Explore the voices and resources of ALTC24
#ALTC Blog,
Sept 06, 2024
What I appreciate about this recap of the just-completed ALT conference is that everything is on one straightforward web page. It allowed me to explore the conference materials with easy and see the work in my own way. What struck me most was how little a role AI played in any of the presentations, as though the community has had a visceral response against it (which I think says more about the community than the technology). Anyhow, some highlights from the presentations (and I really wish they were full presentation pages, minimally like this, and not just Google Slides):
- Hannah John et al. on the role of learning types (could have used a learning type summary slide, so we can have the actual list, plus maybe a type-coding starter pack so we can code our own stuff)
- Lucy Hamilton et al. on a scientific problem solving course (I liked the way the class was presented but was curious about what 'scientific problem solving' actually is
- Lucy Thacker on electronic laboratory notebooks (as in scientific notebooks, which are a specific thing, not personal class notes)
- Stewart Utley on the like button (and more specifically, on social media engagement versus other sorts of learner engagement)
- Rob Lowney on learning analytics for critical data literacy (blending two interesting topics suggested by the Do Not Track web page)
The keynote sessions were presented as videos, featuring two panels (and I always wonder how students are selected for the student panel) and a keynote from Chris Friend (and you can view his presentation page with a transcript (that only marginally resembles the actual talk) and slides). The talk was OK, but I would rather see less restatement of popular arguments (localization, personalization, accessibility, empathy, care) and more on what the 'humane technology framework' actually it looks like.
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