3 research outputs found
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing
Artificial Intelligence in higher education opens new possibilities for
improving the lecturing process, such as enriching didactic materials, helping
in assessing students' works or even providing directions to the teachers on
how to enhance the lectures. We follow this research path, and in this work, we
explore how an academic lecture can be assessed automatically by quantitative
features. First, we prepare a set of qualitative features based on teaching
practices and then annotate the dataset of academic lecture videos collected
for this purpose. We then show how these features could be detected
automatically using machine learning and computer vision techniques. Our
results show the potential usefulness of our work.Comment: 10 pages, 9 figure