This document discusses open learning analytics and the collection of learner data traces to improve learning. It introduces Erik Duval, who works in technology enhanced learning and human-computer interaction. He discusses how learning analytics involves collecting learner data at runtime to gain insights into learning processes. The goal is to provide feedback and recommendations to learners and teachers to improve and accelerate learning outcomes. Examples mentioned include visualizing student activity and using dashboards to promote self-reflection. Issues discussed include data architecture, interoperability, and ensuring analytics are designed and used appropriately to benefit learning.