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Effect of using the active learning in the achievement of third grade intermediate students in mathematics and them tendency towards the study of its
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Current research aims to find out:

  1. Effect of using the active learning in the achievement of third grade intermediate students in mathematics.
  2. Effect of using of active learning in the tendency towards the study of mathematics for students of third grade intermediate.

In order to achieve the goals of the research, the researcher formulated the following two hypotheses null:

  1. There is no difference statistically significant at the level of significance (0.05) between two average of degrees to achievement the experimental group who are studying the use of active learning and the degrees of the control group students who study in the traditional method in mathematics.
  2. There is no difference statistically significant at the level of significance (0.05) between two average of degrees students the experimental group who are studying using the active learning and the degrees of the control group students who study in the traditional method in measurement of the tendency towards the study of mathematics.

The research community consists of all the schools in the third grade students intermediate in the Maysan province, where the applied researcher experience. The researcher was selected randomly al-amani intermediate for boys and where there are three divisions of the third grade intermediate and was selected two divisions of which were distributed randomly into two groups, one experimental and the other control. The researcher equivalents between the two groups (experimental and control) In some variables such as (chronological age, previous average, achievement in mathematics, the degree of intelligence, educational level of parents).

The Scientific content included the first four chapters (groups, relationships, and applications/ real numbers/ analysis/ mathematical sentences) of the book Mathematics for the third grade intermediate approved for the academic year 2010-2011.

The researcher prepared two types of teaching plans, the first of the control group according to the traditional method, the second for the experimental group, who studied by the active learning strategies.  Has been prepared by the researcher to search tools are the achievement test and the measure of the tendency towards study of mathematics.

The results of research had been, there is a statistically significant difference in achievement test and measure of the tendency towards study of  mathematics in favor of the experimental group.

As a complement to research, the researcher formulated a number of recommendations and suggestions.

 

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Publication Date
Wed Dec 18 2024
Journal Name
International Journal Of Environmental Analytical Chemistry
Biocomposite adsorbent (cross-linked chitosan + algae + montmorillonite) for methyl violet 2B dye removal: statistical modelling and optimisation
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Herein, a biocomposite of crosslinked chitosan polyethylene glycol diglycidyl ether (CS-PEDGE), montmorillonite (MMT), and foodgrade algae (FGA) was successfully prepared by a hydrothermal technique. The resulting absorbent (CS-PEDGE/FGA/MMT) was assessed for its adsorption property with methyl violet 2B (MV 2B) a toxic cationic dye. The physicochemical properties of CS-EDGE/ FGA/MMT were assessed via various analytical techniques, including BET, Elemental analysis, pHpzc, and spectroscopy (FTIR, XRD, SEM-EDX). The influence of three adsorption variables, namely adsorbent dose (A: 0.02–0.1 g/100 mL), solution pH (B: 4–10), and contact time (C: 10–420 min) on the rate of MV 2B dye removal was examined using the Box-Behnken design (RSM-

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Sun Jun 01 2025
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Publication Date
Fri May 28 2021
Journal Name
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Publication Date
Mon Dec 05 2022
Journal Name
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MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation
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Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the s

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Publication Date
Wed Sep 25 2019
Journal Name
Journal Of The College Of Education For Women
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Publication Date
Sun Oct 25 2020
Journal Name
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Thu Jan 06 2022
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