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synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict $50 api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.

docs for the Laplace Platform, a social learning and scholarly crowdsourcing (i.e., a research repository) platform designed for engaging solidarity economy actors, citizens, scientists, students, and teachers that combines elements of platform cooperativism, Web 3 technologies and designs, open science, citizen science, and alternative EdTech.

An R-package for metacognitive calibration analysis and visualization

Webpage for SIG Human Learning

synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict $50 api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.