This paper addresses the inherent limitations of current data collection practices related to Learning Analytics and Educational Data Mining, which are often limited to digital sources that may not be appropriate for current face-to-face teaching scenarios. A significant portion of learning activities still takes place outside of digital systems and is often not reflected in data and analytics. However, collecting data in the classroom is challenging and additional effort is required to make data usable and machine-readable. Therefore, this paper shows how existing technology can be used to collect data to gain deeper insight into student learning. Furthermore, ideas on how a comprehensive data collection in traditional teaching settings can be established by actively involving students are discussed. A central idea is to crowd source the data collection with user-friendly, non-intrusive widely available technology to keep the effort low, while respecting privacy and ethical aspects.