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  3. 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.

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.

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  • poleguy@mastodon.socialP poleguy@mastodon.social

    @dzamie @mklovenotcyber @metin Yeah, sometimes jokes don't land when done in text... I tried. ... and I habitually don't use actual emoji's... sticking to the emoticons is a stylistic choice.

    By 'valid' I mean that the three things I claimed are factual. I see red at the far right of the "Exams Scores" graph, red at the top of thehomework scores, and red at the _bottom_ of homework time; for homework time _lower_ is better.

    As usual, jokes just get funnier when you explain them. 🙂 Oh well

    dzamie@app.wafrn.netD This user is from outside of this forum
    dzamie@app.wafrn.netD This user is from outside of this forum
    dzamie@app.wafrn.net
    wrote sidst redigeret af
    #40

    @mklovenotcyber@infosec.exchange @poleguy@mastodon.social @metin@graphics.social

    Huh, yeah, I don't see what you're seeing on the exam graph. I'm willing to blame my phone screen for that.

    Sorry for the accusation. I'm glad you took the time to explain it, even if it did kill the joke.

    poleguy@mastodon.socialP 1 Reply Last reply
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    • dzamie@app.wafrn.netD dzamie@app.wafrn.net

      @mklovenotcyber@infosec.exchange @poleguy@mastodon.social @metin@graphics.social

      Huh, yeah, I don't see what you're seeing on the exam graph. I'm willing to blame my phone screen for that.

      Sorry for the accusation. I'm glad you took the time to explain it, even if it did kill the joke.

      poleguy@mastodon.socialP This user is from outside of this forum
      poleguy@mastodon.socialP This user is from outside of this forum
      poleguy@mastodon.social
      wrote sidst redigeret af
      #41

      @dzamie @mklovenotcyber @metin No worries...

      I'm on a giant screen or I might not have noticed this little detail nor made the joke.

      Despite my negative AI sentiment, I do find, as others have noted, that AI tends to frequently be an amplifier of people's already existing tendencies (both good or bad). So the super nerd who already was going to get the top score, and then used AI to help study wasn't going to land at the bottom end of that distribution just because of using AI.

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      • metin@graphics.socialM metin@graphics.social

        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.

        ● X-Axis: Homework scores
        ● Y-Axis: Exam scores

        🔗 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618

        #tech #BigTech #AI #ArtificialIntelligence #LLM #AISlop

        linqlover@norden.socialL This user is from outside of this forum
        linqlover@norden.socialL This user is from outside of this forum
        linqlover@norden.social
        wrote sidst redigeret af
        #42

        @metin I'm actually surprised that homework score appears to be such a good predictor of exam score. Are they determined in comparable settings in China (open-book, parents that could help, time pressure, ...)?

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        • segebodo@chaos.socialS segebodo@chaos.social

          @metin This graph is interesting and mostly matches my expectation. If you spend the time to actually do the homework, you perform ok the exam (on average). No matter if you use AI or not.

          sabik@rants.auS This user is from outside of this forum
          sabik@rants.auS This user is from outside of this forum
          sabik@rants.au
          wrote sidst redigeret af
          #43

          @Segebodo @metin
          This is a fascinating graph in terms of "is AI even useful"

          * At basically no point on the graph does using AI get the student better (or worse) exam results than not; the AI is not useful for improving exam scores

          * At around 55 minutes homework time students get better homework scores without affecting their exam scores

          * Phoning it in on homework with AI lets students get high homework scores, but then they do poorly on the exam; presumably this compromises the teachers' and parents' (and students' own) ability to monitor progress, in addition to whatever direct effect the AI may have on learning

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          • 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.

            deborahh@cosocial.caD This user is from outside of this forum
            deborahh@cosocial.caD This user is from outside of this forum
            deborahh@cosocial.ca
            wrote sidst redigeret af
            #44

            @mklovenotcyber @metin

            Q: "Why are there below average genAI homeworks at all?"

            A: Some teachers penalise students for untruthful content (LLM "hallucinations") or if it's clear the student has not proofread what they've used from a LLM. Maybe that's why.

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            • 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.

              deborahh@cosocial.caD This user is from outside of this forum
              deborahh@cosocial.caD This user is from outside of this forum
              deborahh@cosocial.ca
              wrote sidst redigeret af
              #45

              @mklovenotcyber @metin my takeaway is: students using AI, who get higher scores homework assignments, get significantly lower scores on exams.

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              • poleguy@mastodon.socialP poleguy@mastodon.social

                @mklovenotcyber @metin Do I see Generative AI users dropping the absolute best exam scores, the best homework scores, and the lowest homework times?

