The design of blended learning experiences for clean data to allow proper observation of student participation

This chapter shares the results and insights from a collaborative project to use learning analytics to capture and transform learning in the first year of undergraduate science programs. The multidisciplinary team is composed of academics and technical staff with a shared goal and numerous motivations. The shared goal was to use analytics to describe and optimize learning. This is an ongoing project first instigated in 2016, which has evolved from using descriptive analytics to create personalized feedback forms, to creating dashboards and is working toward using historical data to train models to monitor and predict engagement and disengagement (identify at-risk students). Data are collected through a blended learning model that has enabled students to take greater ownership of their learning and staff to enhance curriculum and learning strategies.