- Last 7 days
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https://pressbooks.pub/illuminated/
A booklet prepared for teachers that introduces key concepts from the Science of Learning (i.e. cognitive neuroscience). The digital booklet is the result of a European project. Its content have been compiled from continuing professional development workshops for teachers and features evidence-based teaching practices that align with our knowledge of the Science of Learning.
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- Feb 2023
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title = What can cognitive science bring to art and museums?
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Comment = Maurice Benayoun has applied cognitive science, VR and AR too many at installations throughout his life.
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to guide you through this 00:06:24 model very quickly was first published in 2004 it's a lot cited in the field of empirical aesthetics it tries to explain how we process artworks by claiming that there are perceptual analyzers followed by 00:06:38 implicit memory integrations or familiarity aspects then explicit classifications where the perceiver in his perception perceives the style or the content 00:06:51 and then followed by later stages that we called cognitive mastering
- Cognitive science model of what happens in the brain of a perceiver of art
- The model was first published in 2004 it's cited often in the field of empirical aesthetics
- it tries to explain how we process artworks by claiming that:
- there are perceptual analyzers followed by
- implicit memory integrations or familiarity aspects then
- explicit classifications where the perceiver in his perception perceives the style or the content
- followed by later stages that we called cognitive mastering
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cognitive scientists can also provide museums and artists with a specific understanding of how the interaction between artworks and viewers can operate 00:02:34 so to discuss potential applications of cognitive sciences to museums and art
- cognitive science can provide museums and artists with a specific understanding
- of how the interaction between artworks and viewers can operate
- this meeting explores potential applications of cognitive sciences to museums and art
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- Oct 2022
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physicstoday.scitation.org physicstoday.scitation.org
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Cognitive-science research shows that people improve learning efficiency by practicing the set of specific cognitive tasks required for their area of expertise.11. K. A. Ericsson, R. T. Krampe, C. Tesch-Römer, Psych. Rev. 100, 363 (1993); https://doi.org/10.1037/0033-295X.100.3.363A. Ericsson, R. Pool, Peak: Secrets from the New Science of Expertise, HarperOne (2017). Although that approach is based on learning research, it is uncoincidentally quite similar to the ideal master–apprentice method for traditionally teaching a craft (see figure 1).
The master-apprentice model of teaching and learning in which the master breaks down a problem into a set of subskills which the apprentice solves and practices with regular feedback for improvement is broadly similar to best pathways shown in cognitive science research on improving learning efficiency for building expertise.
(restatement)
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- Sep 2022
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www.retrievalpractice.org www.retrievalpractice.org
- Aug 2022
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Holford, D. L., Juanchich, M., & Sirota, M. (2021). Ambiguity and unintended inferences about risk messages for COVID - 19. PsyArXiv. https://doi.org/10.31234/osf.io/w5rd6
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psyarxiv.com psyarxiv.com
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Desai, S. C., & Reimers, S. (2022). Does explaining the origins of misinformation improve the effectiveness of a given correction? PsyArXiv. https://doi.org/10.31234/osf.io/fxkzc
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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
- decision making
- social processing
- social cue
- cognitive psychology
- fMRI
- behavioral science
- working memory
- personality psychology
- age difference
- trust
- lang:en
- social associative learning
- judgement
- developmental psychology
- social science
- learning
- trust information
- aging
- is:preprint
- social cognition
- research
- social psychology
Annotators
URL
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- Jul 2022
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docdrop.org docdrop.org
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when we attribute sensory experiences to 00:06:39 ourselves for instance like the experience of red or the experience of seeing blue the model is external properties and we think of there as being inner properties just like those external properties that somehow we are 00:06:52 um we are seeing immediately
This comment suggests a Color BEing Journey. How can we demonstrate in a compelling way that color is an attribute of the neural architecture of the person and NOT a property of the object we are viewing?
