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FARVEL BIG TECH
mklovenotcyber@infosec.exchangeM

mklovenotcyber@infosec.exchange

@mklovenotcyber@infosec.exchange
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  • Using 30 months of panel data on 26,811 Chinese students in grades 7-12, it has been studied how generative AI affects homework productivity and learning.
    mklovenotcyber@infosec.exchangeM mklovenotcyber@infosec.exchange

    @metin there it is:

    Ikke-kategoriseret tech bigtech artificialintel llm

  • Using 30 months of panel data on 26,811 Chinese students in grades 7-12, it has been studied how generative AI affects homework productivity and learning.
    mklovenotcyber@infosec.exchangeM mklovenotcyber@infosec.exchange

    @metin Haha, true. Maybe a split violin plot is in there somewhere. That would be the visual I'm interested now.

    Ikke-kategoriseret tech bigtech artificialintel llm

  • Using 30 months of panel data on 26,811 Chinese students in grades 7-12, it has been studied how generative AI affects homework productivity and learning.
    mklovenotcyber@infosec.exchangeM mklovenotcyber@infosec.exchange

    @metin fascinating, but the chart prompts so many questions for me.

    Why are there below average genAI homeworks at all?

    Is it valid to compare exam scores from the high scoring homework groups this way? Aren't there presumably a lot of bad students hidden in the lower right red line? Or in other words: shouldn't we expect a reordering of true performance in the genAI group?

    The more interesting takeaway is the consistent outperforming from non-AI using students. Or is that the main message? The chart sets a different focus with the way it is presented.

    Ikke-kategoriseret tech bigtech artificialintel llm
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