{"id":2342,"date":"2025-07-09T02:14:36","date_gmt":"2025-07-09T07:14:36","guid":{"rendered":"https:\/\/www.thinkulum.net\/blog\/?p=2342"},"modified":"2025-07-09T02:14:36","modified_gmt":"2025-07-09T07:14:36","slug":"weeknote-for-5-18-2025","status":"publish","type":"post","link":"https:\/\/www.thinkulum.net\/blog\/2025\/07\/09\/weeknote-for-5-18-2025\/","title":{"rendered":"Weeknote for 5\/18\/2025"},"content":{"rendered":"

Learning<\/h2>\n

\ud83e\udd14<\/p>\n

I began exploring active learning<\/a> exercises for learning complex material.<\/strong> My exploration was inspired by finding that working with ONIX<\/a> feeds taught me a lot more about ONIX than reading the specification. The idea of this approach is to give myself tasks that require searching through the material and reasoning about it for a specific purpose. The purpose gives the information context and significance, which makes the information more memorable. I came up with a bunch of exercises and gave them to some chatbots to see what else they could suggest, and I\u2019d say they organized and supplemented my list pretty well. Here are my conversations with ChatGPT (Learning Specification Tasks<\/a>), Claude (Structured Strategies for Mastering Specifications<\/a>), and Gemini (Learning Specification: Task Ideas<\/a>). I also had ChatGPT list some other specifications to try this approach with (Well-known Specifications Examples<\/a>).<\/p>\n

Nature<\/h2>\n

\ud83d\ude42<\/p>\n

The goslings were out in full force.<\/strong> It made walks in the park a little treacherous. The goose parents get extra hissy.<\/p>\n

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A post shared by Andy Culbertson (@thinkulum)<\/a><\/p>\n<\/div>\n<\/blockquote>\n