Name
Title | ||
|---|---|---|
EMO-Learning: Towards an intelligent tutoring system to assess online students’ emotions |
Abstract | ||
|---|---|---|
Due to the COVID-19 pandemic, most universities have adapted their learning infrastructure to an increasing demand for online training modalities. However, this type of learning, usually through Learning Management Systems (LMSs), suffer from a lack of direct feedback between students and the educational staff. For that reason, the present work introduces the EMO-learning project, whose key goal is to capture the emotions of students. This is done by means of a deep learning approach, able to timely analyse the face expressions of the students during online lectures. The module has been tested with different students during the academic year 2020-21, showing quite promising results. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/IE54923.2022.9826770 | 2022 18th International Conference on Intelligent Environments (IE) |
Keywords | DocType | ISSN |
smart education,emotion recognition,affective computing,neural networks,COVID-19 | Conference | 2469-8792 |
ISBN | Citations | PageRank |
978-1-6654-6935-7 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Belén López | 1 | 0 | 0.34 |
| Francisco Arcas-Túnez | 2 | 0 | 0.34 |
| Magdalena Cantabella | 3 | 0 | 0.34 |
| Fernando Terroso-Sáenz | 4 | 0 | 0.34 |
| Manuel Curado | 5 | 0 | 0.34 |
| Andrés Muñoz | 6 | 0 | 0.34 |