• slackassassin@sh.itjust.works
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    23 hours ago

    That’s another type of study that is also worthwhile. But the effects of distracted students on teachers and the classroom as a whole is also relevant.

    • HollowNaught@lemmy.world
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      5 hours ago

      Yes, but there’s a huge degree of bias whenever you ask people anything. Obviously teachers are going to think phones are detrimental to class focus, and thus they’re more likely to say their ban helped with that same focus

      Same thing If you asked students, but reversed

    • sugar_in_your_tea@sh.itjust.works
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      22 hours ago

      Sure, I just don’t trust results from subjective studies, unless it’s tracking trends over time. So maybe if they had opinion polls like this before smartphones were a thing in classrooms, while smartphones were a thing, and after they were banned I’d trust the results somewhat. But if we’re just tracking an after-the-fact poll, it just feels like confirmation bias. I believe teachers have an incentive to overstate the impact of policies that give them more control, because they want to encourage more such policies, even if they aren’t effective at achieving tangible results.

      So yeah, I distrust this type of study. I don’t think it’s necessarily worthless, I just don’t think many conclusions can be taken from it.

      • slackassassin@sh.itjust.works
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        21 hours ago

        You can conclude that teachers experience a better classroom environment. There was also 1/3 that did observe academic improvement.

        E: Also, a teachers subjective experience is still an objective result if you are considering the qol aspect of the policy.

        • sugar_in_your_tea@sh.itjust.works
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          11 hours ago

          I mostly care about longer term impacts. The ban has only been in place for a year and a half, so it’s really not much to go on.

            • sugar_in_your_tea@sh.itjust.works
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              4 hours ago

              Sure, but short term impacts are generally unreliable, since there are a lot of cases of coincidence, like a good policy having no immediate impact or a bad policy having the desired impact. Longer term studies account for that randomness.