Replied to a post by Davey Moloney (daveymoloney.com)

Interestingly, this article (https://www.edutopia.org/article/science-drawing-and-memory) highlights recent studies where “researchers found drawing information to be a powerful way to boost memory, increasing recall by nearly double” #​OpenBlog19

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I’m glad that there’s some more modern research around this general idea. Of course the reliance of humans on the power of visual memory goes back to ancient Greece with the method of loci and from the Renaissance (or earlier) with the mnemonic major system.

I know both systems intimately well since the age of about 11, though I haven’t written much about them on my site. (I should fix this, though there are some related tangents within my memory category.) I did notice a large overlap with the major system and Gregg shorthand a while back, which leads me to believe that they’ve got an even richer back history than most may presume.

I’ve always been confounded that these systems aren’t better known in modern culture, though some sources have indicated that religious influences tamped down their proliferation in the 1500’s.

 

Bookmarked The Surprisingly Powerful Influence of Drawing on Memory by Myra A. Fernandes, Jeffrey D. Wammes, Melissa E. Meade ( Current Directions in Psychological Science)

The colloquialism “a picture is worth a thousand words” has reverberated through the decades, yet there is very little basic cognitive research assessing the merit of drawing as a mnemonic strategy. In our recent research, we explored whether drawing to-be-learned information enhanced memory and found it to be a reliable, replicable means of boosting performance. Specifically, we have shown this technique can be applied to enhance learning of individual words and pictures as well as textbook definitions. In delineating the mechanism of action, we have shown that gains are greater from drawing than other known mnemonic techniques, such as semantic elaboration, visualization, writing, and even tracing to-be-remembered information. We propose that drawing improves memory by promoting the integration of elaborative, pictorial, and motor codes, facilitating creation of a context-rich representation. Importantly, the simplicity of this strategy means it can be used by people with cognitive impairments to enhance memory, with preliminary findings suggesting measurable gains in performance in both normally aging individuals and patients with dementia.
https://doi.org/10.1177/0963721418755385

Followed Davey Moloney (daveymoloney.com)
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I try to follow IndieWeb principles as much as possible on my site and use it as my central online presence and means of communication across the web. Take a look at how my website works (always a work in progress).

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I work as Technology Enhanced Learning Manager in Graduate & Professional Studies at the University of Limerick, Ireland, where I’m involved in the design and production of flexible online and blended postgraduate and professional education programmes for distance and workplace learners.

My main interests lie in open and online learning, educational technology, instructional and learning experience design, the IndieWeb, web decentralisation, technology in general, and all associated literacies and competencies.

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Read Does a new genetic analysis finally reveal the identity of Jack the Ripper? (Science | AAAS)
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Bookmarked Self-Organization and Artificial Life by Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama (arXiv.org)
Self-organization can be broadly defined as the ability of a system to display ordered spatio-temporal patterns solely as the result of the interactions among the system components. Processes of this kind characterize both living and artificial systems, making self-organization a concept that is at the basis of several disciplines, from physics to biology to engineering. Placed at the frontiers between disciplines, Artificial Life (ALife) has heavily borrowed concepts and tools from the study of self-organization, providing mechanistic interpretations of life-like phenomena as well as useful constructivist approaches to artificial system design. Despite its broad usage within ALife, the concept of self-organization has been often excessively stretched or misinterpreted, calling for a clarification that could help with tracing the borders between what can and cannot be considered self-organization. In this review, we discuss the fundamental aspects of self-organization and list the main usages within three primary ALife domains, namely "soft" (mathematical/computational modeling), "hard" (physical robots), and "wet" (chemical/biological systems) ALife. Finally, we discuss the usefulness of self-organization within ALife studies, point to perspectives for future research, and list open questions.

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