See Color Constancy Illusion here:
David Eagleman in WIRED interview https://hyp.is/go?url=http%3A%2F%2Fdocdrop.org%2Fvideo%2FMJBfn07gZ30%2F&group=world
Beau Lotto, TED Talk https://hyp.is/go?url=http%3A%2F%2Fdocdrop.org%2Fvideo%2Fmf5otGNbkuc%2F&group=world
Andrew Stockman, TEDx talk on how we see color: https://hyp.is/go?url=http%3A%2F%2Fdocdrop.org%2Fvideo%2F_l607r2TSwg%2F&group=world
Science shows that color is an experience of the subject, not a property of the object: https://youtu.be/fQczp0wtZQQ but what Jay will go on to argue, is that this explanation itself is part of the COGNITIVE IMMEDIACY OF EXPERIENCE that we also take for granted.
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ocw.mit.edu ocw.mit.edu
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This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, we will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes?
When?
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so number one uh societal transformation is necessary if we're to avoid catastroph catastrophe and maintain and improve social and ecological well-being 00:18:00 that's the starting that's this that's where this whole thing starts that's something that's transformation is necessary number two uh one kind of societal transformation is is a science driven transformation 00:18:13 you know you can imagine all kinds of there could be war uh revolution could be a a type of of transformation and i'm not talking about revolution here i'm talking about a science-driven 00:18:24 evidence-based uh development of and migration to fundamentally new systems so we're talking about dinovo de novo design from scratch right this is so we're not 00:18:38 improving uh capitalism for example or represented democracy where we're looking at conceivable de novo designs that might be fit or among the most 00:18:52 fit of all possible designs number three is uh now um you know if i were a genius which which i'm not but if i were a genius and i came up with the 00:19:05 greatest plan that everyone could you know we could rearrange society according to this you know this design uh if there were no way to a practical way to implement that then i would have been wasting my time 00:19:19 so a big part of this series is actually especially paper number two is really focused on what what is a how could this actually be done in the real world how can how can you do this 00:19:32 um so i i claim at least that there is a viable and affordable uh way to go about transformation that within a reasonable span of time 00:19:44 uh and i and i when i consider 50 a 50-year program here to be a reasonable span of time transformation could spread to near global levels so um you know we're talking about a 00:19:57 concerted effort over a long period of time to reach a global scale change but that does not mean that no change happens until the 49th year it means that change happens 00:20:11 exponentially fast so maybe in the first few years there's you know there's not a lot going on but it goes exponentially fast from there and those communities local communities that participate in this 00:20:24 r d program would be obviously be the first to reap the benefits uh number four the and this is maybe one of the key world view aspects of this paper number one is all 00:20:37 about world view the proposed program views society as a cognitive organism and its societal systems as a cognitive architecture so you know that 00:20:50 if indeed society is a cognitive organism and ours and our systems are part of the cognitive architecture that already lends itself to ideas of how you might measure fitness now you're starting 00:21:02 we're starting to get an idea of what is a system supposed to do so we'll be getting more into that today number five the intrinsic purpose of a society now obviously if we're going to 00:21:17 build a new system we have to know for what is a new system supposed to do like what is an economic system supposed to do what is a governance system supposed to do what is the what is the purpose of them so uh uh 00:21:30 purpose is also a big part of the world view in the first paper and the i one of the points of the fifth point is that the intrinsic purpose of a society of societal uh cognition and thus also of societal 00:21:42 systems is to achieve and sustainably maintain social and economic ecological viability and vitality probably broadly defined now if you're listening carefully and 00:21:55 you're of the active inference persuasion you'll you'll already see active inference in here when i talk when we talk about um sustainably maintain that means and 00:22:07 anticipation of the future all right uh i also say here the cognition is largely focused on reducing the uncertainty that our intrinsic purpose will be successfully fulfilled 00:22:22 now and in the expected future so uh again we have a concept from active inference that is uncertainty um the cognitive view opens up many new opportunities for research 00:22:35 and and i feel like this view is really critical if we are to truly uh have some kind of of 00:22:46 optimally beneficial societal systems and uh number seven the last one this proposed r d program like i already mentioned it represents uh it's conceptual now but it represents a partnership 00:23:03 between local communities and the global science community um and the you know neither of those are monolithic the global science 00:23:15 community is you know it was a whatever however you might want to envision it a hundred labs or a thousand labs