Skip to content

Comment on White noise improves learning by modulating activity in midbrain regions (2014)parent

Comments

Regarding doodling, it seems that any active productive study method is at least somewhat beneficial. I've found this in my own personal experiments. For example, testing myself with cloze deletions, creating Anki cards, generating mind maps, Cornell notes, inline annotation/marginalia, doodling, generating questions, generating mnemonics, mind palaces, etc.

An interesting one is reading and reciting out loud: https://www.tandfonline.com/doi/full/10.1080/09658211.2017.1...

Another non-intuitive method that is helping me a lot is pacing around my house slowly while I read. It goes to show that cognition is an embodied phenomenon. It's unintuitive when intelligence is viewed from the traditional split mind/body paradigm but just take a look at an image of our nervous systems. Those wires to and from our brain and guts wrap around every part of us.

Memory and retention in learning > Methods of improving memory and retention https://en.wikipedia.org/wiki/Memory_and_retention_in_learni...

Mnemosyne/Anki, (FreeMind, yEd, Gephi, AtomSpace as-moses, RDF bnodes, ONNX,) mind maps, RestructuredRext, MyST-Markdown, todo.txt (TaskWarrior,), StructuredProcrastination, ActivityWatch, Dogsheep, *-to-sqlite, awesome-quantified-self, https://github.com/woop/awesome-quantified-self

But metrics for actual memory retention? I've heard of TinCan xAPI w/ a LRS. nbgrader, Khan Academy exercises, OpenBadges to demonstrate proficiency,

Awesome. Thanks for the resources. Coincidentally, I stumbled on this research today on the effect of exercise + meditation on word recall: https://hpp.tbzmed.ac.ir/PDF/hpp-9-314.pdf

"Episodic memory enhancement versus impairment is determined by contextual similarity across events" (2021) https://www.pnas.org/doi/full/10.1073/pnas.2101509118

From "How Our Environment Affects What We Remember" https://neurosciencenews.com/environment-memory-20165/amp/

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.