The literature on learning strategies is expected to mention learning styles that learners prefer when carrying out learning activities. Even questionnaires are used to determine which learning style a person prefers. There are also detractors of this idea who claim that a person can use different learning strategies depending on the type of educational activity they carry out or even that they can use other methods at the same time. In this work, we want to explore the possibility of recording some evidence that could support the idea of preferred learning styles by measuring biometric signals emitted by the brain of a person who is carrying out a learning activity using a BCI, especially using the signals that can be interpreted in the emotional dimensions of Arousal and Valence. This work hypothesizes that if a person has a particular preferred learning style, the signals emitted by their brain during the performance of a similar activity will be, on average, different from those emitted when carrying out activities related to other styles. A learning style detection test (CHAEA) was applied to a group of people to determine their preferred style according to this instrument. Then, they performed different learning tasks; each one focused on using a different learning style, so they were subject to all styles. During this activity, the signals emitted by the brain were measured using a BCI device. A Multi-Layer Perceptron (MLP) classifier translated the signals received into Arousal and Valence levels. The conclusions were that there is evidence that higher Valence values are recorded when subjected to an activity compatible with the preferred learning style. At the same time, there is no trend for Arousal.