around the world or individual researchers or groups of researcher teams interdisciplinary teams at one 00:23:28 institution teams across institutions that is what i'm that is really who i'm speaking i'm in the in this series i'm speaking to the science world and i'm 00:23:38 suggesting or offering or or you know hoping that the science community might find this perspective interesting and see the the benefits that would be the 00:23:53 scientific benefits that would come of this the the research gains that would come of this the possibilities that would come of this and and and get engaged right so it's kind of a 00:24:06 like i'm asking the science community to get engaged in this problem in it and in a particular kind of way and in what some people have called a second to you know whatever the phrase escapes me 00:24:19 in the moment so i forget what the uh what is the title their second second i'm gonna just call it second order science but i think there's a slightly different phrase very interesting i remember reading this 00:24:36 second order yeah yeah second order science
The seven main thrusts: 1. societal transformation - necessary to avoid catastrophe 2. the specific type of transformation is science-based transformation based on entirely new systems - de novo 3. A practical way to implement the transformation in the real world - it must be economical, and doable within the short time window for system change before us. Considering a time period of 50 years for total change, with some types of change at a much higher priority than others.Those communities that are the first to participate would make the most rapid improvements. 4. Promoting a worldview of society as a social superorganism, a cognitive organism, and its societal systems as a cognitive architecture. 5. Knowing the intrinsic purpose of a society - each subsystem must be explained in terms of the overall intrinsic purpose. 6. The reason for transformation - Transformation that improves cognition reduces the uncertainty that our society's intrinsic purpose is fulfilled. 7. Forming a partnership between the global science community and the communities of the world.
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so obviously the word transformation is in the title of the 00:10:54 series so this you know the general topic is societal transformation and although that term alone is a little bit you know people have different ideas of what societal transformation means so i 00:11:07 want to make a few things clear i especially in the second paper i make the distinction between reform and trends and transformation 00:11:19 and by reform i mean anything that would you know improve our government system and prove our our economic system improve our legal system you know 00:11:33 one example might be uh levying taxes on the wealthy or something and then you know using those fees to to provide medical services or something 00:11:45 or altering how long a representative can be in and you know in congress in the legislature or something like that or ways to vote or things like that those really 00:11:59 those are all what i would consider reforms and i'm interested in a different question i'm interested in the question out of all conceivable ways to organize the societal systems and by 00:12:11 societal systems i really focus on a few of them uh governance systems economic systems uh legal systems educational systems and i think maybe one or two others out of 00:12:24 out of that i i view those systems as the cognitive architecture of a society that is that's how society thinks through 00:12:35 those systems it it learns it adapts it decides and and evolves kind of through that kind of cognitive architecture and my question 00:12:49 is out of all possible conceivable ways out of all con for example out of all conceivable economic systems what ones might be best for 00:13:01 uh for demonstratively showing that that they're you know they excel at in improving or maintaining um social environmental well-being 00:13:13 so so even that even there we have uh the concept of a fitness coming into this that is what out of all conceivable systems which are the most fit for purpose and now now 00:13:26 soon we can talk about what purpose might be but you know that that is a new question that's that is a question that's hardly been asked in the in the history and i think maybe um it's only now 00:13:38 that science has the tools and the theoretical understandings that maybe it's maybe this is right maybe maybe it is time that we can talk about the purpose of a society and 00:13:50 how fit a given system design might be
John distinguishes between reform and transformation. In the simplest terms, reform deals with changes to an existing paradigm whilst transformation deals with fundamental structural changes of an existing paradigm - a paradigm shift.
John views society as a social superorganism (SSO) and the major systems such as legal, economic, social, governance, education, etc as cognitive architectures of the SSO. The theoretical question being asked is: Of all possible variations, which one has the best fitness to the function of a society?
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- May 2022
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link.springer.com link.springer.com
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Interesting sounding high level paper about the limits and constraints on general intelligence and how this might relate to the struggles AI/ML research has had historically.
