Artificial Intelligence (AI) is reshaping various fields, including education, but its complexity often leads to questions about trust, fairness, and transparency. In response, two crucial concepts have emerged: Explainable AI (xAI) and Interpretable AI. These terms may sound similar, but they offer distinct affordances and are critical in educational contexts where understanding predictions can drive […]