Nearly 90% of teachers believe in learning styles. The research says otherwise. Time to close the gap. 🧠 #ScienceOfReading #EdResearch #CognitiveScience #CogSci #TeacherPD #TheClassroomLie
2
1
0
0
Hashtag
#cogsci
Advertisement · 728 × 90
Perception and memory rely on overlapping brain circuits, meaning what you see is partly constructed from what you've seen before. #cogsci #neuroscience #philosophy
dailyneuron.com/perception-a...
7
2
0
0
Released: PUTMAN Interpretive Debugger
A narrow demo for contextual meaning reconstruction: same token, different context package, different result. Bridge relations matter. Rigidity can narrow what stays interpretable.
Live demo: putmanmodel.github.io/putman-inter...
#AI #CogSci #NarrativeDesign
0
0
1
0
Photo showing Philipp Haueis in front of an audience pf philosophers, behind him a slide with a conceptual model of the term „cortical column“ in neuroscience, showing a Greek temple to illustrate that neuroscientists in the 1970s thought that the brain was similarly organized into vertical pillars.
Ingas a great time presenting and discussing my work on patchwork concepts and the dynamics of scientific understanding at the HPS department in Athens. Thanks to all participants for the great feedback and Theodore Arabatzis for hosting me!
#philsci #edusky #cogsci #philskyence
8
0
0
0
I wrote a summary of our author meets critics special issue @phimisci.bsky.social at the brains blog: philosophyofbrains.com/2026/03/23/b...
#philskyence #edusky #cogsci #neursoskyence
0
0
0
0
Students think rereading helps them learn. Research says the opposite. 🔬 The testing effect is one of the most powerful tools we're underusing. New post 👇 #CogSci #EdLeadership #ScienceOfLearning #FESTigers
3
1
0
0
I had the honor to edit wonderful commentaries by @okaydaniellle.bsky.social, @zoedrayson.bsky.social, @neuroai.bsky.social, @jake-browning.bsky.social, @nicohinrichs.bsky.social,
@andreablomkvist.bsky.social and colleagues, as well as Nedah Nemati
#cogsci, #philsky, #neuroskyence, #edusky
6
0
1
1
A new analysis argues that the current debate on AI consciousness reveals more about the limits of our scientific methods than it does about machines. #cogsci #consciousness #AI
dailyneuron.com/the-debate-o...
0
0
0
0
We treat language as a neutral tool for describing reality, but what if it's actually creating it? | https://bit.ly/4uxxAjd
Neuroscientist Jeremy Skipper argues that language itself is an altered state of consciousness, and only by losing it can we see the world as it really is.
#philsci #cogsci
6
1
0
1
Afternoon boost for this morning's newsletter - a really neat set of studies which show how collective intelligence can be enhanced if groups structure their discussions, breaking down big questions into smaller parts. Even when the component answers are still uncertain, the overall accuracy of […]
1
3
0
0
Os comparto una infografía en la que resumo las diez ilusiones en la enseñanza que @paulkirschner.bsky.social @carlhendrick.substack.com y Jim Heal analizan y desarrollan en su fantástico libro "Instructional Illusions". #RecomiendoLeer
#cogsci
2
1
0
0
Portrait of Judith Ellen Fan, a woman with straight dark hair and short bangs, smiling at the camera and wearing a dark green blouse and a delicate geometric necklace. Set against a teal background, the graphic reads: “Congratulations to Judith Ellen Fan (Stanford University), winner of the 2026 Lila R. Gleitman Prize for Early-Career Contributions to Cognitive Science.”
Congratulations to Judith Ellen Fan @judithfan.bsky.social, recipient of the 2026 Lila R. Gleitman Prize.
Dr. Fan's research reflects the broad scope of modern #CogSci, bridging #psychology, #neuroscience, vision science, and #education.
Learn more at cognitivesciencesociety.org/gleitman-prize/
41
2
0
0
A 3D cartoon alien with a round pink face looks forward. It has large green eyes, a small pink nose, bright blue lips, and short orange eyebrow shapes above its eyes. Blue ear-like shapes stick out on both sides of its head. Two thin antennae rise from the top of its head and bend outward, each ending in shiny, speckled spheres. The background is plain light gray.
How do humans learn to weight signals when reasoning about emotions? Children change both kinds of cues they rely on and the ways they use cues in their reasoning. New work from Andrea Stein using adorable stimuli, too. 🧪 dx.doi.org/10.1111/desc... #cogsci #devsci #AffectSci
#PsychSciSky
11
3
1
0
Check out the up-to-date preprint here: osf.io/preprints/ps...
(p.s. previous versions of this work appeared at #IC2S2 and #CogSci)
2
1
0
0
I’ve been reading Zoltán Kövecses’s Extended Conceptual #MetaphorTheory. I was going to do a notes thread, but I’m hesitant bc I feel it would just be a steady stream of complaints and disagreements. Perhaps I should just move on to something else. hmmm
#linguistics #cognitivelinguistics #cogsci
1
0
0
0
!["In terms of individual differences, there is a positive main effect of logical reasoning (𝛽 ̂ = 0.22, 95% CrI = [0.06, 0.38]) and ToM (𝛽 ̂ = 0.26, 95% CrI = [0.10, 0.42]), meaning that participants with higher logical reasoning and ToM selected the target more often. There is no main effect of memory (𝛽 ̂ = 0.06, 95% CrI = [-0.10, 0.22]).
