Self-presentation in interracial settings: The competence downshift by White liberals - PubMed

Archival and experimental research reveals a subtle but persistent ironic consequence: White liberals self-present less competence to minorities than to other Whites-that is, they patronize minorities stereotyped as lower status and less competent.

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The Fiscal Ship: federal budget minigame

Web browser game letting players pick budget priorities.

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Mini Simulations | CFR Education

Very short sims for current events and history.

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Prospectively predicting 4-year college graduation from student applications

We leverage a unique national dataset of 41,359 college applications to prospectively predict 4-year bachelor's graduation in a generalizable manner. Our features include sociodemographics, institutional graduation rates, academic achievement, standardized test scores, engagement in extracurricular activities, work experiences, and ratings by teachers and high-school guidance counselors. A random forest classifier successfully predicted 4-year graduation for 71.4% of the students (base rate = 44%) using all 166 of the aforementioned features and a split-half validation method. A stochastic hill-climbing feature selection procedure effectively maintained the same classification accuracy, but with a minimal set of 37 features, consisting of an approximately equal representation of sociodemographics, cognitive, and noncognitive factors. We advocate against using these results for admissions decisions, instead contemplating how they might be used to provide parents and educators with actionable information to guide students towards college success.

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https://cooking.nytimes.com/recipes/763568708-one-pan-spicy-chicken-thighs-and-mushrooms

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Gemini 3 is almost as good as Google says it is | The Verge

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Ultimate White Pass

Supposedly get a lot of snow

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https://pub.towardsai.net/how-to-develop-a-powerful-ocr-pipeline-for-machine-learning-systems-bcc0b6df58b9

If we need OCR as part of our chatbot RAG

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The Future of the Essay in the Age of AI: A Practical Guide – CraigBellamy.net(.au)

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AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting | Scientific Reports

Here we report a randomized, controlled trial measuring college students’ learning and their perceptions when content is presented through an AI-powered tutor compared with an active learning class. The novel design of the custom AI tutor is informed by the same pedagogical best practices as employed in the in-class lessons. We find that students learn significantly more in less time when using the AI tutor, compared with the in-class active learning. They also feel more engaged and more motivated. These findings offer empirical evidence for the efficacy of a widely accessible AI-powered pedagogy in significantly enhancing learning outcomes, presenting a compelling case for its broad adoption in learning environments.

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