Following model educational offenders in collection and Alasbaka of fifth grade students preparatory in history A. M. Dr Prepared by: Dr. Bashaer Mawloud Tawfeeq, The Center of Educational and Psychological Studies Baghdad University - There is no difference statistically significant at the 0.05 level of significance between the average scores of the following students studying using model and offenders and who are studying in the usual manner (traditional) in the collection - There is no difference statistically significant at the 0.05 level of significance between the mean scores for the following students studying using model and offenders and who are studying in the usual manner (traditional) in retention Find limits: Current search is determined by students fifth grade preparatory (literary) in day secondary schools in the province of Baghdad Center Determine the terms of the survey model and offenders, collection, retention Chapter II Previous studies have addressed the model and offenders with the collection and retention Chapter III First: the experimental design: the researcher adopted experimentally determined The two experimental groups and a control group and achievement test after me Second: The students preparatory fifth (literary) in day secondary schools in Baghdad city center / for the academic year 2012-2013 Third: distributed randomly on the two sets of people search to the first representation of the experimental group (Division) Division represents the control group. The number of female students after Astied the female students Alraspat to the previous year Researcher rewarded variables (degrees of history, intelligence test, the previous information in history Researcher drafted (35) behaviorally goal depending on the general goals and content-delivery history topics examined in the experiment spread over the first three levels of the cognitive domain of Bloom's Taxonomy (knowledge, comprehension, application) Researcher prepared a test to measure the achievement of Formation (35) paragraph of multiple-choice, the researcher used a number of means, including statistical (ANOVA, difficult equation and excellence paragraph, the Pearson correlation coefficient, Spearman equation - Brown Chapter IV Presented in this chapter researcher's findings in accordance with the goal of research and hypotheses (rejected hypotheses and the results showed that there were statistically significant differences between the scores of the two students Conclusions In light of the findings of current research can be concluded as follows: Preference model Janneh on the usual way of teaching history at the fifth grade students preparatory and which was reflected by raising level mode and retention of information Recommendations: In light of the findings and conclusions reached by the researcher can go out the following recommendations: - Emphasis on the educational model Janneh in the teaching of history in middle school because of its role in achieving the objectives of teaching history to raise the level of the collection and retention of information Numbers of teachers, which makes them able to teach according to modern models in the teaching of history Proposals : An update of the current research suggests the researcher conducting the following studies A similar study of the current study in another subsidiary variables such as critical thinking or direction towards the article,Following model educational offenders in collection and Alasbaka of fifth grade students preparatory in history
This research includes the study of dual data models with mixed random parameters, which contain two types of parameters, the first is random and the other is fixed. For the random parameter, it is obtained as a result of differences in the marginal tendencies of the cross sections, and for the fixed parameter, it is obtained as a result of differences in fixed limits, and random errors for each section. Accidental bearing the characteristic of heterogeneity of variance in addition to the presence of serial correlation of the first degree, and the main objective in this research is the use of efficient methods commensurate with the paired data in the case of small samples, and to achieve this goal, the feasible general least squa
... Show MoreThis paper develops a fuzzy multi-objective model for solving aggregate production planning problems that contain multiple products and multiple periods in uncertain environments. We seek to minimize total production cost and total labor cost. We adopted a new method that utilizes a Zimmermans approach to determine the tolerance and aspiration levels. The actual performance of an industrial company was used to prove the feasibility of the proposed model. The proposed model shows that the method is useful, generalizable, and can be applied to APP problems with other parameters.
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The research involves using phenol – formaldehyde (Novolak) resin as matrix for making composite material, while glass fiber type (E) was used as reinforcing materials. The specimen of the composite material is reinforced with (60%) ratio of glass fiber.
The impregnation method is used in test sample preparation, using molding by pressure presses.
All samples were exposure to (Co60) gamma rays of an average energy (2.5)Mev. The total doses were (208, 312 and 728) KGy.
The mechanical tests (bending, bending strength, shear force, impact strength and surface indentation) were performed on un irradiated and irrad
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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Atenolol was used with povidone iodine to prove the efficiency, reliability and repeatability of the long distance chasing photometer (NAG-ADF-300-2) using continuous flow injection analysis. The method is based on reaction between atenolol and povidone iodine in an aqueous medium. Optimum parameters was studied to increase the sensitivity development of method. Calibration graph was linear in the range of 2-19 mmol/L for cell A and 5-19 mmol/L for cell B. Limit of detection 146.4848 ng/55 µL and 2.6600 µg/200 µL respectively to cell A and cell B. Correlation coefficient (r) 0.9957 for cell A and 0.9974 for cell. Relative standard deviation (RSD %) was lower than 1%, (n=8) for the determination of
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