Learner Engagement Analytics in a Hybrid Learning Environment

Computer Science (CS) programmes in higher education institutions worldwide have seen unprecedented growth in learners, which has presented educators with several challenges. These include teaching large classes while simultaneously measuring learner engagement. CS programmes tend to have large first-year programming classes, as this is a core subject for all learners, which can lead to an environment where learners start to disengage due to feeling anonymous and lacking support. As we enter the post-pandemic era, institutions have started to adopt a hybrid approach to teaching and learning, which paves the way for educators to analyse data from learning management systems and on-campus learning activities (lectures, seminars, labs) to measure learner engagement and identify learners who are struggling and require further support. The work in this paper describes the adaptation of an online pedagogic framework during the hybrid delivery of a first-year web programming module, which includes a hybrid practical lab coordination system to conduct learner engagement analytics to support learners.