There is also a positive interaction of logical reasoning with condition, whereby the effect of logical reasoning is stronger in the simple condition (𝛽 ̂ = 0.45, 95% CrI = [0.13, 0.78]), but no interaction of memory or ToM with condition."](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:jf4udtyuylqocyyrqdwqoxuf/bafkreiawpggpbcdyapj54x5rbrq33yk5locc2rumm7shbuft5pgwhk2lqi)
"In terms of individual differences, there is a positive main effect of logical reasoning (𝛽 ̂ = 0.22, 95% CrI = [0.06, 0.38]) and ToM (𝛽 ̂ = 0.26, 95% CrI = [0.10, 0.42]), meaning that participants with higher logical reasoning and ToM selected the target more often. There is no main effect of memory (𝛽 ̂ = 0.06, 95% CrI = [-0.10, 0.22]). There is also a positive interaction of logical reasoning with condition, whereby the effect of logical reasoning is stronger in the simple condition (𝛽 ̂ = 0.45, 95% CrI = [0.13, 0.78]), but no interaction of memory or ToM with condition."
"Fig 8 visualizes the effects of logical reasoning and ToM in the two implicature conditions."
What helps people understand conversational cues?
Correctly identifying implications correlated not just with "theory of mind", but also reflective and logical reasoning. Short-term memory? Not so much.
doi.org/10.1371/jour...
#communication #cogSci #linguistics #xPhi #logic
3
0
0
0
How does the brain decide which mental strategy to use when inferring others' beliefs?
Excited to (finally!) see my first first-author paper out @natneuro.nature.com
Summary below 🧵 #CogSci #CogNeuro
www.nature.com/articles/s41...
81
29
1
5
The easiest way to convey how Consciousness and Attention are not the same: "The Cocktail Party Effect"
en.wikipedia.org/wiki/Cocktai...
#CognitiveScience #CogSCI #COGS
12
0
0
0
Huge shoutout to my lab mates Zheng Li, Hassan Andrabi, and Hoang Long Nguyen who did an absolutely stellar job delivering their (first?) conference talks! 👏
Big thanks to the organisers, especially Cloudy, for a fantastic event.
#MathPsych #CogSci #Ageing #AcademicSky #DecisionScience #AMPC2026
3
1
0
0
Deadline is Friday! If you've been on the fence about BAMB! 2026 — jump. It's one of the best summer schools for behavioral & computational modeling out there, and I'd know 😄
Apply → bambschool.org
#Neuroscience #CogSci #ComputationalNeuroscience #SummerSchool #AcademicBsky
8
2
0
0
Book cover of “Temporal Cognition in Animals” by Angelica Kaufmann in the Cambridge Elements: The Philosophy of Biology series. Against a black background, the title is surrounded by Ernst Haeckel’s illustrations of marine organisms—radial, symmetrical forms in vivid blues, oranges, reds, and greens.
Do non-human animals represent time? New Element in the #PhilBio series by Angelica Kaufmann—free to download until March 16! Kaufmann argues that temporal cognition is widespread across many animal species & advances comparative analyses 👇📕 www.cambridge.org/core/element... #evosky #HPS #cogsci
109
44
2
1
Just put up a new YouTube short about a classic #cogsci experiment: Our poor memory for what a penny looks like! Given that the penny is retiring, I thought it was worth talking about this great piece of #psychology history. Enjoy!
12
4
1
0
AI won't reduce the number of programmers. It will create millions more, because running code you cannot understand is not programming. It is faith.
www.ocrampal.com/there-will-b...
#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy
5
1
1
1
He escrito un nuevo hilo esta vez sobre el fenómeno ovni y los sesgos que hay detrás. 👇👇👇👇
#CognitiveBias #OVNI #cogsci #psychky #scicomm #cienciaÑ #PensamientoCritico
1
2
0
0
2
0
0
0
12
5
0
0
Chomsky‘s conspiracy style left-wing politics aside, will the Epstein saga stain his legacy in #linguistics and #cogsci? #Chomsky
1
0
0
0
The image shows why the patchwork of „cortical column“ failed to identify a cortical building block in the brain - drawing on the idea of blurry objects of research by @ufeest.bsky.social .
Now onwards to sending the manuscript out to publishers! (2/2)
#philsci #edusky #neuroskyence #cogsci
3
0
0
0
I cannot believe they keep organizing conferences in my own city. How am I supposed to justify flying somewhere, eating expensive cheese, and whispering "ah yes, ontology" in a dramatic accent? This is sabotage.
#philosophy #philsky #consci #cogsci #science
10
1
0
0
The four experimental conditions.
The two learning metrics.
"As shown in Figure 13, there is no significant difference across treatments for both the learning during intervention (𝐹 (3, 398) = 1.046, 𝑝 = 0.372) and learning after intervention (𝐹 (3, 398) = 1.193, 𝑝 = 0.312)."
"Figure 13: Comparisons on participants’ learning (a) while receiving the AI assistance intervention (b) after receiving the AI assistance intervention. Values for the Human-only treatment are computed based on the normalized change of decision accuracy between corresponding sessions of tasks (learning during intervention: tasks 6–15 vs. tasks 1–5, learning after intervention: tasks 16–20 vs. tasks 1–5); they provide a baseline for organic learning happened due to repetitive task completion without AI assistance interventions. Error bars represent 95% confidence intervals of the mean values."
Do people learn more from #AI decision assistants?
This experiment found insignificant improvement in learning during and after three forms of AI-assisted decision-making, compared to human-only decision-making.
doi.org/10.48550/arX...
#edu #teaching #cogSci #eduTech #compSci
2
0
0
0