Why Your Kid Runs Out of Ideas Faster Than You Did at Their Age — The Imagination Research

A landmark study found that American children’s creativity scores peaked in 1990 and have declined every decade since. The internet launched in 1991.

That’s not proof of causation. But it’s the kind of temporal coincidence that demands an explanation.

The researcher who documented this trend — Kyung Hee Kim at the College of William & Mary — wasn’t looking for a culture-war argument about technology. She was analyzing 50 years of Torrance Test of Creative Thinking (TTCT) scores, the most widely used standardized measure of divergent thinking in children. Her 2011 paper in Creativity Research Journal covered over 272,000 test scores from kindergartners through adults. The pattern was stark: scores on elaboration, originality, and creative strength rose from the 1950s through the late 1980s, then reversed. By 2008, when the analysis ended, the scores were at their lowest point since measurement began.

This is the first thing parents should know: the decline in children’s imaginative capacity is not a casual impression. It’s a measured, documented trend.

How Researchers Measure Imagination and Creativity in Kids

The Torrance Tests of Creative Thinking were developed by E. Paul Torrance in the 1960s and refined over decades. They assess divergent thinking — the ability to generate multiple, varied, and original responses to an open-ended prompt — as distinct from convergent thinking, which finds the single correct answer.

The tests present tasks like: draw as many pictures as you can using these incomplete shapes. List every possible use for a cardboard box. Suppose all the streets were covered in sand — what would happen next? Responses are scored on four dimensions:

• Fluency — how many ideas the child generates
• Originality — how unusual and non-obvious the ideas are
• Elaboration — how much detail and development each idea receives
• Abstractness — whether the child can name a concept beyond the literal image

Crucially, the TTCT doesn’t measure intelligence or academic skill. Longitudinal studies by Torrance himself and subsequent researchers found that TTCT scores in childhood were better predictors of real-world creative achievement in adulthood than IQ scores. Kim’s meta-analysis confirmed this predictive validity across studies.

Divergent thinking is not the same as imagination in the colloquial sense, but it is its measurable core: the capacity to generate novel possibilities rather than reproduce stored answers. A child who runs out of ideas quickly, who defaults to obvious answers, who can’t sustain open-ended imaginative play for more than a few minutes — these are the behavioral signatures of low divergent thinking.

The Data: Are Kids’ Creativity Scores Actually Declining?

Kim’s 2011 finding has been contested and discussed extensively in the literature, so it’s worth being precise about what it does and doesn’t show.

What it shows: TTCT scores at the elementary and middle school levels showed statistically significant declines from approximately 1990 onward, with the largest drops in elaboration and abstractness subscales. The pattern was consistent across demographic groups. Multiple replications since 2011, including Kim’s own follow-up analyses, confirmed the trend through the 2010s.

What it doesn’t prove: the cause. Kim’s data is correlational. She documented a decline and noted its timing; she did not — and could not — isolate a single cause from her dataset. The 1990s saw the rise of standardized testing pressure, the decline of recess and arts in schools, AND the mass adoption of television and then the internet. Any or all of these may contribute.

What the mechanistic research adds: Several experiments provide plausible pathways from passive entertainment to reduced divergent thinking, which is where the causal story gets interesting.

Singer and Singer (2005), in Imagination and Play in the Electronic Age (Harvard University Press), reviewed decades of research on children’s fantasy play and concluded that children who watched more television — particularly fast-paced entertainment — showed less elaborated pretend play, less novel scenario generation, and more reproduction of what they’d seen on screen. Their play became imitative rather than generative.

Sandra Russ’s research on pretend play and creativity, synthesized in Play in Child Development and Psychotherapy (Erlbaum, 2004), found that the quality of pretend play — specifically its divergent and affective complexity — was a strong predictor of later creative problem-solving. Children who played more elaborately, with more original scenarios, performed better on creativity assessments years later. The mechanism: pretend play is essentially a training ground for divergent thinking, running novel possibilities through imagination before committing to action.

Vygotsky’s foundational essay “Imagination and Creativity in Childhood” (1930/1967) proposed that imagination is not innate magic but a learned cognitive skill — built through recombination and transformation of experiences. Children who receive only pre-packaged narrative experiences (stories with fixed characters, plots, and resolutions) have less raw material to recombine. Children who generate their own scenarios have more.

