首页|Explainable AI for unsupervised machine learning: A proposed scheme applied to a case study with science teachers
Explainable AI for unsupervised machine learning: A proposed scheme applied to a case study with science teachers
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Explainable Artificial Intelligence (XAI) seeks to render Artificial Intelligen ce (AI) models transparent and comprehensible, potentially increasing trust and confidence in AI recommendations. “This research explores the realm of XAI within unsupervised educational machine learning, a relatively under-explored topic within Learning Analytics (LA). It introduces an XAI framework designed to elucidate clustering-based personalized recommendations for educators.