This research aims to:
1 – Make a proposed module for (aesthetics) for the second stage - Department of Art Education under education theories.
2 - Verification from the effect of the proposed module on student achievement and motivation towards learning aesthetics material.
To verification the second goal we wording these two hypotheses:
1- There are no individual differences with statistically significant at level (0.05) between the student's scores average. (Experimental group ) who studied according to the proposed module and the average student's scores (control group) who studied in the usual way for the achievement test for the Aesthetics material.
2- There are no individual differences with statistically significant at level (0.05) between the student's scores average. (Experimental group) who studied according to the proposed module and the average student's scores (control group) who studied in the usual way for the motivation measurement for the Aesthetics material.
This research is limited to the following determinants.
1 – The times temporal: first semester in the academic year 2011-2012
2 – The area temporal for second stage - Department of Art Education - college of Fine Arts in Baghdad
3-The objectivity temporal: The proposed module for Aesthetics according to under the education theories .
The second chapter includes two units, the first units (oriented cognitive science), and the second unit handled (relationship aesthetic experiences stereotypes units), and we can notes these two units in chapter two .
Third chapter show the search procedures of (module design, make the achievement test, and design experience of the unit).
The fourth chapter discussed the most important result after application module proposed (Experimental group.) according to plan teaching
And the researcher supported his opinion with the most important conclusions of the results, and the Researcher gives some recommendations in light of the results and the conclusions of research, at the end of the chapter researcher suggested some useful suggestion for Subsequent study.
The study aimed to identify the use of the electronic concept maps method in learning some of the skills of the floor exercises in the artistic gymnastics for third graders ,as well as to identify the best group between the two research groups (experimental And the officer to learn and retain some of the skills of the floor exercises in the artistic gymnastics of the research subject , and the experimental method was used and included the sample research on students of the collage of Physical Education and Sports Sciences/University of Baghdad, third grade, and has selected (10) Students for each group of The experimental and controlling groups randomly by lottery and after the completion of the period of implementation of the experiment wh
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The results of this research showed the effectiveness of teaching plans according to (Kolb's model) in developing skills of design and implementation (theater for gauntlets made of cardboard materials) for the students of the Kindergarten Department - the experimental group. Which had a positive effect to reach the desired results in the design and implementation of the gauntlet theater and dealing with cardboard materials
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Saber was carrying the founding crucible of that theory, which takes over from his teacher, Hebron, to be built on what it has reached. It is redundant to point to his location and the status of his book.
So came to my research tagged: (c
Learn new methods of teaching mathematics contribute to raising the level of pupils to acquire mathematical concepts primary stage
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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