I think I might pinch Dr Crazy’s strategy for grading essays – she uses a checklist as a front page where she checks off things like “Paper offers adequate context (historical, theoretical, and/or critical) for the claims that it makes about the text(s) under discussion” – or the contrary (“paper does not offer…”) and thus sums up strong and weak points allowing more useful feedback and more efficient grading – without sacrificing traditional comments in the margins.

I start a new teaching unit tomorrow: IKT og lÊring, or learning and technology. There’ll be lots on blogs and wikis, and some wonderful guests (I’m so lucky!) – and also essaywriting. It’s silly how motivating I find tricks like the one Dr Crazy described. Suddenly I’m all excited about getting to give feedback on essays soon. Good thing I know how to fool myself into working, eh?

1 Comment

  1. Norman Hanscombe

    The “Cover Sheet” approach (provided always that it’s tailored to fit the particular essay) is the only effective and efficient way to mark an essay. Sadly, some markers have used it to avoid having to make the traditional comments within the body of the essay, but I guess we can never prevent even the best of ideas being abused by some? But I’m confident you’ll treat it like salt and pepper — just because one comes across pepper, for the best results, you don’t suddenly stop applying salt to the meal?

Leave a Reply to Norman Hanscombe Cancel reply

Recommended Posts

Triple book talk: Watch James Dobson, Jussi Parikka and me discuss our 2023 books

Thanks to everyone who came to the triple book talk of three recent books on machine vision by James Dobson, Jussi Parikka and me, and thanks for excellent questions. Several people have emailed to asked if we recorded it, and yes we did! Here you go! James and Jussi’s books […]

Image on a black background of a human hand holding a graphic showing the word AI with a blue circuit board pattern inside surrounded by blurred blue and yellow dots and a concentric circular blue design.
AI and algorithmic culture Machine Vision

Four visual registers for imaginaries of machine vision

I’m thrilled to announce another publication from our European Research Council (ERC)-funded research project on Machine Vision: Gabriele de Setaand Anya Shchetvina‘s paper analysing how Chinese AI companies visually present machine vision technologies. They find that the Chinese machine vision imaginary is global, blue and competitive.  De Seta, Gabriele, and Anya Shchetvina. “Imagining Machine […]

Do people flock to talks about ChatGPT because they are scared?

Whenever I give talks about ChatGPT and LLMs, whether to ninth graders, businesses or journalists, I meet people who are hungry for information, who really want to understand this new technology. I’ve interpreted this as interest and a need to understand – but yesterday, Eirik Solheim said that every time […]