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.
The Effect of the Addie and Shayer Model on the Achievement of Fifth Grade Students and their Attitudes towards History
- Ahmed Hashim Mohammed and Hadil Jassas Ali
University of Baghdad - College of Education for Women
Abstract
The current research aims to examine the effect of the Adi and Shayer model on the achievement of fifth-grade students and their attitudes toward history. To achieve the research objective, the researcher has adopted two null hypotheses. 1) there is no statistically significant difference at the level o
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