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- Mar 2022
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psyarxiv.com psyarxiv.com
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Agrawal, M., Peterson, J., Cohen, J. D., & Griffiths, T. (2022). Stress, Intertemporal Choice, and Mitigation Behavior During the COVID-19 Pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ureqg
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- Jan 2022
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nationalpost.com nationalpost.com
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Blackwell, T. (2022, January 18). Living for the moment: Study points to cognitive differences in people who are vaccine hesitant. National Post. https://nationalpost.com/health/living-for-the-moment-study-points-to-cognitive-differences-in-people-who-are-vaccine-hesitant
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- Dec 2021
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Garrido-Vásquez, P., & Rock, T. (2021). Judgments of truth are independently modulated by affect and repetition. PsyArXiv. https://doi.org/10.31234/osf.io/qajkb
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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
- pattern recognition
- human thought
- information processing
- generalizability
- causal reasoning
- knowledge
- lang:en
- unfamiliar circumstance
- cognitive science
- memory
- predictability
- representational language
- representational scheme
- is:article
- sophisticated associative model
- dual system of thinking
Annotators
URL
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- Nov 2021
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psyarxiv.com psyarxiv.com
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Hoffman, R., Mueller, S., Klein, G., & Litman, J. (2021). Measuring Trust in the XAI Context. PsyArXiv. https://doi.org/10.31234/osf.io/e3kv9
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- Oct 2021
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www.cogsciwa.com www.cogsciwa.com
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Www.cogsciWA.com. (n.d.). Www.CogsciWA.Com. Retrieved 4 October 2021, from https://www.cogsciwa.com/
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- Sep 2021
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www.nicholascarr.com www.nicholascarr.com
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Nicholas Carr explores cognitive science and media theory to understand how technology is change our brains through neuroplasticity.
Ezra Klein was in conversation with Richard Powers regarding his recent book, Bewilderment, exploring the way technology changes us by changing our environment. The medium is the message.
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www.sheldrake.org www.sheldrake.org
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The effects of spiritual practices are now being investigated scientifically as never before, and many studies have shown that religious and spiritual practices generally make people happier and healthier.
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theconversation.com theconversation.com
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Mixing science and art to make the truth more interesting than lies. (n.d.). Retrieved September 28, 2021, from https://theconversation.com/mixing-science-and-art-to-make-the-truth-more-interesting-than-lies-100221?utm_source=twitter&utm_medium=bylinetwitterbutton
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journals.sagepub.com journals.sagepub.com
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Rutjens, B. T., van der Linden, S., van der Lee, R., & Zarzeczna, N. (2021). A group processes approach to antiscience beliefs and endorsement of “alternative facts.” Group Processes & Intergroup Relations, 24(4), 513–517. https://doi.org/10.1177/13684302211009708
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- Aug 2021
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psyarxiv.com psyarxiv.com
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Orticio, E., Martí, L., & Kidd, C. (2021). Social prevalence information is rationally integrated in belief updating. PsyArXiv. https://doi.org/10.31234/osf.io/7gja2
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Pillai, Raunak, and Lisa Fazio. “The Effects of Repeating False and Misleading Information on Belief.” PsyArXiv, August 3, 2021. https://doi.org/10.31234/osf.io/z78xm.
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Sulik, J., & McKay, R. (2021). Studying science denial with a complex problem-solving task [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/huxm7
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- Jul 2021
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Bressan, P. (2021). Strangers look sicker (with implications in times of COVID-19). PsyArXiv. https://doi.org/10.31234/osf.io/x4unv
Tags
- behavioural immune system
- cognitive psychology
- cultural psychology
- survival
- framing
- heuristic
- facial resemblance
- infectious disease
- emotion
- emotion regulation
- lang:en
- ingroup
- prejudice
- life science
- COVID-19
- outgroup
- pathogen avoidance
- social science
- cross-cultural psychology
- psychological adaptation
- is:preprint
- family
- behavioural science
- bias
Annotators
URL
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www.nature.com www.nature.com
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<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Jill Rosen </span> in Team finds brain mechanism that automatically links objects in our minds | Hub (<time class='dt-published'>07/24/2021 18:07:51</time>)</cite></small>
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https://hub.jhu.edu/2021/07/09/how-the-mind-links-objects/
A study that quantifies association within the brain and indicates the region where it occurs.
