Data Model for Evaluation of Audience Feedback in Lectures

2020 North atlantic university union: International Journal of Circuits, Systems and Signal Processing  
- In this article, we discuss the importance of interactivity during lectures and means to evaluate the feedback of the audience. We conduct a literature review on the subject and propose accordingly, a data model for the evaluation of audience feedback in lectures at microscopic and macroscopic levels. We propose a detailed scenario and examine how we are able to simulate such a scenario using the designated data model.
doi:10.46300/9106.2020.14.119 fatcat:22h2emfbofcfrjdqe5mbakqf4u