## 4 Discussion  
The aim of this study was to evaluate and interpret the levels of burnout and resilience showed by teachers of Compulsory Secondary Education in the Region of Murcia (Spain) in times of COVID-19, by designing an artificial neural network with the capacity to predict the presence or absence of burnout syndrome in this professional group, and by simulating a binary biological neural network where 0 is equivalent to a deactivated node and 1 to an activated node. The response rate obtained in this study reflected the interest of secondary school teachers in burnout in times of pandemic. This experience could be the reason for the appearance of a high percentage of teachers suffering from this syndrome in contrast to what was obtained in previous studies [67]. Our sample data allow us to establish a very varied group by forming an analysis of the constructs that encompass the entire teaching population. In the same line, the participation of women was higher than that of men, as well as that of teachers in a sentimental situation of being in a couple or married. This aspect is of vital importance since there are numerous studies that show that single, widowed, or divorced teachers tend to be more affected by burnout syndrome. This is due to the fact that people who are in a couple or married are more likely to receive support [68; 69]. Analyzing the artificial neural network of the present study, it was observed that the variable of marital status contributed 15.5% to the presence or absence of burnout syndrome. At this stage, it is necessary to respond to the hypotheses that were initially raised in this study. Thus, H1, \"if moderate levels of burnout were expected to be found\", is confirmed. It was observed that a medium-high percentage of the participant population suffered from this syndrome, presenting a high level in the emotional exhaustion and cynicism dimensions versus a low level for the professional efficacy dimension. In this sense, taking into account that requirements were met to confirm the presence of burnout syndrome, i.e., that the burnout and cynicism dimensions were high and professional efficacy was low, authors such as [70] showed that, on the burnout scale, the teaching staff obtained a moderate level for this syndrome. Likewise, studies by [13] observed that, of the  
Figure 4: Artificial neural network lift. participants in their sample, a medium percentage of the population suffered from burnout syndrome, in line with the hypothesis proposed here. With respect to the ANN designed, it was able to correctly locate 97.4% of the cases, differentiating between those who suffered from burnout syndrome and those who did not. The use of this type of network to predict psychoeducational variables and even stress has recently been successfully applied in the university setting [56]. Following the same line of argument, H2 posed in this study, regarding whether \"teacher resilience levels were expected to be medium\", has been confirmed. Specifically, in the present study, resilience levels were medium-high. The findings found here can be compared with the studies conducted in Chile by [48] that show that the faculty had resilient skills, in agreement with other authors such as [71] who had undertaken similar research with faculty in Mexico. In the same vein, other research carried out in Peru showed that most of the teachers who participated in the research had a medium level of resilience [49]. Likewise, in Spain it was observed that teachers also have sufficient resilience to cope with adverse situations [24]. For H3, according to which \"it was expected to find an inversely proportional relationship between the dimensions of burnout and resilience\", it has been verified. The studies carried out in this research show that there is a low negative correlation between the dimensions of emotional exhaustion and cynicism with resilience, indicating that teachers who are immersed in burnout syndrome are indeed resilient people to some extent.