Developing the performance of administrative leadership in the Offices of Education in Republic of Yemen in the light Electronic Management

Abstract

: The aim of the Research is to develop the performance of administrative leaders at the offices of education in the Republic of Yemen in light of the entrance to the administration، by disclosing the reality of administrative performance of administrative leaders at the offices of education (secretariat of the capital Sana'a -Dhamar) On ways to develop performance in the light of the Electronic management entrance and detection whether there are statistically significant differences at level (0.05)، among the averages of sample research estimates attributed to variables (job named، scientific qualification، years' experience، Computer courses) and to achieve research objectives the researcher  used descriptive survey and designed a questionnaire formed after confirming its ratification and stability of (48) item، distributed to four areas (electronic culture، use of computer skills، Communication and communication skills، administrative practices، Researcher has been a sample researcher who has been selected in an agreement from administrative leaders at the offices of education (sanaa- -Dhamar)، and data on research questions were collected And analyzed by the statistical packet for social studies SPSS finds a group of results: The degree of administrative performance in light of the electronic management entrance in all its areas has been significantly made at an average of 2.51 (2.51)) and that the degree of consent individuals The sample on the mechanisms for the management of administrative performance at the administrative leadership leaders of the Office of Education (Sanaa-Yasa-Dhamar Secretariat) in light of the entrance of electronic management was significantly at an anventure of my account (2.55، and the results showed statistically significant differences at the level of significance (0.05) In response to the sample research personnel at the level of the tool as a whole is attributed to variables (job title، scientific qualification، years' experience، training courses) This means that the  research sample has different visions of their years' experience.