This is the one topic in the unit where the research has not settled. One argument says constant technology overwhelms our limited cognitive resources. The other says the same technology trains them. Both have evidence, and an answer that only gives you one of them is only half an answer.
📘 What you need to know
Cognitive load theory suggests excessive exposure to technology can overwhelm cognitive resources, impairing memory and thinking.
Digital immigrants were born before widespread internet and personal computer use; digital natives were born after those technologies were established.
One view: digital natives depend too heavily on continuous access to technology, impairing their cognitive processes.
Another view: modern technology can actually enhance cognition in natives and immigrants alike.
Hyperconnectedness is constant access to multiple streams of information and communication.
Action games involve multitasking, which may sharpen attention, processing speed and working memory, and encourage metacognition.
Blacker et al. (2014) tested whether action games improve visual working memory (VWM).
The two arguments
Both columns rest on the same fact — that working memory has limited capacity. One side says training within that limit improves it; the other says exceeding it damages performance.
Notice how easily this becomes an opinion piece. Keep it psychological: name the mechanism, name the study, and say what the evidence can and cannot show. Your own view on gaming earns nothing.
Key study: Blacker et al. (2014)
🧩 The study in four steps
Aim — to investigate the extent to which action computer games may improve visual working memory (VWM).
Participants — a self-selecting sample of 34 male university students, mean age 20.
Procedure — participants were randomly allocated to one of two conditions. Condition 1 played action games in single-player mode; Condition 2 played a non-active strategy game (The Sims), the control condition. Both groups trained for over 30 hours across a continuous stretch of 30 days. Before training they completed a self-report (0–9 rating scale) on how motivated they were to complete a VWM task; afterwards, another self-report on how engaged they had been — their enjoyment and absorption in the game.
Findings — there were no significant differences in self-reported motivation or engagement between the groups. The action-game group showed significant improvement on one measure of VWM capacity — a change control task involving switching attention quickly — a small improvement on a colour wheel test, and no improvement on a complex span task.
Conclusion: action computer games may directly improve VWM, or may improve it indirectly through the enhancement of selective attention.
The task that improved most needed rapid attention switching — exactly what an action game trains. That pattern is why the researchers suggested selective attention, rather than memory itself, might be doing the work.
Why the motivation check matters. Action games are more exciting than The Sims, so an obvious objection is that one group simply tried harder. The self-reports found no significant difference in motivation or engagement, which closes that gap in the design.
Evaluating the research
Strengths
Good application. It highlights the responsivity of VWM to training, which could be used in educational settings where improving cognitive skills is a key objective.
Real duration. Training ran over 30 hours, so participants could genuinely immerse themselves in whichever game they were playing. That makes the findings more valid than a snapshot design would allow.
Controlled comparison. Using a non-action game as the control isolates the type of game rather than simply “screen time versus none”.
Limitations
Practice could not be verified. There is no way of knowing whether participants stuck strictly to the 30-day practice period. Some may have played more and some less, decreasing reliability through a lack of consistency across conditions.
No explanation. The study shows what happened — improvement on one measure — but not why it happened, so it lacks explanatory power.
Narrow sample. 34 self-selecting male university students cannot represent gamers, students or anyone else in general.
Link to concepts
Perspective — there is some concern that technology-based laziness, whether from playing too many games or over-using technology generally, may result in less neuroplasticity. Plasticity would be put on pause while neural pruning proliferates in the parts of the brain gaming uses most, for example the hippocampus, which handles both memory and spatial navigation. An over-reliance on gaming may also affect social interaction: research has shown that people who spend more time gaming lose some ability to recognise faces, as screens interfere with interpreting emotion in face-to-face encounters.
Responsibility — when researching the impact of gaming it is essential that participants are screened beforehand, so that nobody in the sample has a gaming addiction or is vulnerable to developing one. There is a fine line between enjoying gaming and depending on it, and researchers have a duty of care to establish that line rather than exacerbating an existing problem.
Exam practice
WORKED EXAMPLE
Explain one effect of technology on cognitive processes. [3 marks]
1. State the effect
Action computer games may improve visual working memory.
2. Give the mechanismGames train rapid attention switching, which may enhance selective attention rather than memory directly.
3. Evidence
Blacker et al. found improvement on a change control task, a small gain on a colour wheel test, and none on a complex span task.
Effect + mechanism + evidenceReporting the measure that did not improve is what makes the answer accurate.
WORKED EXAMPLE
Discuss the effect of digital technology on memory. [ERQ paragraph]
One side
Blacker et al. suggest action games can train visual working memory, supporting the enhancement view.
Other sideHowever cognitive load theory predicts that competing streams of information overwhelm limited working memory.
Methodological limit
Blacker’s practice period could not be verified, and the study explains what changed but not why.
Judgement
The effect appears real but narrow — specific training on a specific skill, not a general improvement in memory.
Specific gain, not general benefitHolding both positions and then narrowing the claim is exactly what “discuss” asks for.
💡 Exam tip
Give both sides before your judgement. A one-sided answer on this topic caps your band.
Name all three measures. The pattern across them is the finding, not just the one that improved.
Use digital natives and digital immigrants once each — they are the topic’s own terms.
Cognitive load theory links this page straight back to the working memory model.
Say the improvement may work through selective attention. It shows you understood the conclusion.
Screening for gaming addiction is a specific, credit-worthy ethical point.
⚠️ Common mix-up
The games did not improve memory in general. One measure improved clearly, one slightly, one not at all.
The Sims group was the control, not a “no game” group. Both groups played something.
Self-selecting is not random. Allocation to condition was random; recruitment was not.
VWM is not the same as long-term memory. It is a component of working memory.
Do not write an opinion piece about screen time. Report mechanisms and evidence.
“No significant difference” is a finding. The motivation result strengthens the study rather than weakening it.
That completes Learning and Cognition. Up next: loop back to What Brain Damage Reveals About Memory and read the topic as one argument — how memory is structured, how culture fills it, and how experience reshapes it.
Want this explained one-to-one?
Book a free session with an experienced IB Psychology tutor and get your trickiest topics made simple.
