هدف البحث التعرف على الملل الأكاديمي لدى طلبة المرحلة المتوسطة، فضلا عن التعرف على الفروق في الملل الاكاديمي على وفق متغير الجنس ومتغير الصف الدراسي، استخدمت الباحثة المنهج الوصفي، تكونت عينة البحث من ( 200) طالباً وطالبة تم اختيارهم بطريقة عشوائية وبعد تطبيق مقياس الملل الاكاديمي (من اعداد الباحثة) على عينة البحث وباستخدام الوسائل الإحصائية المناسبة توصلت نتائج البحث الى ان: طلبة المرحلة المتوسطة تعاني من ال

The aims of the research have been determined as:

1- Creative personality according to the students of the Fine Arts Institute.

1. 2- Indication of variances in the creative personality , the manner depending upon the variables of person (males, females).
2. The research sample consisted of (400) students of Fine Arts Institute for (Boys and Girls)/ Baghdad
3. The Scientific Research concluded the following:
4. 1-The students of the Fine Arts Institute have a high from the creative personality .
5. 2- There is a different in the creative personality according to the  &

The current research aimed to identify:

1. Social perception among university students.
2. Differences in social Perception according to the variables:

Gander` (male, female) b- theme (scientific, humanitarian(

3. Moral judgments among university students.
4. Differences in moral judgments according to two variables:

A-type (male, female) b- theme (scientific, humanitarian)

5. Emotional tranquility among university students.
6. Differences in emotional tranquility according to two variables:

      A-type (male, female) b- theme (scientific, humanitarian)

7. Contributio

This research has targeted four aims related to the social morals of university students in terms of psychological aspect and Islamic field; they had been achieved as follow:

1. It had been sought in the social morals concept in Islam in relation to the Holy Quran and Hadith sources.
2. It had been built standard for the social morals of the university students through analyzing Hadith and adopting focus ratio to identify the number of ten social moral items; and they have been subjected to the statistical analysis then finding the psychometric indicators to identify their truth and validity.
3. To identify the ratios of social morals at a sample of Isla

التعلم هو المظهر الرئيسي في حياة البشرية المتحضرة ،الذي يعبر عن نشاطهم العقلي الذي وهبه الله سبحانه وتعالى ، وما على الإنسان ألا إن يستغل هذه إلهية الإلهية بأقصى ما يمكن للاستفادة منها, ومن هذا المنطلق لابد أن يعتمد المتعلم على طرق وأساليب منطقية في اكتساب المعرفة والتعامل مع المعلومات ومعالجتها ، وتعرف هذه (بأساليب التعلم styles learning) وهي الفروق الفردية في طرق التلقي والإدراك والتذكر وا

The objective of the research is to identify the level of supervisory performance of the educational supervisor from the point of view of headmasters at secondary schools. The problem was the need to evaluate performance. A sample of (97) school headmasters was chosen to collect the needed data, they proportionated (38%) of the total community. the researcher designed a questionnaire consisted of (43) paragraphs with five areas. The results showed that there is a good level of performance among supervisors; there are no significant differences in the variable of the certificate, while there were significant differences in terms of gender for the benefit of males. The research concluded with a number of recommendations and suggestions.

This study is concerned with the comparison of the results of some tests of passing and dribbling of the basketball of tow different years between teams of chosen young players in Baghdad. Calculative methods were used namely (Arithmetic mean, Value digression and T.test for incompatible specimens). After careful calculative treatments, it has been that there were abstract or no abstract differences in the find results of chestpass, highdribble and cross-over dribble. The clubs were: (Al-Khark, Air defence, Police and Al-Adamiyah) each one separate from the other for the year (2000-2001). After all that many findings were reached such as the lack of objective valuation (periodical tests) between one sport season and the other. In the light

The educational sector is one of the important sectors in the world, and it is considered one of the means of community development. In addition, it is one of the means of making the country’s renaissance and devel-opment because it represents the factory of thinking minds that make change. There is no doubt that this sector is the same as any other sector. The deficit in the studied scientific planning has been prolonged, which led to its deterioration, and the problems of education remain diverse and inherited from previous time periods, where the hierarchical cluster analysis was used on postgraduate students in universities in Iraq, except for Kurdistan region, and the number of universities that were included in the study was

    This research on women under the title (Empowerment of women…  From value education to the creation of human morality), includes a disclosure of the reasons that prevented women from performing their human role in the development of human societies and treatments that can provide to solve this big problem in the life These communities, especially the Eastern societies and the religious ones, believe that the woman has not received the care and care to raise her human values ​​in order to contribute to the required social contribution, for historical, economic, moral, religious, social and cultural reasons. And by shedding light on specific definitions of the most important rules on which the research relied

Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steerin