With education being a core driver in the modern individual's self-realization, the quality of this education must be systematically managed. This paper explores the complexities of measuring and optimizing the quality of lectures. In this paper a concept for a Learning Analytic System (LAS) is presented, which has been developed through multiple iterations, consisting of two Internet of Things (IoT) prototypes and one high-level concept. The prototypes were used to explore the feasibility of collecting classroom data as well as implementing a teacher feedback loop. The conceptual LAS was used to explore the teachers' opinion as well as a potential value proposition for such a system. The results contain a description and a visual mockup for this proposed LAS, called EDUMONDO, that could systematically improve the quality of lecturing. In conclusion, this paper presents several opportunities, challenges, and recommendations for implementing teacher and classroom assisting technologies. This paper should serve as a platform for public discussion on how education should and should not change, in the face of technologies pushing towards a paradigm shift in education.