Scaling up psychology via Scientific Regret Minimization
https://www.pnas.org/content/117/16/8825 Do large datasets provide value to psychologists? Without a systematic methodology for working with such datasets, there is a valid concern that analyses will produce noise artifacts rather than true effects. In this paper, we offer a way to enable researchers to systematically build models and identify novel phenomena...
Prediction, estimation, and attribution
https://www.tandfonline.com/doi/abs/10.1080/01621459.2020.1762613 https://efron.ckirby.su.domains/papers/2019PredictEstimatAttribut.pdf The scientific needs and computational limitations of the twentieth century fashioned classical statistical methodology. Both the needs and limitations have changed in the twenty-first, and so has the methodology. Large-scale prediction algorithms—neural nets, deep learning, boosting, support vector machines, random forests—have achieved star status in the popular press....
How to use Jupyter Notebooks in 2020
https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-notebooks-in-2020-part-2/ Principles Keep a standard project structure and gitflow. I highly-recommend adopting cookiecutter-datascience. By setting a project structure at the very start, you already open the idea for collaboration. Lastly, I encourage that researchers learn gitflow and use some of the tools here to facilitate better collaboration. Refactor oft-repeated functions...
Relating Natural Language Aptitude to Individual Differences in Learning Programming Languages
https://www.nature.com/articles/s41598-020-60661-8 This experiment employed an individual differences approach to test the hypothesis that learning modern programming languages resembles second “natural” language learning in adulthood. Behavioral and neural (resting-state EEG) indices of language aptitude were used along with numeracy and fluid cognitive measures (e.g., fluid reasoning, working memory, inhibitory control) as...
Variational item response theory: Fast, accurate, expressive
https://arxiv.org/abs/2002.00276 Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet...
How to hire smarter than the market: a toy model
https://erikbern.com/2020/01/13/how-to-hire-smarter-than-the-market-a-toy-model.html We’re going to hire some people, so we look at a bunch of resumes and try to decide who’s going to make it to the next stage. The best candidates are the ones that are great at both A and B, and we’ll obviously bring them in. But some...
Apps as learning tools: A systematic review
https://publications.aap.org/pediatrics/article/145/1/e20191579/36974/Apps-As-Learning-Tools-A-Systematic-Review Young children have increasing access to interactive applications (apps) at home and at school. Existing research is clear on the potential dangers of overuse of screens, but there is less clarity around the extent to which interactive apps may be helpful in supporting early learning. In this systematic review,...
Picking your professional path
https://e2eml.school/professional_path.html This at it’s core, is an optimization problem. How do you allocate the scarce resource of your professional effort? You can’t solve an optimization problem until your optimization criterion is very precisely stated. In other words, what do you want more than anything else? On the surface, it may...
Global development of AI-based education
https://www2.deloitte.com/cn/en/pages/technology-media-and-telecommunications/articles/development-of-ai-based-education-in-china.html https://www2.deloitte.com/cn/en/pages/about-deloitte/articles/global-development-of-ai-based-education.html According to the report, AI application in education can be traced back to late 1980s and is currently embracing multidisciplinary development, through integrating with deep learning-based technologies such as natural language processing, speech recognition and image recognition and leveraging big data. Intelligent adaptive learning is the most widely...
The predictive utility of word familiarity for online engagements and funding
https://www.pnas.org/content/118/18/e2026045118 https://osf.io/493tj/ How well do simple or complex language patterns predict meaningful behaviors in the field? We used nearly 1.1 million datapoints across 12 samples to demonstrate that language complexity is a positive or negative heuristic depending on instrumental goal activation (e.g., if effort in a task is associated with...
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a collection of excerpts from interesting research, blogs, events, etc...