During this thesis, a prototype plugin for the e-learning platform Moodle was developed, which allows students to have their emotions assessed via webcam video during study. Applicability and limits of this approach are then discussed. A feedback cycle with users was conducted to help iterating on the plugin’s quality. Personally interacting with students in class during in-person teaching allows teachers to react to them. Teachers may explain certain things more in-depth, change the teaching approach, as well as reach out to a specific student if they require special help. In e-Learning, such interactions are greatly reduced. One way to receive feedback on how students are doing can be to use Facial Emotion Recognition through webcam pictures, which also works for non-live teaching sessions. This information can be used by teachers on the online platform as well as automatically by an Adaptive Learning System.