only gets you so far. For deeper understanding, we need to engage what psychologists call ‘elaborative processing’—connecting new information to what we already know and asking ourselves why things work the way they do.
This is where elaborative interrogation comes into play. Instead of simply memorising that classical conditioning involves pairing an unconditioned stimulus with a conditioned stimulus, ask yourself: Why does this pairing create learning? How might this apply to phobias? What would happen if you varied the timing between stimuli?
Elaborative learning techniques:
Ask ‘why’ questions about every concept you encounter.
Connect new information to things you already understand.
Generate your own examples rather than just memorising textbook ones.
Explain how different concepts relate to each other.
Consider practical applications and real-world implications.
These ‘why’ questions force your brain to build connections between concepts, creating what cognitive scientists call a ‘web of meaning’. Information embedded in such webs is much harder to forget because it’s connected to multiple retrieval cues.
I saw this principle in action with Emma, a student colleague in my undergraduate days; she was struggling with statistics. She’d been trying to memorise formulas by rote, with predictably poor results. We shifted her approach to focus on understanding why each formula worked and when you’d use it in real research. She started connecting statistical concepts to psychological studies she found interesting. Suddenly, the formulas weren’t arbitrary symbols but tools for answering meaningful questions.
The Feynman technique and the power of simplification
Nobel Prize-winning physicist Richard Feynman had an elegant test for understanding: if you can’t explain something in simple terms, you don’t really understand it. This insight has profound implications for how we study.
The Feynman technique involves four steps: choose a concept you want to learn, explain it in simple language as if teaching a child, identify gaps in your explanation, then return to your source material to fill those gaps. It’s a humbling process—I’ve watched confident students realise they can’t actually explain concepts they thought they knew inside and out.
The Feynman technique steps:
Pick one concept you want to master.
Explain it in plain English as if teaching a 12-year-old.
Identify where your explanation breaks down or becomes unclear.
Go back to your sources to fill in the gaps.
Simplify and use analogies to make complex ideas accessible.
Repeat until you can explain it clearly without hesitation.
What makes this technique so powerful is that it forces you to move beyond passive recognition towards active construction of knowledge. You’re not just retrieving facts; you’re organising them into a coherent narrative that makes sense to someone else.
Dual coding and the visual advantage
Allan Paivio’s dual coding theory tells us that we process verbal and visual information through different channels, and when we engage both channels simultaneously, learning becomes more robust. This isn’t just about making pretty diagrams (though there’s nothing wrong with those). It’s about creating multiple pathways to the same information.
Visual learning strategies:
Draw diagrams and concept maps from memory.
Create your own visual representations rather than just copying others.
Use colours and symbols to categorise information.
Convert text-heavy notes into flowcharts or mind maps.
Practice explaining concepts while drawing or pointing to visual aids.
Consider how you might study the structure of a neuron. You could read a textual description, certainly. But combine that with drawing the neuron from memory, labelling its parts, and perhaps even creating analogies (the cell body is like the city hall of the neuron, the axon like a telephone cable carrying messages), and you’ve created a rich, multi-layered representation that’s much more resistant to forgetting.
This connects to what researchers call the ‘generation effect’—we remember information better when we produce it ourselves rather than simply reading it. That’s why drawing your own diagrams, creating your own examples, and generating your own summaries is so much more effective than passively reviewing someone else’s work.
‘Interleaving’ and ‘desirable difficulties’
Here’s where things get really counterintuitive. Research by cognitive psychologist Robert Bjork shows that making learning slightly more difficult can actually improve long-term retention. This principle, known as ‘desirable difficulties’, explains why techniques like ‘interleaving’ are so effective.
‘Interleaving’ means mixing up different types of problems or concepts within a single study session, rather than focusing on one topic at a time. It feels messier and more confusing than blocked practice—which is exactly why it works. Your brain has to work harder to distinguish between different concepts and decide which approach to use for each problem.
Interleaving strategies:
Mix different types of problems within each study session.
Switch between related topics every 20-30 minutes.
Practice identifying which method to use before solving problems.
Create mixed problem sets rather than working through chapters sequentially.
Embrace the initial confusion—it leads to stronger learning.
I remember introducing this concept to a group of psychology students preparing for their research methods exam. Instead of studying descriptive statistics one day, inferential statistics the next, and experimental design the day after, I suggested they mix problems from all three areas within each study session. They hated it initially—it felt chaotic and inefficient. But their exam results spoke for themselves.
