## 4 Discussion
### Applicability, Limitations, and Future Lines of Research  
With respect to the applicability of the study, the analysis carried out throughout this research has made it possible to determine the levels of burnout among secondary school teachers in the Region of Murcia. These data are of interest for subsequent comparative studies between different educational stages and between autonomous communities. It also serves to make visible a reality on which it is necessary to intervene, through the design of intervention programs adjusted to the facts, along the lines previously mentioned [15]. The introduction of artificial neural networks in the field of education represents a field that has hardly been exploited and that has great potential for detecting the syndrome from its initial stages. Knowing which variables contribute most to the presence or absence of the syndrome will allow the design of actions focused on preventing the appearance of such factors. In fact, our ANN was able to predict and classify 97.4% of the experimental cases. Therefore, the introduction of this kind of algorithm within educational psychology studies should be taken into account. Without a shadow of doubt, artificial intelligence has relevant potential [60].  
Regarding the limitations of this study, on the one hand, focusing the research on secondary schools makes it difficult to generalize the results to other educational stages. Likewise, the fact of applying the research questionnaires for data collection at a specific time during the pandemic has meant that it is not possible to see the changes that may occur with respect to burnout syndrome and resilience as one moves towards a normalized situation. On the other hand, in the data analysis, it should be noted that certain aspects of importance are left out, such as, for example, the influence of age on burnout syndrome, teaching experience, and the correlation between resilience and the appearance of the syndrome, among others. Furthermore, difficulties have been encountered in contrasting COVID-19 variables with burnout syndrome and resilience due to the lack of studies and research in this area. In spite of these limitations, this research has been carried out successfully and has had a high percentage of participation. Likewise, it allows us to make visible a real problem in the teaching staff, such as burnout syndrome. It is necessary to pay more attention to the psychological well-being of teachers because it is a group with worrying levels of emotional exhaustion, cynicism, and low job satisfaction.  
As for future lines of research, we highlight the need to continue investigating burnout syndrome and resilience in Compulsory Secondary Education teachers during and after the current pandemic, as well as to check how they may be affected by different situations and how these two constructs influence their teaching work and, therefore, the teaching-learning processes of students. Likewise, it would be possible to analyze burnout syndrome and resilience by department in the secondary school stage and observe which of them may be more affected by burnout, as well as which departments have a resilient teaching staff. Another possibility to consider would be to carry out this research at a national level to determine the levels of burnout and resilience of Spanish teachers, opening up the possibility of comparing the results and determining what factors influence each community and even each educational stage (infant, primary, and secondary). In addition, as has been seen throughout this work, it is recommended that the methodology of artificial neural networks be introduced in subsequent studies. This entails using other types of ANN configurations, such as modifying the number of nodes in the output layer or using another algorithm. This entails using other types of ANN configurations, such as modifying the number of nodes in the output layer or using another algorithm.