- May 2024
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www.linkedin.com www.linkedin.com
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***Deep Processing***-> It's important in learning. It's when our brain constructs meaning and says, "Ah, I get it, this makes sense." -> It's when new knowledge establishes connections to your pre-existing knowledge.-> When done well, It's what makes the knowledge easily retrievable when you need it. How do we achieve deep processing in learning? 👉🏽 STORIES, EXPLANATIONS, EXAMPLES, ANALOGIES and more - they all promote deep meaningful processing. 🤔BUT, it's not always easy to come up with stories and examples. It's also time-consuming. You can ask you AI buddies to help with that. We have it now, let's leverage it. Here's a microlesson developed on 7taps Microlearning about this topic.
Reply to Nidhi Sachdeva: I agree mostly, but I would advice against using AI for this. If your brain is not doing the work (the AI is coming up with the story/analogy) it is much less effective. Dr. Sönke Ahrens already said: "He who does the effort, does the learning."
I would bet that Cognitive Load Theory also would show that there is much less optimized intrinsic cognitive load (load stemming from the building or automation of cognitive schemas) when another person, or the AI, is thinking of the analogies.
https://www.linkedin.com/feed/update/urn:li:activity:7199396764536221698/
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- Aug 2022
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Seaman, K. L., Christensen, A. P., Senn, K., Cooper, J., & Cassidy, B. S. (2022). Age Differences in the Social Associative Learning of Trust Information. PsyArXiv. https://doi.org/10.31234/osf.io/b38rd
Tags
- research
- social associative learning
- working memory
- personality psychology
- is:preprint
- social cue
- trust
- lang:en
- judgement
- social psychology
- behavioral science
- social cognition
- learning
- social processing
- fMRI
- age difference
- decision making
- aging
- social science
- trust information
- cognitive psychology
- developmental psychology
Annotators
URL
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- May 2022
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Local file Local file
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.Adopting the habit of knowledge capture has immediate benefitsfor our mental health and peace of mind. We can let go of the fearthat our memory will fail us at a crucial moment. Instead of jumpingat every new headline and notification, we can choose to consumeinformation that adds value to our lives and consciously let go of therest.
Immediate knowledge capture by highlighting, annotating, or other means when taking notes can help to decrease cognitive load. This is similar to other productivity methods like quick logging within a bullet journal system, writing morning pages, or Getting Things Done (GTD). By putting everything down in one place, you can free your mind of the constant need to remember dozens of things. This frees up your working memory to decrease stress as you know you've captured the basic idea for future filtering, sorting, and work at a later date.
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- Jan 2022
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www.biorxiv.org www.biorxiv.org
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Fernandez-Castaneda, A., Lu, P., Geraghty, A. C., Song, E., Lee, M.-H., Wood, J., Yalcin, B., Taylor, K. R., Dutton, S., Acosta-Alvarez, L., Ni, L., Contreras-Esquivel, D., Gehlhausen, J. R., Klein, J., Lucas, C., Mao, T., Silva, J., Pena-Hernandez, M., Tabachnikova, A., … Monje, M. (2022). Mild respiratory SARS-CoV-2 infection can cause multi-lineage cellular dysregulation and myelin loss in the brain (p. 2022.01.07.475453). https://doi.org/10.1101/2022.01.07.475453
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- Dec 2021
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Sloman, S. A. (2021). How Do We Believe? Topics in Cognitive Science, 0(2021), 1–14. https://doi.org/10.1111/tops.12580
Tags
- representational scheme
- unfamiliar circumstance
- memory
- is:article
- sophisticated associative model
- dual system of thinking
- lang:en
- cognitive science
- knowledge
- information processing
- predictability
- causal reasoning
- human thought
- generalizability
- representational language
- pattern recognition
Annotators
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- Sep 2020
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psyarxiv.com psyarxiv.com
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Haas, I. J., Baker, M., & Gonzalez, F. (2020). Political Uncertainty Moderates Neural Evaluation of Incongruent Policy Positions. https://doi.org/10.31234/osf.io/bmr59
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- Jul 2020
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psyarxiv.com psyarxiv.com
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Yuan, Y., Oishi, S., Cronin, C., MĂĽllensiefen, D., Atkinson, Q., Fujii, S., & Savage, P. E. (2020). Perceptual vs. Automated judgments of music copyright infringement [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/tq7v5
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Edgcumbe, D. (2020). PrePrint Version (Edgcumbe, 2020): The developmental trajectory of open-mindedness: from 18 to 87-years of age. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fnrmv
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- May 2020
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journals.plos.org journals.plos.org
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Rahmani P, Peruani F, Romanczuk P (2020) Flocking in complex environments—Attention trade-offs in collective information processing. PLoS Comput Biol 16(4): e1007697. https://doi.org/10.1371/journal.pcbi.1007697
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- Apr 2020
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www.nature.com www.nature.com
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Antov, M.I., Plog, E., Bierwirth, P. et al. Visuocortical tuning to a threat-related feature persists after extinction and consolidation of conditioned fear. Sci Rep 10, 3926 (2020). https://doi.org/10.1038/s41598-020-60597-z
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