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Deep understanding skills and their relationship to mathematical modelling among fifth grader
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Abstract: The aim of the current research is to identify (the relationship between deep understanding skills and mathematical modeling among fifth grade students) the research sample consisted of (411) male and female students of the fifth grade of biology distributed over the General Directorates of Education in Baghdad / Al-Rusafa / 2 / and Al-Karkh / 1 /, and two research tools were built: 1- A test of deep understanding skills, consisting of (20) test items and a scale for two skills. 2- The second test consists of (24) test items distributed among (18) essay items and (6) objective items. The psychometric properties of validity, stability, discriminatory strength, and effectiveness of alternatives were verified for the two tests for students. The descriptive, analytical and inferential research method was used, and three statistical hypotheses were formulated for the research, which are as follows: 1- There is a statistically significant difference at the significance level (0.05) between the hypothetical mean and the arithmetic mean of the students' scores in general in the tests of deep understanding skills. 2- There is no statistically significant difference at the level of significance (0.05) between the hypothetical mean and the arithmetic mean of the students’ scores in general in the tests of mathematical modeling skills. 3- There is no statistically significant relationship at the significance level (0.05) between the skills of deep understanding and the skills of mathematical modeling among the students of the fifth scientific grade in general. These hypotheses were tested by statistical methods (parametric and non-parametric methods) test, estimates of the effect coefficients according to the simple non-linear regression model of the cubic polynomial, Pearson's simple correlation coefficient, half-segmentation method, non-parametric Mann-Whitney test, (Ki-test). Square), and this was achieved by using the ready-made statistical package (SPSS), and the search results were as follows: 1- There is a similarity in the low level of students' responses in general in the skills of deep understanding. 2- A low level of students' responses in general to the test of mathematical modeling skills was achieved. 3- There is a correlation according to the polynomial model used between the effect of mathematical modeling skills on the dimension function of deep understanding skills for the two groups of male and female students. In light of the results of the research, the researcher recommended several recommendations, including: the inclusion of the mathematics curriculum with exercises, activities and exercises that require employing mathematical modeling skills and deep understanding skills, and working to increase the qualification and training of mathematics teachers by preparing special training courses for this purpose related to introducing them to mathematical modeling and its importance and how to implement it in the classroom , the researcher suggested several proposals, including: Conducting a study to reveal the ability of mathematics teachers on mathematical modeling skills

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Publication Date
Mon Jun 30 2025
Journal Name
Modern Sport
The Contribution Rate of Certain Cognitive and Visual Abilities to the Performance of Forehand and Backhand Skills in Tennis
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Publication Date
Fri Mar 18 2022
Journal Name
Aro-the Scientific Journal Of Koya University
Detecting Deepfakes with Deep Learning and Gabor Filters
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The proliferation of many editing programs based on artificial intelligence techniques has contributed to the emergence of deepfake technology. Deepfakes are committed to fabricating and falsifying facts by making a person do actions or say words that he never did or said. So that developing an algorithm for deepfakes detection is very important to discriminate real from fake media. Convolutional neural networks (CNNs) are among the most complex classifiers, but choosing the nature of the data fed to these networks is extremely important. For this reason, we capture fine texture details of input data frames using 16 Gabor filters indifferent directions and then feed them to a binary CNN classifier instead of using the red-green-blue

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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Engineering
Iraqi Sentiment and Emotion Analysis Using Deep Learning
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Analyzing sentiment and emotions in Arabic texts on social networking sites has gained wide interest from researchers. It has been an active research topic in recent years due to its importance in analyzing reviewers' opinions. The Iraqi dialect is one of the Arabic dialects used in social networking sites, characterized by its complexity and, therefore, the difficulty of analyzing sentiment. This work presents a hybrid deep learning model consisting of a Convolution Neural Network (CNN) and the Gated Recurrent Units (GRU) to analyze sentiment and emotions in Iraqi texts. Three Iraqi datasets (Iraqi Arab Emotions Data Set (IAEDS), Annotated Corpus of Mesopotamian-Iraqi Dialect (ACMID), and Iraqi Arabic Dataset (IAD)) col