The social dimension of learning
We often think of studying as a solitary activity, but there’s compelling evidence for the power of collaborative learning—when done properly. Simply sitting together and reading silently isn’t what I’m talking about. Rather, it’s about engaging in what is called ‘collaborative retrieval practice’.
Effective group study techniques:
Take turns explaining concepts to each other.
Quiz each other regularly without looking at notes.
Debate different perspectives on complex topics.
Work through problems together, but ensure everyone participates.
Create group teaching sessions where each person presents a topic.
This might involve taking turns explaining concepts to each other, questioning each other’s reasoning, or working together to solve problems. The key is that everyone needs to be actively engaged in the learning process, not just passively listening.
I’ve seen (and been in) study groups that work brilliantly when they follow this principle, and crash spectacularly when they devolve into social gatherings with textbooks as props. The difference lies in structure and accountability—successful study groups have clear goals, specific roles, and a commitment to testing each other’s understanding.
Neurodiversity and learning: When one size doesn’t fit all
Over the years, I’ve worked with countless students who felt like failures because traditional study advice simply didn’t work for them. Many of these students were neurodivergent—particularly those with ADHD, autism, or both conditions together. What I’ve learned is that whilst the fundamental principles of learning remain the same, the way we apply them needs to be far more flexible and personalised.
Take Marcus, a brilliantly creative student with ADHD who came to me convinced he was ‘just not cut out for academic work’. He’d tried every productivity system under the sun (and advertised online), but they all seemed designed for neurotypical brains. Traditional advice about regular study schedules and quiet environments was not only unhelpful—it was counterproductive. He needed a completely different approach.
ADHD and learning adaptations
Students with ADHD often struggle with executive function challenges that make standard study advice feel impossible to implement. Their brains are wired differently, and this affects everything from attention regulation to working memory to time perception.
ADHD-friendly study adaptations:
Work in shorter bursts (15-25 minutes) with built-in movement breaks.
Use body doubling—studying alongside others, even virtually.
Incorporate fidget tools or background music if they help maintain focus.
Front-load the most challenging material when attention is fresh.
Use timers and external accountability systems.
Allow for hyperfocus sessions when they naturally occur.
Create multiple study environments to prevent boredom and habituation.
The key insight about ADHD brains is that they’re often seeking stimulation. This means that some traditional advice—like studying in complete silence—can actually make focus harder, not easier. I’ve had ADHD students discover they concentrate better with instrumental music (that’s my preferred style), in busy cafés, or while walking on a treadmill.
Marcus found his breakthrough when we abandoned the idea of consistent daily study schedules. Instead, we worked with his natural rhythms, which included intense focus periods that might last several hours, followed by days when sustained attention was nearly impossible. Rather than fighting this pattern, we designed his study approach around it.
Autism and learning adaptations
Autistic students often bring different strengths and challenges to their learning. Many have exceptional attention to detail, strong pattern recognition abilities, and deep expertise in their areas of interest. However, they may struggle with unexpected changes, sensory overload, or executive function difficulties.
Autism-friendly study adaptations:
Create highly structured and predictable study routines.
Minimise sensory distractions (use noise-cancelling headphones, specific lighting).
Use special interests as bridges to connect with new material.
Allow for stim-friendly study environments and tools.
Provide clear, detailed instructions rather than vague guidance.
Build in processing time after learning new concepts.
Use visual schedules and checklists to manage tasks.
Respect the need for sameness—if a routine works, stick with it.
I worked with Priya, an autistic student studying sociology, who initially struggled with the unpredictable nature of case studies and real-world applications. Her strength was in understanding theoretical frameworks in incredible detail, but she found it challenging when lecturers and tutors wanted her to apply these theories to messy, ambiguous real-life situations.
We developed an approach that played to her strengths while gradually building comfort with ambiguity. She created detailed flowcharts that mapped exactly how different sociological theories connected to various scenarios. This gave her the structure she needed while still developing the flexible thinking required for real-world practice.
AuDHD: The combination challenge
Increasingly, we’re recognising that many individuals have both ADHD and autism—sometimes called AuDHD. These students face unique challenges because the conditions can seem contradictory. They might crave routine (autism) whilst also getting bored easily (ADHD), or they might hyperfocus intensely (both conditions) but struggle to initiate tasks (ADHD) or cope with interruptions (autism). I am AuDHD myself and can confirm that the following adjustments work.