                Seems like a win-win-win! 🙂

                I guess I gotta read the paper?

                deborahh@cosocial.caD This user is from outside of this forum
                deborahh@cosocial.caD This user is from outside of this forum
                deborahh@cosocial.ca
                wrote sidst redigeret af
                #46

                @poleguy @mklovenotcyber @metin no: gen-ai exam scores are significantly *lower*.

                poleguy@mastodon.socialP 1 Reply Last reply
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                • wesley@theatl.socialW wesley@theatl.social

                  @gisiger @aoanla @mklovenotcyber @metin But put another way, AI had no gain when being used to study if they spent the same amount of time for similar test scores

                  aoanla@hachyderm.ioA This user is from outside of this forum
                  aoanla@hachyderm.ioA This user is from outside of this forum
                  aoanla@hachyderm.io
                  wrote sidst redigeret af
                  #47

                  @wesley @gisiger @mklovenotcyber @metin I mean, the paper shows a much smaller negative effect for using AI whilst still doing homework (which might not even be significant) but yeah.

                  (The paper also notes that this is in contrast to various studies that suggest AI tutors can have a positive effect on student learning - generally its argument is that those are idealised, and that this real world study is not going to look as positive. This is a point I have also made to people proposing AI tutoring tools, so I am naturally sympathetic to it, but it's also hard to see other good explanations.)

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                  • deborahh@cosocial.caD deborahh@cosocial.ca

                    @poleguy @mklovenotcyber @metin no: gen-ai exam scores are significantly *lower*.

                    poleguy@mastodon.socialP This user is from outside of this forum
                    poleguy@mastodon.socialP This user is from outside of this forum
                    poleguy@mastodon.social
                    wrote sidst redigeret af
                    #48

                    @deborahh @mklovenotcyber @metin

                    See the rest of my conversation with @mklovenotcyber

                    Yes, the _mean_ is lower, and the side below the mean is significantly lower, but the very highest scores do look to be red, which seems to indicate they are from Gen AI users.

                    I have not yet read the paper, but when I do I'm interested to see if they have thoughts on this.

                    (In case anyone missed it, based on this tiny red peak value, I was _making a joke._)

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                    • 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.

                      eliocamp@mastodon.socialE This user is from outside of this forum
                      eliocamp@mastodon.socialE This user is from outside of this forum
                      eliocamp@mastodon.social
                      wrote sidst redigeret af
                      #49

                      @mklovenotcyber @metin The way I interpret the chart is dividing students that use AI vs don't use AI. That doesn't mean that they use AI for everything, so average or lower-than-average homework scores might indicate students that use AI a little. That also could explain why the gap between AI and no-AI is narrower there.

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                      • metin@graphics.socialM metin@graphics.social

                        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.

                        ● X-Axis: Homework scores
                        ● Y-Axis: Exam scores

                        🔗 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618

                        #tech #BigTech #AI #ArtificialIntelligence #LLM #AISlop

                        dianea@lgbtqia.spaceD This user is from outside of this forum
                        dianea@lgbtqia.spaceD This user is from outside of this forum
                        dianea@lgbtqia.space
                        wrote sidst redigeret af
                        #50

                        @metin

                        The best way to detoxify the brain from AI madness is to pick up an old copy of "C Programming Language" by Kernighan and Ritchie. And other thoughtful engineering books that started the revolution. Follow the path of wise architects, not billionaires.

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                        • metin@graphics.socialM metin@graphics.social

                          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.

                          ● X-Axis: Homework scores
                          ● Y-Axis: Exam scores

                          🔗 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618

                          #tech #BigTech #AI #ArtificialIntelligence #LLM #AISlop

                          chrispy@chaos.socialC This user is from outside of this forum
                          chrispy@chaos.socialC This user is from outside of this forum
                          chrispy@chaos.social
                          wrote sidst redigeret af
                          #51

                          @metin
                          @CHopen
                          #openeduday

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                          • saxnot@chaos.socialS saxnot@chaos.social

                            @mklovenotcyber @metin wow that is exceptionally bad data visualization.

                            to me this is really hard to parse, especially since there are two separate "white" shapes only differeniated by border colour

                            jdeisenberg@tech.lgbtJ This user is from outside of this forum
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                            wrote sidst redigeret af
                            #52

                            @saxnot @mklovenotcyber @metin

                            Thanks. I thought it was just me. All of the graphs I have seen posted in this thread seem badly designed. I suppose I will have to look at the paper and see if one word is worth a thousand pictures.

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                            • metin@graphics.socialM metin@graphics.social

                              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.

                              ● X-Axis: Homework scores
                              ● Y-Axis: Exam scores

                              🔗 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618

                              #tech #BigTech #AI #ArtificialIntelligence #LLM #AISlop

                              semantikast@openbiblio.socialS This user is from outside of this forum
                              semantikast@openbiblio.socialS This user is from outside of this forum
                              semantikast@openbiblio.social
                              wrote sidst redigeret af
                              #53

                              @metin What is the source of this specific figure? cause I cannot find it in exactly the same way in the linked study

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