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Publication Date
Wed Jun 29 2022
Journal Name
Journal Of The College Of Education For Women
The Degree to which Islamic Education Teachers Employ the Strategy of Directed Discovery in Teaching to Develop Higher-Order Thinking Skills
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The study aimed to know the degree to which Islamic education teachers employ the strategy of directed discovery in teaching to develop higher thinking skills (analysis, synthesis, and evaluation) among sixth-grade students at the basic stage in East Nile Province, Khartoum State - Sudan. The researcher used the descriptive-analytical method, and adopted a questionnaire that consisted of (15) indicators representing the skills of analysis, synthesis, and evaluation as a tool of the study. A random sample of (175) Islamic education teachers was selected, from the Department of Basic Education. The data were analyzed according to the Statistical Packages for Social Sciences (SPSS) program, and the results of the study have shown that the u

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Publication Date
Wed Jan 13 2016
Journal Name
University Of Baghdad
Employ Mathematical Model and Neural Networks for Determining Rate Environmental Contamination
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Publication Date
Wed Nov 03 2021
Journal Name
European Journal Of Humanities And Educational Advancements (
Impact of ASSURE Model on Mathematical Correlation and Achievement in Mathematics
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Publication Date
Fri Dec 30 2022
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Mathematical Modeling and Kinetics of Removing Metal Ions from Industrial Wastewater
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The study's objective is to produce Nano Graphene Oxide (GO) before using it for batch adsorption to remove heavy metals (Cadmium Cd+2, Nickel Ni+2, and Vanadium V+5) ions from industrial wastewater. The temperature effect (20-50) °C and initial concentration effect (100-800) mg L-1 on the adsorption process were studied. A simulation aqueous solution of the ions was used to identify the adsorption isotherms, and after the experimental data was collected, the sorption process was studied kinetically and thermodynamically. The Langmuir, Freundlich, and Temkin isotherm models were used to fit the data. The results showed that Cd, Ni, and V ions on the GO adsorbing surface matched the Langmuir mo

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Publication Date
Fri Dec 30 2022
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Mathematical Modeling and Kinetics of Removing Metal Ions from Industrial Wastewater
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The study's objective is to produce Nano Graphene Oxide (GO) before using it for batch adsorption to remove heavy metals (Cadmium Cd+2, Nickel Ni+2, and Vanadium V+5) ions from industrial wastewater. The temperature effect (20-50) °C and initial concentration effect (100-800) mg L-1 on the adsorption process were studied. A simulation aqueous solution of the ions was used to identify the adsorption isotherms, and after the experimental data was collected, the sorption process was studied kinetically and thermodynamically. The Langmuir, Freundlich, and Temkin isotherm models were used to fit the data. The results showed that Cd, Ni, and V ions on the GO adsorbing surface matched the Langmuir model with correlation coefficients (R2)

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Publication Date
Fri Apr 01 2022
Journal Name
International Journal Of Early Childhood Special Education
Digital culture skills among chemistry students at the College of Education for Pure Sciences, Ibn al-Haytham in Iraq
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Publication Date
Wed Mar 23 2022
Journal Name
Journal Of Educational And Psychological Researches
The effectiveness of a teaching program based on the McCarthy Model (4MAT) in developing creative writing skills and reflective thinking among university students
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The aim of this study was to determine the effect on using the McCarthy Model (4MAT) for developing creative writing skills and reflective thinking among undergraduate students. The quasi-experimental approach was adopted. And, in order to achieve the study objective, the educational content of Teaching Ethics (Approach 401), for the plan for the primary grades teacher preparation program  was dealt with by using a teaching program based on the McCarthy Model (4MAT) was used.

The study which was done had been based on the academic achievement test for creative writing skills, and the reflective thinking test. The validity and reliability of the study tools were also confirmed. The study was applied to a sample consisting of

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