Arab Educational Information Network

The current study aimed to measure the knowledge level in post-basic education Arabic language teachers about the artificial intelligence techniques and their attitudes towards them. To verify this, the study adopted the descriptive analytical method. The researcher prepared two tools, which consisted of testing knowledge of artificial intelligence techniques, and a trend scale towards artificial intelligence techniques. Where the value of the reliability of the test according to Cronbach's alpha coefficient was 0.81 and the reliability value of the trend scale according to Cronbach's alpha coefficient was 0.91. The results of the study showed that the level of knowledge of Arabic language teachers with artificial intelligence techniques was low, while the attitudes of teachers towards artificial intelligence techniques were high. Furthermore, there are statistically significant differences in the level of teachers' knowledge of techniques according to the gender variable in favor of females. While the presence of statistically significant differences in teachers' attitudes towards techniques according to the gender variable in favor of males, and the absence of statistically significant differences in the level of knowledge of and orientation to techniques according to the variable years of experience. Accordingly, the study recommended enhancing knowledge of artificial intelligence techniques among Arabic language teachers through workshops and training courses. The study also suggested conducting studies to reveal the reality of knowledge of artificial intelligence techniques among teachers of the first cycle, and its relationship to some variables. (Author’s abstract)