AuDHD study adaptations:
Create flexible structure—routines that can adapt to changing energy levels.
Use hyperfocus periods strategically while building in recovery time.
Combine movement needs with special interests where possible.
Allow for both stimulating and calming study environments as needed.
Use technology to outsource executive function tasks.
Build multiple pathways to the same learning goals.
Accept that study patterns may be irregular but still effective.
The most important realisation I’ve had working with neurodivergent students (and myself) is that we’re not broken versions of neurotypical learners—we simply have different operating systems. The evidence-based principles I’ve discussed throughout this article still apply, but the implementation needs to be radically personalised.
Making evidence-based techniques neurodiversity-friendly
Let’s revisit our core techniques through a neurodivergent lens:
Active recall for neurodivergent learners:
ADHD: Use gamification, vary question formats, incorporate movement.
Autism: Create predictable testing schedules, use familiar formats.
AuDHD: Combine structured testing with varied, engaging formats.
Spaced repetition adaptations:
ADHD: Use apps with notifications, link reviews to existing habits.
Autism: Create detailed schedules, maintain consistent review times.
AuDHD: Build flexibility into spacing systems while maintaining overall structure.
Elaborative interrogation modifications:
ADHD: Connect to personal interests, use mind-wandering productively.
Autism: Relate new concepts to special interests, allow for deep dives.
AuDHD: Balance detailed exploration with attention management.
The research on neurodiversity and learning is still evolving, but what’s clear is that neurodivergent students often have incredible strengths that traditional educational approaches overlook. When we adapt evidence-based techniques to work with different neurotypes rather than against them, remarkable things happen.
I’ve watched ADHD students use their natural creativity to develop innovative memory techniques. I’ve seen autistic students leverage their pattern recognition abilities to master complex theoretical frameworks faster than their neurotypical peers. And I’ve worked with AuDHD students who, once they found their rhythm, could hyperfocus their way through material that would take others weeks to cover.
The key is abandoning the idea that there’s only one right way to study. The principles remain sound, but the application must be as diverse as the brains we’re working with.
Your evidence-based study action plan
Immediate changes you can make:
Replace highlighting and rereading with active recall testing.
Schedule spaced review sessions instead of cramming.
Ask ‘why’ questions about every concept you encounter.
Draw diagrams and create visual representations from memory.
Mix different topics within single study sessions.
Consider your neurotype and adapt techniques accordingly.
Weekly habits to develop:
Create a spaced repetition schedule for all your subjects.
Practice the Feynman technique on one concept per subject.
Form or join an active study group with clear learning goals.
Generate your own examples and analogies for complex concepts.
Test yourself regularly without looking at your notes.
Experiment with different study environments and times.
Long-term mindset shifts:
Embrace difficulty as a sign of effective learning.
Focus on understanding rather than coverage.
View mistakes as learning opportunities, not failures.
Prioritise retention over immediate completion.
Trust the process even when it initially feels less efficient.
Recognise that your optimal learning approach may be unique to you.
Putting it all together
After decades of applying psychology to various aspects of my own and others’ lives, I’ve learned that the most effective study approaches combine several of these principles. You might use spaced retrieval practice to test your recall of key concepts, elaborative interrogation to deepen your understanding of why things work as they do, and interleaving to ensure you can apply different techniques flexibly.
The beauty of these evidence-based techniques is that they work regardless of the subject matter or your neurotype. Whether you’re studying abnormal psychology, organic chemistry, or mediaeval history, whether your brain is neurotypical or neurodivergent, the fundamental principles of learning and memory remain consistent—it’s the application that needs to be personalised.
Most importantly, these techniques require a mindset shift. Instead of asking, ‘How can I get through this material as quickly as possible?’ start asking, ‘How can I ensure I’ll remember and understand this material months from now?’ The answer lies not in working harder, but in working smarter—using methods that align with how your particular brain actually learns.
The next time you sit down to study, resist the comfortable familiarity of highlighting and rereading. Close your book, grab a blank piece of paper, and see what you can retrieve from memory. Ask yourself why concepts work the way they do. Mix up different types of problems. Make it slightly difficult, slightly uncomfortable.
And remember—if traditional study advice has never worked for you, that doesn’t mean you’re not capable of academic success. It might simply mean you need to approach learning differently. Trust your brain, work with its natural patterns rather than against them, and be willing to experiment until you find what works.
Your brain will thank you for it—even if it doesn’t feel like it at the time.
