The eighty five percent rule for optimal learning
https://www.nature.com/articles/s41467-019-12552-4 https://github.com/bobUA/EightyFivePercentRule Researchers and educators have long wrestled with the question of how best to teach their clients be they humans, non-human animals or machines. Here, we examine the role of a single variable, the difficulty of training, on the rate of learning. In many situations we find that there...
Does Measure Up! measure up? Evaluation of an iPad app to teach preschoolers measurement concepts
https://www.sciencedirect.com/science/article/abs/pii/S0360131519303021 Highlights Evaluation of an App designed to teach kids measurement concepts. 99 4 and 5 year old children randomly assigned into one of three conditions. Conditions were play the app, play the app with parent companion app, control app. Results found statistically effect of app on learning of measurement...
How (not) to scale deep learning in 6 easy steps
https://www.databricks.com/blog/2019/08/15/how-not-to-scale-deep-learning-in-6-easy-steps.html This blog will instead walk through basic steps to avoid common performance pitfalls in training, and then the right steps, considered in the right order, to scale up by applying more complex tooling and more hardware. Hopefully, you will find your modeling job can move along much faster without...
Struggling with your academic writing? Try these experiments to get the words flowing
https://www.science.org/content/article/struggling-your-academic-writing-try-these-experiments-get-words-flowing Yet writing does not lend itself to a one-size-fits-all approach. For example, Jay does his best writing—including this column—in the late afternoon before he races to pick up his kids from school. June, on the other hand, prefers the quiet of the morning alone at a coffee shop in...
The Reading House: A children's book for emergent literacy screening during well-child visits
https://pediatrics.aappublications.org/content/143/6/e20183843 METHODS: The Reading House (TRH) is a children’s book designed to screen emergent literacy skills. These are assessed by sharing the book with the child and using a 9-item, scripted scoring form. Get Ready to Read! (GRTR) is a validated measure shown to predict reading outcomes. TRH and GRTR...
Uncovering the structure of self-regulation through data-driven ontology discovery
https://www.nature.com/articles/s41467-019-10301-1 Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by siloed scientific traditions and a focus on explanation over prediction, two issues that are particularly damaging for the study of multifaceted constructs like self-regulation. Here, we derive...
A recipe for training neural networks
http://karpathy.github.io/2019/04/25/recipe/ Some few weeks ago I posted a tweet on “the most common neural net mistakes”, listing a few common gotchas related to training neural nets. The tweet got quite a bit more engagement than I anticipated (including a webinar :)). Clearly, a lot of people have personally encountered the...
Large-scale analysis of test–retest reliabilities of self-regulation measures
https://www.pnas.org/node/855045.full The ability to regulate behavior in service of long-term goals is a widely studied psychological construct known as self-regulation. This wide interest is in part due to the putative relations between self-regulation and a range of real-world behaviors. Self-regulation is generally viewed as a trait, and individual differences are...
Large teams develop and small teams disrupt science and technology
https://www.nature.com/articles/s41586-019-0941-9 One of the most universal trends in science and technology today is the growth of large teams in all areas, as solitary researchers and small teams diminish in prevalence1,2,3. Increases in team size have been attributed to the specialization of scientific activities3, improvements in communication technology4,5, or the complexity...
The i3+3 design for phase I clinical trials
https://arxiv.org/abs/1901.01303 The 3+3 design has been shown to be less likely to achieve the objectives of phase I dose-finding trials when compared with more advanced model-based designs. One major criticism of the 3+3 design is that it is based on simple rules, does not depend on statistical models for inference,...
About
a collection of excerpts from interesting research, blogs, events, etc...