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For me, this sentence at the end breaks the whole argument down - so the adult strategy was indeed more effective at the the thing being optimized for!
The question then is - could they set this up such that kids actually perform better than adults?
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I wonder if changing the overt objective to ‘learn the rule’ would result in the adults outperforming the children?
If you’re told to maximize the number of points, then learning the point value distribution of the blocks is a secondary objective, and we could also wave the conclusion of this experiment as “children don’t follow arbitrarily-valued objectives as well as adults.” Or we can understand this result as an expression of an adult’s developed executive function suppressing the desire to learn for the sake of reaching an objective.
I’m reading the researchers’ interpretation of this experiment as “children have a higher desire to learn” when executive function could explain that while also not diminishing the desire of adults to learn.
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Adults trained with external reinforcements (performance bonuses such as monetary rewards, gold stars, grades, rankings, etc.) will perform better during training compared to ones that receive no performance bonuses.
However, after the training is finished, the ones that received no bonuses will generally be more skilled than the ones that did, because without the allure of the bonus they went for internal motivation instead, and challenged themselves with tough cases which allowed them to get better.
So the next time you're in an environment with a performance bonus component, ask yourself whether you really want to optimise for the short term over the longer term. If you prefer long term learning, maybe change your environment.
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I also remember reading a research group managed to train adults to learn like kids again. Can't seem to find it now, but maybe it's not set in stone and we could benefit from both approaches where needed in life.
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Figuring out "which blocks make the machine light up" is not the same as "earning as many stars as you can", apparently.
If the original research introduced this ambiguity, then I don't think the conclusions of a "learning trap" are supported. Compare adults' and children's performances given a single goal, either "figure out the rule" or "earn more stars", but not both.
The children are likely to have misunderstood the directive to mean that the way to earn the most stars is by figuring out the rule, while adults properly understood the tradeoffs to earn the most stars
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Adults usually having more and varied responsibilities makes it better for them to jump to conclusions, thereby leaving time and energy for the other stuff. Children have less responsibility, so they can afford the curiosity that may find them stars the adults missed.
Indeed, one major adult responsibility is keeping children safe, which often means curtailing their excessive curiosity.
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As we experience more of the world over time, the model of the world we build internally gets more and more elaborate. Eventually, we experience enough we can start noticing metapatterns. Something like, "if something is bad, it usually doesn't get better" is an example of a metapattern which seems like it could be in play in this study.
Of course, we lose out on some experiences, because that heuristic is quite prone to false negatives. I think that's basically what the experiment in the article illustrates, this "lossy filter" in our brain's future-planner.
(I am making no claims about the physical structure of the brain.)
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Wish they said how many children figured out the rule.
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The better thing could be the maximum number of stars aren't revealed and then it could be explore vs exploit scenario.
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