What Passive Entertainment Does to Divergent Thinking

The research points to three specific mechanisms by which passive entertainment erodes creative capacity:

Mechanism	How it works	Research support
Narrative pre-loading	Fixed stories replace self-generated scenarios; the child’s “imagination” reproduces rather than creates	Singer & Singer (2005); Vygotsky (1930/1967)
Novelty habituation	Constant external entertainment raises the stimulation threshold, making self-generated ideas feel boring by comparison	Lillard & Peterson (2011); Christakis (2004)
Boredom avoidance	Children never reach the cognitive state — mild boredom — where divergent thinking activates	Harris (2000); default mode network research
Response displacement	Time spent consuming displaces time generating; creative skill requires practice	Russ (2004); Barbot et al. (2016)

The third mechanism is arguably the most underappreciated. The default mode network — the brain region active during mind-wandering, daydreaming, and open-ended thought — has a strong connection to divergent thinking. Research by Roger Beaty and colleagues (2016, published in PNAS) found that high-creativity individuals show stronger functional connectivity in their default mode networks. This network activates precisely when external stimulation is low. Devices eliminate the low-stimulation windows that would otherwise allow this network to operate.

For a deeper look at the default mode network and what boredom does to children’s brains, the default mode network research breakdown covers the neuroscience in detail.

What Builds and What Erodes Creative Capacity in Children

Not all screen time erodes creativity, and not all offline activity builds it. The relevant variable is whether the activity requires the child to generate or receive.

Generating — creating, inventing, imagining, constructing, narrating, improvising — builds divergent thinking. Receiving — watching, listening passively, completing preset responses — does not, and at high volumes may reduce it by displacing generation time and raising the novelty threshold.

Research by Barbot and colleagues (2016) in Developmental Psychology found that the relationship between creative potential in childhood and creative achievement in adulthood is mediated by creative activity — specifically, how much time children spend in genuinely generative pursuits. Access to creative tools matters less than sustained practice with generation under conditions that allow failure and iteration.

The Boredom-Imagination Connection: Why Kids Need to Have Nothing to Do

Several controlled studies have documented what happens when children are deliberately given unstructured time without provided entertainment. Harris (2000) found that children given free play with minimal props generated more novel scenarios and showed greater narrative complexity than children given structured activities. The key condition was that props were minimal — children couldn’t default to imitation.

A 2019 study by Mann and Cadman at the University of Central Lancashire had adult participants complete a boring, repetitive task before a divergent thinking assessment. Participants who completed the boring task — specifically, the most passive condition, just reading a list of numbers — subsequently showed higher divergent thinking scores than those who skipped it. The boring task activated the default mode network and the mind began generating spontaneously.

This has a direct implication for parents: the child’s complaint “I’m bored” is not a problem to be solved with a device. It is the neurological precursor to creative thinking. The discomfort is the activation energy.

For what happens in the brain specifically during boredom and default mode activation, see the deep dive on kids’ brains during boredom and constant stimulation.

Activities That Research Shows Restore Creative Thinking

Open-ended construction with minimal constraints

Building with blocks, LEGOs (creative mode, not instruction-following), cardboard, clay, or natural materials consistently shows up in the research as a high-yield creative activity. The key feature: the activity has no predetermined correct answer. Every construction involves novel choice-making. Singer and Singer documented that children who spent more time in open-ended construction showed significantly more original play scenarios compared to children with the same amount of toy-directed play.

Storytelling and narrative improvisation

Having children tell stories — without a book, without prompts, just generating from scratch — builds the narrative generation capacity that Vygotsky identified as core to imagination. Research by Russ and colleagues found that children who participated in regular play narrative activities showed lasting gains on TTCT scores 18 months later. The activity needs to be generative: the child creates the characters, the problem, the resolution. Not retelling Frozen.

Deliberate minimalism in recreational materials

This is counterintuitive: research consistently finds that children given fewer, simpler toys engage in more elaborate, creative play. Dauch and colleagues (2018) published data showing that toddlers with fewer toys in a play space produced longer, more complex play sequences than toddlers with more toys. Fewer props force imagination to do more work.

What NOT to do: replace one screen with an “educational” screen

Parents who eliminate entertainment video and replace it with educational video are addressing duration but not the underlying mechanism. Passive educational video is still passive. The creative benefit comes from replacing passive reception with active generation, not from swapping the category of content being consumed.

What to Watch for Over the Next 3 Months

If you reduce passive entertainment and increase generative activities, here is what you might notice:

• Week 1–2: Resistance and “there’s nothing to do” complaints. This is the default mode network activation precursor. Don’t fill the gap.
• Week 3–4: The beginning of self-generated play. It may be simple and short at first — a few minutes of made-up game, an improvised scenario. This is the signal.
• Month 2: More elaborate scenarios, longer play sequences, more asking for materials rather than content. “Can I have cardboard boxes?” is a better sign than “Can I watch something?”
• Month 3 self-check: Does your child have an active imaginative project — a story they’re working on, a world they’re building, a game they invented? Not a product they consumed. Something they made.

