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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
Wed Dec 29 2021
Journal Name
Journal Of The College Of Education For Women
Impact of Electronic Games on the Increase of School Dropout among Students in the Basic Stage in Jordan from their teachers’ Perspective
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The study aims to identify the impact of electronic games on increasing the dropout rate among students in the basic stage in Jordan from their teachers’ point of view. The study adopted a descriptive survey method. Its community consisted of all fe(male) teachers of the basic stage in public and private schools, (First Amman, Irbid, and special education in Zarqa and Amman). The electronic questionnaire was used as a tool for the study. The results have shown that the effect of electronic games on increasing the dropout rate among students in the basic stage in Jordan was high. Besides, there are statistically significant differences due to the gender variable for males. There are statistically significant differences due to the varia

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Publication Date
Mon Feb 13 2023
Journal Name
Journal Of Educational And Psychological Researches
A Blended Learning Program Based on the Next Generation Standards (NYS) to Develop the Teaching Performance of Middle School Mathematics Teachers and Some Students’ Future Thinking Skills
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Abstract

The aim of the current research is to prepare an integrated learning program based on mathematics standards for the next generation of the NYS and to investigate its impact on the development of the teaching performance of middle school mathematics teachers and the future thinking skills of their students. To achieve the objectives of the research, the researcher prepared a list of mathematics standards for the next generation, which were derived from a list of standards. He also prepared a list of the teaching competencies required for middle school mathematics teachers in light of the list of standards, as well as clarified the foundations of the training program and its objectives and the mathematical

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Publication Date
Fri Jul 01 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
Survey on distributed denial of service attack detection using deep learning: A review
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Distributed Denial of Service (DDoS) attacks on Web-based services have grown in both number and sophistication with the rise of advanced wireless technology and modern computing paradigms. Detecting these attacks in the sea of communication packets is very important. There were a lot of DDoS attacks that were directed at the network and transport layers at first. During the past few years, attackers have changed their strategies to try to get into the application layer. The application layer attacks could be more harmful and stealthier because the attack traffic and the normal traffic flows cannot be told apart. Distributed attacks are hard to fight because they can affect real computing resources as well as network bandwidth. DDoS attacks

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Publication Date
Wed May 12 2021
Journal Name
Annals Of The Romanian Society For Cell Biology
The Speed and Direction of the Ball's Rotation and its Relationship to the Accuracy of the Front and Rear Side Longitudinal Blow in Wheelchair Tennis Players.
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The study aimed to identify the relationship between the speed and direction of the ball's rotation in the accuracy of the front and rear side longitudinal blow in wheelchair tennis players. The descriptive approach wasused in the manner of correlations to suit the nature of the problem to be studied. The research community identified the 32 players aged18 and over, and the search sample was selected from players with a local classification registered with the 2020 Wheelchair Ground Tennis Federation (2020) in the intentional manner of 8 players, using Smart Tennis Sensor technology to measure the speed and direction of the ball and test the accuracy of the front and rear side longitudinalstraightstrike. She conducted the reconnaissance exp

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Publication Date
Wed Dec 01 2021
Journal Name
Journal Of Physics: Conference Series
A comparison and classification of land use land cover to estimate their effect on environment: case study in Baghdad city
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Abstract<p>This study compared and classified of land use and land cover changes by using Remote Sensing (RS) and Geographic Information Systems (GIS) on two cities (Al-Saydiya city and Al-Hurriya) in Baghdad province, capital of Iraq. In this study, Landsat satellite image for 2020 were used for (Land Use/Land Cover) classification. The change in the size of the surface area of each class in the Al-Saydiya city and Al-Hurriya cities was also calculated to estimate their effect on environment. The major change identified, in the study, was in agricultural area in Al-Saydiya city compare with Al-Hurriya city in Baghdad province. The results of the research showed that the percentage of the green </p> ... Show More
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Publication Date
Sat Apr 01 2023
Journal Name
The Ocular Surface
Detecting dry eye from ocular surface videos based on deep learning
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Publication Date
Tue Sep 01 2015
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Kick tolerance control during well drilling in southern Iraqi deep wells
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The importance of kick tolerance in well operations has recently increased due to its implications in well design, in drilling and well control. To study a simple method for the application of kick tolerance concept in an effective way on the basis of field data, this research purpose is to improve knowledge about Kick Tolerance and represents a technical basis for the discussion on revision of standard procedure. The objective of this work is to review and to present a methodology of determination the kick tolerance parameters using the circulation kicks tolerance concepts. The proposed method allows to know, to evaluate and to analyze the kick tolerance problem in order to make the drilling execution safer and more economical by reducin

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Publication Date
Wed Oct 07 2020
Journal Name
Indian Journal Of Forensic Medicine &amp; Toxicology
Effectiveness of Deep Brain Stimulation in Iraqi Patients with Parkinson Disease
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Publication Date
Thu Dec 16 2021
Journal Name
Translational Vision Science &amp; Technology
A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps
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Publication Date
Wed Mar 15 2023
Journal Name
International Journal Of Advances In Intelligent Informatics
An automatic lip reading for short sentences using deep learning nets
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One study whose importance has significantly grown in recent years is lip-reading, particularly with the widespread of using deep learning techniques. Lip reading is essential for speech recognition in noisy environments or for those with hearing impairments. It refers to recognizing spoken sentences using visual information acquired from lip movements. Also, the lip area, especially for males, suffers from several problems, such as the mouth area containing the mustache and beard, which may cover the lip area. This paper proposes an automatic lip-reading system to recognize and classify short English sentences spoken by speakers using deep learning networks. The input video extracts frames and each frame is passed to the Viola-Jone

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