This document discusses using data and learning analytics to support active learning experiences. It explains that institutions already collect significant data through LMS interactions, student information systems, and other sources. Learning analytics is the measurement, collection, analysis and reporting of this data to understand and optimize learning. The document provides an example of how data from an electronics course was analyzed to identify students at risk and guide interventions to support active learning. It argues that data can help improve active learning by providing insights but accessing and applying data at scale remains a challenge.