The current research aims to :
•know the level of the chaotic behavior of the sample as a whole .
•Know the differences with statistical significance in disorderly behavior between the
disadvantaged and non-disadvantaged peers .
To achieve these objectives, the selected sample of Talbhalmrahlh medium and specifically
students of the second grade average, were chosen randomly stratified's (360) students
included sex (male, female) and (deprived of the Father and the non-deprived) for the
academic year (2013-2014) to the province Baghdad on both sides (Rusafa-Karkh (
As applied to them measurements of disorderly behavior, which is prepared by the researcher,
having achieved _khasaúsma of psychometric (valid and reliable .)
When analyzing the data were used statistical methods, both when extracting multiple
psychometric properties, crashes or achieve the objectives of the research, including (Pearson
correlation coefficient, and the equation Alvakronbach and samples t-test for one sample and
samples t-test for two independent samples .
The researcher found the following results :
•When members of the research sample behavior messy low .
•The existence of statistically significant differences in disorderly behavior among
adolescents deprived of their parents and their peers who live with their parents, and for thebenefit of disadvantaged parents, that is deprived of parents is more chaotic behavior of
children deprived of others .
In light of the findings of the researcher made a number of recommendations and suggestions .
Abstract This study explores the extent to which public relations (PR) departments within Traqj governmental institutions are integrating artificial intelligence (AI) applications into their communication activities. The research adresses the growing importanc of AI in enhancing administrative efficieney, communication transparency, and stakeholder engagement. Adopting a descriptive research design, the study relied on an electtonic questionnaire distributed to PR profesionals across various ministries and government bodies, collecting 100 valid responses. The indings reveal that while younger PR practitioners are actively embracing AI, older employees show limited engagement. Most participants acquired AI-related skills through self- learn
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