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The Musical Intelligence in kindergarten children
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The childhood of the important stages in which the adopted child's personality, mental and physical, motor and configure , as well as gain experience , it is the basis on which the future life of the child , studies have unanimously competent in the fields of childhood verily the first five years of a child of the most important stages of life and the most fertile life . Because the stage Childhood its an active role as the foundation upon which to build human personality , it was necessary to create all leads to raise the level of intelligence of children , because intelligence is the first element in the organization of thinking makes the child able to do the activities characterized by mental qualities .
Indicated most of the scientists, there is a mental and intellectual series deals with a number of intelligences , including musical intelligence , that music intelligence is thefoundation upon which to build the artistry capacity , because it is inspired by a sense of the individual environmental beauty, taste of nature and you pay to become more understanding to the content of the aesthetic elements of the environment , also, the family that develop musical intelligence of her child , help to gain a lot of different values and principles , including: respect for his homeland, and to respect the rights of others and the rights of the community in which he lives , working on widening the intellectual, linguistic, emotional and imaginary field when, for example, learned how to coordinate his voice to learn a particular skill or experience, and thus grow human being sound and integrated.
Given the importance of music in a child intelligence kindergarten , and the lack of studies on this topic , the researcher sought to measure the musical intelligence of kindergarten children By building a test of intelligence musician at the age of (5-6) years based on the theory (Wing) musical intelligence, researcher chose Kindergarten (AL- Slam) of the Directorate of Baghdad / Karkh second in the AL-Alam area , and that the number of its children (187) boys and girls .
In order to test the application for adoption , researcher Extracted transactions discrimination and difficulty of the paragraphs of the test , validity to the test as a whole transactions ,and its fields, the test includes the three areas, it is as follows: (Music cognition), which consists of (30) items , (musical taste), which consists of (3) items , and finally (Music Performance), which consists of (8) items , bringing the number of items of the test as a whole (41) items.
After the test application on the research sample consisting of (187 ) children, the data were analyzed Which Obtained by researcher Children of answers on the test , and introduced the statistical system (SPSS) , results of the study revealed that the kindergarten children were suffering from the weakness of their intelligence in music, compared with the average premise, researcher This result was interpreted according to the theory (Wing) that the by relying in the search , that the cause of the weakness of children in kindergarten musical intelligence goes back to different musical productions on the three areas identified by (Wing) to his test.
The researcher also provided after receiving a Search some of the recommendations and suggestions which it considered useful to researchers and the concerned authorities in this issue result.

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Publication Date
Wed Apr 03 2024
Journal Name
International Journal Of Economics And Finance Studies
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ACCOUNTING PERFORMANCE: SUSTAINABLE DEVELOPMENT AS A MEDIATING VARIABLE
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The UN plans to achieve several development objectives by 2030. These objectives address global warming, a major issue. This method aims to improve sustainable accounting performance (AP). In this circumstance, AI is being applied in various fields, notably in economic, social, and environmental (ESE) domains. This research investigates how sustainable development (SD) influences AI methodologies and AP improvement. The research examined a sample of Iraqi banks listed on the Iraq Stock Exchange from 2014 to 2022. AI was measured by ATM and POS prevalence. A three-dimensional approach examined economic, social, and environmental (ESE) sustainability. Meanwhile, the performance of sustainable accounting was measured through the return on asse

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Scopus
Publication Date
Sat Jul 17 2021
Journal Name
Revista Geintec-gestao Inovacao E Tecnologias
Moderating Role of Virtual Teams on the Relation between Cultural Intelligence and Strategic Excellence
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Based on the theoretical review of researches and studies concerned with virtual teams in organizations, it was found that the role of virtual teams varies from case to another, and it may be positive or opposite. The purpose of the current research is to examine the role of virtual teams in the impact of cultural intelligence on the strategic excellence of Zain worldwide Group. An electronic questionnaire was designed through the (Google) and (Microsoft) forms, and distributed then on a sample of (146) participants with a high organizational level of the HRM departments within the group. The results showed that there was a positive moderator role of virtual teams in the relationship of cultural intelligence and strategic excellence

