Özet:

the Integration of Syrian Children into the Turkish Education System (PIKTES). The study was conducted with mixed method. Quantitative data were collected through personal information form and Maslack Burnout Inventory (MBI), while qualitative data were collected through semi-structured interviews. Nonparametric tests were used to analyze quantitative data, and thematic analysis was used to analyze qualitative data. The sample of the study consists of 301 Turkish language instructors from different cities and branches, who were determined by simple random sampling method, one of the probability sampling methods. According to the findings of the research, as a result of quantitative data analysis, it was determined that Turkish Language Teachers were moderately exhausted in the emotional exhaustion sub-dimension, highly exhausted in the depersonalization sub-dimension and low in the personal accomplishment sub-dimension. It was found that the burnout levels of Turkish language instructors differed significantly in the sub-dimensions of the scale according to their views on age, branch and workload, but did not differ significantly according to the number of students. As a result of the qualitative analyses, Turkish language instructors stated that the fact that they were working under the labor law within the scope of PIKTES negatively affected them emotionally and that there were cases where they received negative reactions from their colleagues and supervisors. It was concluded that working with foreign national students negatively affected them physically and emotionally and that PIKTES had a negative impact on their motivation due to working conditions.

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