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psyarxiv.com psyarxiv.com
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Erlich, A., Garner, C., Pennycook, G., & Rand, D. G. (2021). Does Analytic Thinking Insulate Against Pro-Kremlin Disinformation? Evidence from Ukraine [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4yrdj
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- May 2021
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psyarxiv.com psyarxiv.com
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Agarwal, A. (2021). The Accidental Checkmate: Understanding the Intent behind sharing Misinformation on Social Media. PsyArXiv. https://doi.org/10.31234/osf.io/kwu58
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psyarxiv.com psyarxiv.com
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Leblanc-Sirois, Y., Gagnon, M.-È., & Blanchette, I. (2020). Emotions, reasoning, and mental health as predictors of behavior during three phases of the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/2p39h
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psyarxiv.com psyarxiv.com
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Greene, C., & Murphy, G. (2020). Can fake news really change behaviour? Evidence from a study of COVID-19 misinformation. https://doi.org/10.31234/osf.io/qfnm3
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- Mar 2021
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en.wikipedia.org en.wikipedia.org
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en.wikipedia.org en.wikipedia.org
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psyarxiv.com psyarxiv.com
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Levy, N. L., & Ross, R. M. (2020). The cognitive science of fake news [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/3nuzj
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www.sciencedirect.com www.sciencedirect.com
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Rahnev, D. (2020). Confidence in the Real World. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2020.05.005
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psyarxiv.com psyarxiv.com
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Su, I., & Ceci, S. (2021, March 5). “Zoom Developmentalists”: Home-Based Videoconferencing Developmental Research during COVID-19. https://doi.org/10.31234/osf.io/nvdy6
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- Feb 2021
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link.aps.org link.aps.org
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Wang, X., Sirianni, A. D., Tang, S., Zheng, Z., & Fu, F. (2020). Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases. Physical Review X, 10(4), 041042. https://doi.org/10.1103/PhysRevX.10.041042
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psyarxiv.com psyarxiv.com
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Perez Santangelo, A., & Solovey, G. (2020, November 9). Time to Shine: Reliable Response-Timing Using R-Shiny for Online Experiments. https://doi.org/10.31234/osf.io/nuxdg
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- Dec 2020
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psycnet.apa.org psycnet.apa.org
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Jarecki, J. B., & Wilke, A. (2018). Into the black box: Tracing information about risks related to 10 evolutionary problems. Evolutionary Behavioral Sciences, 12(3), 230–244. Retrieved from: https://psycnet.apa.org/doiLanding?doi=10.1037%2Febs0000123
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psyarxiv.com psyarxiv.com
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Cargnino. M., Neubaum. G., Winter. S., (2020) We're a Good Match: Selective Political Friending on Social Networking Sites. PSyarxiv. Retrieved from: https://psyarxiv.com/9dmgf/
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www.scientificamerican.com www.scientificamerican.com
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US, J. R. E., Christian Meissner,Deborah Goldfarb,Ian Jason Lee,The Conversation. (n.d.). New DIY Contact Tracing App Is Based on the Science of Memory. Scientific American. Retrieved December 10, 2020, from https://www.scientificamerican.com/article/new-diy-contact-tracing-app-is-based-on-the-science-of-memory/
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Pennycook, G., & Rand, D. (2020). The Cognitive Science of Fake News. PsyArXiv. https://doi.org/10.31234/osf.io/ar96c
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- Sep 2020
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behavioralscientist.org behavioralscientist.org
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Behavioral Scientist. ‘Creating Citizen Choice Architects - By Ralph Hertwig & Samuli Reijula’, 28 September 2020. https://behavioralscientist.org/creating-citizen-choice-architects/.
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www.theguardian.com www.theguardian.com
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Facts v feelings: How to stop our emotions misleading us. (2020, September 10). The Guardian. http://www.theguardian.com/science/2020/sep/10/facts-v-feelings-how-to-stop-emotions-misleading-us
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journals.sagepub.com journals.sagepub.com
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Fazio, L. K., & Sherry, C. L. (2020). The Effect of Repetition on Truth Judgments Across Development. Psychological Science, 0956797620939534. https://doi.org/10.1177/0956797620939534
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psyarxiv.com psyarxiv.com
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Schnuerch, M., Nadarevic, L., & Rouder, J. (2020). The truth revisited: Bayesian analysis of individual differences in the truth effect [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/nfm6k
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psyarxiv.com psyarxiv.com
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Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.