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Publication Date
Sun Jul 01 2018
Journal Name
Journal Of Educational And Psychological Researches
Mathematical-procedural Knowledge ant its relation to logical-mathematical intelligence among students at the third stage in mathematics department
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The study seeks the relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence among students at the third stage in mathematics department. To this end, three questions were arisen: what is the level of mathematical-procedural Knowledge among the third stage students in mathematics department regarding their gender? Do male or female students have more logical-mathematical intelligence and are there significant differences base on their gender? What kind of correlation is between the level of mathematical-procedural Knowledge and the logical-mathematical intelligence of male and female students in the third stage in the mathematics department? A sample of (75) male and female students at the thir

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Publication Date
Sun Jul 01 2018
Journal Name
Journal Of Educational And Psychological Researches
Mathematical-procedural Knowledge ant its relation to logical-mathematical intelligence among students at the third stage in mathematics department
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Publication Date
Sun Jan 01 2006
Journal Name
Journal Of Educational And Psychological Researches
اثر لعبة كرة القلب في خفض غضب أطفال الروضة
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مشكلة البحث واهميته :

            يعد الغضب من المظاهر الانفعالية الشائعة في مرحلة الطفولة المبكرة وذلك بسبب كثرة المواقف المثيرة لغضب الطفل في هذه المرحلة ، كما ان الطفل في هذه المرحلة سرعان ما يكتفي في كثير من الاحيان بان غضبه وبكائه طريقة سهلة للوصول الى ما يريد . ويعد المختصون في هذا المجال ، بان نوبات غضب الاطفال ، هي شيء عام طبيعي عند جميع الاطفال ، لكن عندما تكون نوبات عنيفة

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Publication Date
Wed Aug 17 2022
Journal Name
Applied Sciences
Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange
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The manual classification of oranges according to their ripeness or flavor takes a long time; furthermore, the classification of ripeness or sweetness by the intensity of the fruit’s color is not uniform between fruit varieties. Sweetness and color are important factors in evaluating the fruits, the fruit’s color may affect the perception of its sweetness. This article aims to study the possibility of predicting the sweetness of orange fruits based on artificial intelligence technology by studying the relationship between the RGB values of orange fruits and the sweetness of those fruits by using the Orange data mining tool. The experiment has applied machine learning algorithms to an orange fruit image dataset and performed a co

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Scopus (25)
Crossref (22)
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Publication Date
Mon Sep 30 2024
Journal Name
Iraqi Journal Of Science
Attention-Deficit Hyperactivity Disorder Prediction by Artificial Intelligence Techniques
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Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and inattention that can significantly affect an individual's daily life. The diagnostic process for ADHD is complex, requiring a combination of clinical assessments and subjective evaluations. However, recent advances in artificial intelligence (AI) techniques have shown promise in predicting ADHD and providing an early diagnosis. In this study, we will explore the application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive Boosting (AdaBoost), in predicting ADHD using the Python programming language. The classification accuracies obtained w

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Scopus (6)
Crossref (2)
Scopus Crossref
Publication Date
Sun Oct 15 2023
Journal Name
Journal Of Yarmouk
Artificial Intelligence Techniques for Colon Cancer Detection: A Review
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Publication Date
Thu Jun 23 2022
Journal Name
American Scientific Research Journal For Engineering, Technology, And Sciences
A Review of TCP Congestion Control Using Artificial Intelligence in 4G and 5G Networks
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In recent years, the field of research around the congestion problem of 4G and 5G networks has grown, especially those based on artificial intelligence (AI). Although 4G with LTE is seen as a mature technology, there is a continuous improvement in the infrastructure that led to the emergence of 5G networks. As a result of the large services provided in industries, Internet of Things (IoT) applications and smart cities, which have a large amount of exchanged data, a large number of connected devices per area, and high data rates, have brought their own problems and challenges, especially the problem of congestion. In this context, artificial intelligence (AI) models can be considered as one of the main techniques that can be used to solve ne

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Publication Date
Tue Jan 14 2025
Journal Name
South Eastern European Journal Of Public Health
Deep learning-based threat Intelligence system for IoT Network in Compliance With IEEE Standard
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The continuous advancement in the use of the IoT has greatly transformed industries, though at the same time it has made the IoT network vulnerable to highly advanced cybercrimes. There are several limitations with traditional security measures for IoT; the protection of distributed and adaptive IoT systems requires new approaches. This research presents novel threat intelligence for IoT networks based on deep learning, which maintains compliance with IEEE standards. Interweaving artificial intelligence with standardization frameworks is the goal of the study and, thus, improves the identification, protection, and reduction of cyber threats impacting IoT environments. The study is systematic and begins by examining IoT-specific thre

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