Forum Discussion
Scaling feedback?
Julie's right that with AI something's changed, but I think the hard part is now task design rather than the feedback itself. Most Rise and SL courses give the learner nothing to get feedback on. A tick or a cross tells you nothing about what they were thinking. Ask them to put the steps of a process in order, or to spot what's wrong in a worked example, and now you can see where they went wrong and say so. None of that needs AI either, it's just triggers and conditions.
Open response is where the AI could come in, and I'm a bit torn on it. I built a weekly challenge course that highlighted this, The Red Pen, and came away less convinced than I went in. Give a model a generic rubric and it produces confident, even-handed comments on everything, including the bits that don't matter. Learners trust that. At scale I suspect it's worse than no feedback at all, because nobody's questioning it…
Really interesting point. I wonder whether this is really just where community comes in. I suspect peer feedback is better than AI feedback. I think about something like the weekly challenges here that DavidAnderson runs and how those make such a difference to learning in comparison to just taking async training. I think the social learning and feedback is an aspect of that.
Maybe the honest answer is that it doesn't scale… I guess this is why using AI is tempting, and why I'm still wary of it!