This research aims to know the effectiveness of teaching with a proposed strategy according to the common Knowledge construction modelin mathematical proficiency among students of the second middle class. The researchers adopted the method of the experimental approach, as the experimental design was used for two independent and equal groups with a post-test. The experiment was applied to a sample consisting of (83) students divided into two groups: an experimental comprising (42) students and a control group, the second comprising (41) students., from Badr Shaker Al-Sayyab Intermediate School for Boys, for the first semester of the academic year (2021-2022), the two groups were rewarded in four variables: (chronological age calculated in months, previous achievement in mathematics, intelligence test, and information test in mathematical proficiency).The two research tools represented in the mathematical competency test with its cognitive domain and the product tendency scale that represents its emotional domain were built,Their validity was verified, and the reliability coefficient was calculated for them, and it was acceptable. The coefficients of difficulty, discrimination, and the effectiveness of wrong alternatives for the objective paragraphs of the mathematical proficiency test were also found, and all of them were also acceptable. One of the researchers taught the students of the research sample represented by the experimental and control groups during the period of the experiment, which started on Wednesday (10/11/2021) and ended on Monday (17/1/2022), and after the experiment ended, the two research tools were applied to the students of the research sample.. To treat the information statistically, the researchers used: (t-test, Pearson correlation coefficient, alpha-Cronbach equation, difficulty coefficient equation, discrimination power coefficient equation, efficacy equation of wrong alternatives, Cooper equation, and Eta square equation). After analyzing the data, the results showed that there was a statistically significant difference in favor of the experimental group, as the value of the effect size was equal to (0.127), which is an average effect size that indicates the effectiveness of the proposed strategy.
The increase of the scenographic designer role on account of the character of the director in the Iraqi theater constituted a clear phenomenon that has been manifested in many shows, which necessitated a stance on the nature of this relation and delimiting the work space for each one of them inside the theater show. The research focuses on determining the work relation between the directorial vision and the scenographic proposal in the Iraq theater show. The research is divided into four chapters, the first one addressed the methodological framework, where the research problem was stated in the following question (has the scenographic designer been able through his scenographic proposal to remove the director from his position being the
... Show More
(58)
(55)
Examination of the blood and the alimentary canal of moorhens in two sites around
Baghdad area in the middle of Iraq showed that 38% of the examined birds were infected with
one or more of the following parasites, Haemoproteus baghdadensis, H. gallinulae
(Protozoa), Cyclocoelum mutbile (Trematoda), Diorchis inflata, Ligula intestinalis (Cestoda),
Amidostomum fulicae and Porrcaecum sp. (Nematoda) .The stomach analysis revealed that
the bird is omnivorous in feeding including wid range of invertebrate animals with some plant
origin food items.
The paper aims to build a model that supports organizational sustainability by analyzing the correlations and revealing the impact between the two main variables (entrepreneurial leadership) with its dimensions of proactive outlook, risk, and creativity (Van Zyl & Mathur-Helm, 2007), and (organizational sustainability) with its economic, environmental, and societal dimensions (Hansmann et al., 2012). As well as identifying the level of awareness and informing managers in the General Company for the Automotive and Equipment Industry, of the theoretical implications and performance, and its vital importance to society and the surrounding ecological environment, and drawing attention to that and improving performance, and indicatin
... Show More
(6)
(8)
(1)
(1)
Cervical Uterine Cancer is a disease that explains the vulnerability in which women are in terms of reproductive health with an impact on occupational health and public health, even when in Mexico the prevalence rate is lower than the other member countries of the OECD, its impact on Human Development and Local Development shows the importance that the disease have in communities more than in cities where prevention policies through check-ups and medical examinations seem to curb the trend, but show the lack of opportunities and capacities of health centers in rural areas. To establish the reliability, validity, and correlations between the variables reported in the literature with respect to their weighting in a public hospital. A
... Show More
(2)
Alternative distribution to estimate the Dose – Response model in bioassay excrement
This research concern to study five different distribution (Probit , Logistic, Arc sine , extreme value , One hit ), to estimate dose –response model by using m.l.e and probit method This is done by determining different weights in each distribution in addition find all particular statistics for vital model .
One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services th
... Show More
(13)
(7)
One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services through our ca
... Show More
(13)
(7)