Tags
- exploration-exploitation tradeoff
- predictive accuracy
- AI
- machine learning
- experimental approach
- artificial intelligence
- lang:en
- information filtering
- algorithms
- parameterized model
- cognitive science
- computer science
- active learning
- Internet
- recommendation accuracy
- is:preprint
- recommender system
Annotators
URL
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now.tufts.edu now.tufts.edu
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Warning witnesses of the possibility of misinformation helps protect their memory accuracy. (2020, August 30). Tufts Now. https://now.tufts.edu/news-releases/warning-witnesses-possibility-misinformation-helps-protect-their-memory-accuracy
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- Aug 2020
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twitter.com twitter.com
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ReconfigBehSci {@SciBeh} (2020) this kind of piece behavioural scientists need to reject! A shallow understanding of the bias literature in an even shallower application to the pandemic- the idea that believing lockdowns brought down infection rates is an example of the "post hoc fallacy" is bizarre 1/3. Twitter. Retrieved from: https://twitter.com/SciBeh/status/1298939778340184065
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- Jul 2020
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www.youtube.com www.youtube.com
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MCLS Virtual Brown Bag June 12, 2020: Bayesian Modelling. (2020, June 15). https://www.youtube.com/watch?v=7LLZPNLhn5o
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psyarxiv.com psyarxiv.com
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Xie, W., Campbell, S., & Zhang, W. (2020, May 5). Working Memory Capacity Predicts Individual Differences in Social Distancing Compliance during the COVID-19 Pandemic in the U.S. https://doi.org/10.31234/osf.io/3j69f
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www.youtube.com www.youtube.com
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Uni Trento. (2020, July 10-11). Think Open Rovereto Workshop 2020. https://www.youtube.com/playlist?list=PLiX54geLkpPL4brRcYfnekp42PLJi5eEe
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psyarxiv.com psyarxiv.com
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Matamala-Gomez, M., Maselli, A., Malighetti, C., Realdon, O., Mantovani, F., & Riva, G. (2020). Body illusions for mental health: A systematic review [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mk69x
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Guerrero, R. J. A., Parra, A. B., Cahua, J. C. H., & Banaszak-Holl, J. (2020). Psychological problems associated with coping strategies: A web-based study in Peruvian population during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/uarwz
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- May 2020
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psyarxiv.com psyarxiv.com
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Zmigrod, L., Eisenberg, I. W., Bissett, P., Robbins, T. W., & Poldrack, R. (2020, April 14). A Data-Driven Analysis of the Cognitive and Perceptual Attributes of Ideological Attitudes. https://doi.org/10.31234/osf.io/dgaxr
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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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www.sciencedirect.com www.sciencedirect.com
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Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Johnson, S. G. B., Bilovich, A., & Tuckett, D. (2020, April 30). Conviction Narrative Theory: A Theory of Choice Under Radical Uncertainty. Retrieved from psyarxiv.com/urc96
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www.nature.com www.nature.com
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Morey, R.A., Haswell, C.C., Stjepanović, D. et al. Neural correlates of conceptual-level fear generalization in posttraumatic stress disorder. Neuropsychopharmacol. (2020). https://doi.org/10.1038/s41386-020-0661-8
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psyarxiv.com psyarxiv.com
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Erceg, N., Ružojčić, M., & Galic, Z. (2020, April 10). Misbehaving in the Corona Crisis: The Role of Anxiety and Unfounded Beliefs. https://doi.org/10.31234/osf.io/cgjw8
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psyarxiv.com psyarxiv.com
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Rafiei, F., & Rahnev, D. (2020, April 9). Does the diffusion model account for the effects of speed-accuracy tradeoff on response times?. https://doi.org/10.31234/osf.io/bhj85
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docs.google.com docs.google.com
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cognitivesciencesociety.org cognitivesciencesociety.org
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Hahn, U. (2020 April 7). COVID-19, cognitive science, and adaptive responding: What can the cogsci community do?. Cognitive Science Society. https://cognitivesciencesociety.org/covid-19-cognitive-science-response/.
