Tootfinder

from my link log —
Supercomputing on Nitro in AWS cloud with Scalable Reliable Datagram (SRD).
https://ieeexplore.ieee.org/document/9167399
saved 2020-09-18

> Curiously, if you read the New York Times story about this decision, the fact that it’s a top Trump donor, Ellison, who would benefit from this EO, simply isn’t mentioned. They didn’t think that was relevant.
"A fish has no concept of water"

Trump Issues Meaningless Executive Order To Try And Protect Larry Ellison’s CBS (And The Army Navy Game) From Competition
FCC boss Brendan Carr spends an awful lot of time pretending to be a tough guy, threatening any broadcasters that aren’t suitably deferential to our mad, idiot king. Carr’s had giant te…

Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti
https://arxiv.org/abs/2603.28370 https://arxiv.org/pdf/2603.28370 https://arxiv.org/html/2603.28370
arXiv:2603.28370v1 Announce Type: new
Abstract: Neurodiverse learners often require reading supports, yet increasing scaffold richness can sometimes overload attention and working memory rather than improve comprehension. Grounded in the Construction-Integration model and a contingent scaffolding perspective, we examine how structural versus semantic scaffolds shape comprehension and reading experience in a supervised inclusive context. Using an adapted reading interface, we compared four modalities: unmodified text, sentence-segmented text, segmented text with pictograms, and segmented text with pictograms plus keyword labels. In a within-subject pilot with 14 primary-school learners with special educational needs and disabilities, we measured reading comprehension using standardized questions and collected brief child- and therapist-reported experience measures alongside open-ended feedback. Results highlight heterogeneous responses as some learners showed patterns consistent with benefits from segmentation and pictograms, while others showed patterns consistent with increased coordination costs when visual scaffolds were introduced. Experience ratings showed limited differences between modalities, with some apparent effects linked to clinical complexity, particularly for perceived ease of understanding. Open-ended feedback of the learners frequently requested simpler wording and additional visual supports. These findings suggest that no single scaffold is universally optimal, reinforcing the need for calibrated, adjustable scaffolding and provide design implications for human-AI co-regulation in supervised inclusive reading contexts.
toXiv_bot_toot

from my link log —
Supercomputing on Nitro in AWS cloud with Scalable Reliable Datagram (SRD).
https://ieeexplore.ieee.org/document/9167399
saved 2020-09-18