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.
KE Sharquie, AA Noaimi, MA Al-Shukri, Journal of Cosmetics, Dermatological Sciences and Applications, 2015 - Cited by 3
Abstract
Characterized by the Ordinary Least Squares (OLS) on Maximum Likelihood for the greatest possible way that the exact moments are known , which means that it can be found, while the other method they are unknown, but approximations to their biases correct to 0(n-1) can be obtained by standard methods. In our research expressions for approximations to the biases of the ML estimators (the regression coefficients and scale parameter) for linear (type 1) Extreme Value Regression Model for Largest Values are presented by using the advanced approach depends on finding the first derivative, second and third.
The problem of Bi-level programming is to reduce or maximize the function of the target by having another target function within the constraints. This problem has received a great deal of attention in the programming community due to the proliferation of applications and the use of evolutionary algorithms in addressing this kind of problem. Two non-linear bi-level programming methods are used in this paper. The goal is to achieve the optimal solution through the simulation method using the Monte Carlo method using different small and large sample sizes. The research reached the Branch Bound algorithm was preferred in solving the problem of non-linear two-level programming this is because the results were better.
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