Red flag: if, by month 2, a child shows persistent inability to engage in any self-generated activity even with minimal prompts, and this coexists with other developmental concerns, mention it to a pediatrician. Persistent inability to engage in pretend play can be an early signal worth evaluating.

Key Takeaways

• Kyung Hee Kim’s analysis of 272,000+ Torrance Test scores documented consistent declines in children’s divergent thinking from approximately 1990 onward
• The mechanisms connecting passive entertainment to reduced creativity include narrative pre-loading, novelty habituation, boredom avoidance, and time displacement
• Divergent thinking requires practice — it is a skill built through generating, not receiving
• Boredom is the neurological precursor to creative thinking, not a problem to be solved
• Open-ended construction, storytelling, and deliberate recreational minimalism have research support as creativity-restoring activities

Frequently Asked Questions

My child loves drawing and seems creative. Why would I worry about imagination scores?

Drawing is a genuinely creative activity and a positive sign. The divergent thinking research is specifically about the capacity to generate novel possibilities across contexts — it’s broader than artistic skill. A child who draws imaginatively is showing one dimension of creative capacity; the broader question is whether they can sustain open-ended imaginative thinking across domains (story, play, problem-solving) or whether creative expression is narrowing to a single channel.

Aren’t games like Minecraft and Roblox creative enough to replace open-ended play?

In creative/sandbox mode — where the child is genuinely building without instructions — there is meaningful divergent thinking happening. The caveat: many children use these platforms primarily in structured or competitive modes (survival mode, following tutorials, playing preset minigames) that are closer to Type 1 or 2 screen use. The platform affords creativity; whether the child is exercising it depends on how they use it.

Should I take away all screens to fix this?

The research doesn’t support that as a necessary conclusion. The issue is the ratio of passive reception to active generation. If a child spends 4 hours consuming content and 30 minutes creating, rebalancing that ratio — not eliminating screens — is the more evidence-based intervention. The specific activities that need to increase are generative ones; what they displace should be passive reception.

Is the creativity decline specific to American children?

Kim’s data was primarily U.S.-based, but researchers have found similar patterns in Western Europe and parts of East Asia, correlating with increased screen time and decreased unstructured play time across these regions. The phenomenon isn’t unique to the U.S., but comparative cross-cultural data is less robust.

My child is 4. When should I start worrying about this?

Divergent thinking and imaginative play develop from age 2 onward. The most sensitive period appears to be early childhood — roughly ages 3 to 8 — when pretend play is at its peak natural developmental expression. Creating conditions for open-ended play and minimizing passive reception at these ages has the greatest potential yield.

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About the author

Ricky Flores is the founder of HiWave Makers and an electrical engineer with 15+ years of experience building consumer technology at Apple, Samsung, and Texas Instruments. He writes about how kids learn to build, think, and create in a tech-saturated world. Read more at hiwavemakers.com.

Sources

1. Kim, K. H. (2011). “The creativity crisis: The decrease in creative thinking scores on the Torrance Tests of Creative Thinking.” Creativity Research Journal, 23(4), pp. 285–295. https://doi.org/10.1080/10400419.2011.627805
2. Singer, D. G., & Singer, J. L. (2005). Imagination and Play in the Electronic Age. Harvard University Press.
3. Russ, S. W. (2004). Play in Child Development and Psychotherapy: Toward Empirically Supported Practice. Lawrence Erlbaum Associates.
4. Lillard, A. S., & Peterson, J. (2011). “The immediate impact of different types of television on young children’s executive function.” Pediatrics, 128(4), pp. 644–649. https://doi.org/10.1542/peds.2010-1919
5. Beaty, R. E., Benedek, M., Silvia, P. J., & Schacter, D. L. (2016). “Creative cognition and brain network dynamics.” Trends in Cognitive Sciences, 20(2), pp. 87–95. https://doi.org/10.1016/j.tics.2015.10.004
6. Barbot, B., Lubart, T. I., & Besançon, M. (2016). “‘Peaks, slumps, and bumps’: Individual differences in the development of creativity in children and adolescents.” New Directions for Child and Adolescent Development, 151, pp. 19–31. https://doi.org/10.1002/cad.20152
7. Dauch, C., Imwalle, M., Ocasio, B., & Metz, A. E. (2018). “The influence of the number of toys in the environment on toddlers’ play.” Infant Behavior and Development, 50, pp. 78–87. https://doi.org/10.1016/j.infbeh.2017.11.005