The higher education dropout rate is increasing worldwide. For example, dropout rates among UK university students have increased for the third consecutive year. Three of the top eight reasons for these dropouts are:
- Lack of quality time with teachers and counselors
- Demotivating school environment
- Lack of student support
One of the key challenges in addressing these issues is knowing the students (such as knowing whether a student is following a topic or not) and delivering lectures/tutorials and other support accordingly. One potential approach is to know the emotions of the students, which is challenging in a large classroom, computer lab, or in e-learning environments. The use of technologies (including IoT with the support of DL models) can help to recognize emotion using facial expression and/or speech. The second use case...