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journal.sjdm.org journal.sjdm.org
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Dhami, Mandeep & Olsson, Henrik. (2008). Evolution of the interpersonal conflict paradigm. Judgment and Decision Making. 3. 547-569. http://journal.sjdm.org/8510/jdm8510.pdf
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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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www.thelancet.com www.thelancet.com
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Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, S2215036620301681. https://doi.org/10.1016/S2215-0366(20)30168-1
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psyarxiv.com psyarxiv.com
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Bailey, A., Knobe, J., & Newman, G. (2020). Value-based Essentialism: Essentialist Beliefs About Non-biological Social Groups [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m2eby
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- Aug 2019
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www.kappanonline.org www.kappanonline.org
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Retrieval practice boosts learning by pulling information out of students’ heads (by responding to a brief writing prompt, for example), rather than cramming information into their heads (by lecturing at students, for example). In the classroom, retrieval practice can take many forms, including a quick no-stakes quiz. When students are asked to retrieve new information, they don’t just show what they know, they solidify and expand it. Feedback boosts learning by revealing to students what they know and what they don’t know. At the same time, this increases students’ metacognition — their understanding about their own learning progress. Spaced practice boosts learning by spreading lessons and retrieval opportunities out over time so that new knowledge and skills are not crammed in all at once. By returning to content every so often, students’ knowledge has time to be consolidated and then refreshed. Interleaving — or practicing a mix of skills (such as doing addition, subtraction, multiplication, and division problems all in one sitting) — boosts learning by encouraging connections between and discrimination among closely related topics. Interleaving sometimes slows students’ initial learning of a concept, but it leads to greater retention and learning over time.
How can I build this into my curriculum?
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- Sep 2016
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www.sr.ithaka.org www.sr.ithaka.org
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Activities such as time spent on task and discussion board interactions are at the forefront of research.
Really? These aren’t uncontroversial, to say the least. For instance, discussion board interactions often call for careful, mixed-method work with an eye to preventing instructor effect and confirmation bias. “Time on task” is almost a codeword for distinctions between models of learning. Research in cognitive science gives very nuanced value to “time spent on task” while the Malcolm Gladwells of the world usurp some research results. A major insight behind Competency-Based Education is that it can allow for some variance in terms of “time on task”. So it’s kind of surprising that this summary puts those two things to the fore.
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- Jun 2016
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aeon.co aeon.co
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A few cognitive scientists – notably Anthony Chemero of the University of Cincinnati, the author of Radical Embodied Cognitive Science (2009) – now completely reject the view that the human brain works like a computer. The mainstream view is that we, like computers, make sense of the world by performing computations on mental representations of it, but Chemero and others describe another way of understanding intelligent behaviour – as a direct interaction between organisms and their world.
http://psychsciencenotes.blogspot.com/p/about-us.html<br> Psychologists Andrew Wilson and Sabrina Golonka
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Misleading headlines notwithstanding, no one really has the slightest idea how the brain changes after we have learned to sing a song or recite a poem. But neither the song nor the poem has been ‘stored’ in it. The brain has simply changed in an orderly way that now allows us to sing the song or recite the poem under certain conditions. When called on to perform, neither the song nor the poem is in any sense ‘retrieved’ from anywhere in the brain, any more than my finger movements are ‘retrieved’ when I tap my finger on my desk. We simply sing or recite – no retrieval necessary.
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- Dec 2015
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math.mit.edu math.mit.eduCT4S.pdf1
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Agreementis the good stuff in science; it’s the high fives.But it is easy to think we’re in agreement, when really we’re not. Modeling ourthoughts on heuristics and pictures may be convenient for quick travel down the road,but we’re liable to miss our turnoff at the first mile. The danger is in mistaking ourconvenient conceptualizations for what’s actually there. It is imperative that we havethe ability at any time to ground out in reality.
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