Teachers may lack timely and immediate access to student feedback on an longitudinal and classwide basis, where traditional methods are used to gather information. This creates issues as student feedback can be used effectively to guide lesson planning and delivery.
Our R&D team collaborates with external research institutions to derive appropriate technological solutions.
Cinglevue collaborated with a leading Australian university to explore how deep learning could be utilised to analyse student feedback at scale. We developed a solution that harnesses student responses to provide teachers with immediate access to summarised feedback and questions that arise during the course of a lesson.