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Efrat Furst

@efratfurst.bsky.social
1.2K followers 662 following 58 posts

Bridging cognitive science and education: teaching and supporting educators with research-informed, classroom-oriented content. Website: sites.google.com/view/efratfurst/te…

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Efrat Furst @efratfurst.bsky.social · 31/07/2025
What can we really learn from the case of Calculators in mathematics to the case of GenAI in education? sites.google.com/view/efratfu...
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
Here is the original image of the Embedded Processes model from: Cowan et al. "The relation between attention and memory." Annual Review of Psychology 75.1 (2024): 183-214.
https://www.annualreviews.org/content/journals/10.1146/annurev-psych-040723-012736
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
9/ The Embedded Processes model requires more knowledge and integration to grasp. Yet it is parsimonious and dynamic: we can follow one thread, from initial representation through binding and deactivation.
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
8/Further more: -The “WM limitations” stem from the limited attention capacity (3-5 items), and time of LTM activation (<1min). - Information can enter aLTM without attention (e.g. priming effects), or consciously either top-down (executive function) or bottom-up (prediction error) processes
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
7/ As attention fades or shifts, the new construct remains briefly in the activated (but unattended) LTM, before becoming inactive. Manipulation and the time in aLTM influence later consolidation and storage chances.
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
6/ Cowan Identifies an activated subset of LTM (aLTM), a small part of which is in the focus of attention (FoA). Information is selected for and may be binded, and combined with activated representations while in the FoA. 🧠Memory is working without a "Working Memory
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
4/ The model can explain “cognitive load” - when input exceeds WM capacity. But it doesn't address the Attention-WM or the WM-LTM interactions: How do “items” move from temporary storage to LTM representation?
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Efrat Furst @efratfurst.bsky.social · 10/01/2025
3/ This simple model highlights three cognitive functions as three “Stores”: attention, Working memory, and long-term memory (LTM) operating like a “conveyor belt”: selecting, processing and then storing information.
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Efrat Furst @efratfurst.bsky.social · 20/10/2024
Let's follow a new pattern through the phases of memory: Encoding, Consolidation, Storage, and Retrieval. Notice how the new pattern evolves from a "live" experience to newly-formed, then stored connections, ready for reactivation upon retrieval. And... what happens next?
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Efrat Furst @efratfurst.bsky.social · 20/10/2024
Let's follow a new pattern through the phases of memory: Encoding, Consolidation, Storage, and Retrieval. Notice how the new pattern evolves from a "live" experience to newly-formed, then stored connections, ready for reactivation upon retrieval. And... what happens next?
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Efrat Furst @efratfurst.bsky.social · 20/10/2024
This model highlights two key features of neuroplasticity: 1) Existing nodes & connections can be inactive or reactivated. 2) Activating new patterns can sometimes forge new connections (but generally not new nodes).
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Efrat Furst @efratfurst.bsky.social · 20/10/2024
Cognitive neuroscience uses simplified network models like this one to demonstrate how learning & memory might work at the network level. Nodes represent neurons, lines their connections (synapses), and the patterns - our knowledge.
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Efrat Furst @efratfurst.bsky.social · 20/10/2024
'Neuroplasticity' is everywhere, but what do we really mean when we talk about the ever-changing brain? Let's dive deeper than the buzzword and explore the evidence with a model.
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