Jenny Weight’s course on programmed and networked media is fascinating, both for the topic and because there are lots and lots of creative ideas for stuff to do in class with (and without) blogs. For instance, visualise the network, figure out what cyberspace is, find out who actually said “Information wants to be free”, and why, and consider whether the sites you found are authoritative, do the following things in a MOO, figure out what the new scandal about Prince Charles is and discuss why this can be published on the web but not in conventional (or at least UK and Australian) media, and so on. It also provides an example of how you might assess blogwork, along with an inclass exercise because the students will ask what on earth that means. This is similar to the way I did this last semester in my blogging web design and aesthetics course, though my info’s all in Norwegian) and so on.

Nick Olejniczak has opened up a wiki for a class on blogging he’s teaching next spring, and invites people to add suggestions, links, readings and so on to it. That’s great, but what I’d really like is a collaborative wiki or weblog with good categories where teachers using blogs to teach internet-related topics can share ideas and exercises and assessment forrms. What a treasure trove that would be!


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

2 thoughts on “ideas

  1. jenny

    Hi Jill

    now my course is once and for all “outted” thanks for the kind words.

    I’m lucky that the students are postgrads and they can deal with a level of chaos; and they are also really good at self-directed learning.

    I think less sophisticated students may demand more structure.

    I think I’m also lucky in that the students are interested in an exercise based model of learning; there are not many points in my classes which are like lectures. I tend to make them go off and find out by themselves (a lot of this is in groups).

    I might have more to say when the course is finished if you (and Nick, whose wiki I looked at) are interested

    Shame I can’t read Norwegian, I’ll have to put it on the list.

  2. […] Have a look at some of Jenny Weight’s ideas […]

Leave A Comment

Recommended Posts

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]

Don’t do a systematic review if you’re in the humanities

This paper is a great example of why you probably shouldn’t use a systematic literature review for a theoretical and conceptual research question like “How does artificial intelligence affect the perception of authenticity and aura in art?” However, if you’re looking for an annotated list of 48 recent articles about […]