This study aims at identifying the problems facing the students teachers in the department of Science Computer in the College of Education for Women in Baghdad University during their application in the Schools and their attitudes Towards teaching before and after the application the sample Consists of the Fourth year Students Who did teach in Baghdad (75 Students) The data have been dealt with statistically by using chi – Square, the relative percentage Weight, Person's Correlation Coefficient and the t – test.
After analyzing the results, it has been Shown that the Following are the most important problems :-
1. limitedness of the period of application.
2. Insufficiency of the hours specified for the Computer.
3. Insufficiency of the Computers in the School.
4. Inter ference of both the headmasters and the teacher of the Subject in the method of teaching Followed by the Student teacher.
5. Insufficiency of the Visits before the application.
As for the attitudes, it has been Found that the students' attitudes were better after the application than befor it.
In the Light of Such results, the researcher has reached into the Following recommendations:-
Giving priority to Solve the problems Which were Considered more important by the sample in the questionnaire.
Enlightening the Schools managements of the importance of the application.
The researcher has Suggested a number of Suggestions among which Conducting:-
A study to identify the teaching Competencies required for the graduates of the department of Computers in the College of Education for women in Baghdad University.
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The analysis of Least Squares: LS is often unsuccessful in the case of outliers in the studied phenomena. OLS will lose their properties and then lose the property of Beast Linear Unbiased Estimator (BLUE), because of the Outliers have a bad effect on the phenomenon. To address this problem, new statistical methods have been developed so that they are not easily affected by outliers. These methods are characterized by robustness or (resistance). The Least Trimmed Squares: LTS method was therefore a good alternative to achieving more feasible results and optimization. However, it is possible to assume weights that take into consideration the location of the outliers in the data and det
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Does the study sample leadership have the characteristics that enable it to contain both crises and environmental stresses?
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