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The effectiveness of the constructivist learning model in acquiring the Institute of Fine Arts' students of artistic analysis skills: اخلاص عبد القادر طاهر
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The constructivist learning model is one of the models of constructivist theory in learning, as it generally emphasizes the active role of the learner during learning, in addition to that the intellectual and actual participation in the various activities to help students gain the skills of analyzing artistic works. The current research aims to know the effectiveness of the constructivist learning model in the acquisition of the skills of the Institute of Fine Arts for the skills of (technical work analysis). To achieve the goal, the researcher formulated the following hypothesis: There are no statistically significant differences between the average scores of the experimental group students in the skill test for analyzing artworks before and after.
The theoretical framework included the concept of constructivism and the structural model and its stages, as the researcher presented the taste and analysis of technical work and has adopted in its procedures the experimental one-group approach with two tests (pre-dimensional), as it is the most appropriate approach to achieve the goal of the current research. The research community consisted of male (2264) students of institutes of fine arts for the academic year 2019-2020. The basic research sample chose: The Institute of Fine Arts - the first Rusafa, numbering (30) students, where the choice was made for the fifth stage students - Design Department, after conducting the simple random lottery and conducted the pre-skill test to determine the levels of students in the artistic taste analysis Technical works and comparing its bicycles to the post-skill test scores. The researcher also prepared a form to evaluate the skill performance of students in their implementation of the requirements of the skill test consisted of (10) paragraphs for which he specified a five-point scale, and thus the total score obtained by the student in his analysis of the technical work is equal to (50) stairs . It was presented to the experts, and in light of their observations, it became usable and after honesty and consistency were achieved for them, it was applied to the basic sample of the research. Statistical methods were used; the researcher used the statistical bag (spss) to process the data. After applying the skill test, the results indicated the appearance of a difference in the average score of the experimental group between the pre and posttests, and the direction of this difference referred to the post skill test, due to the sequence followed in students' learning and their acquisition of technical analysis skills according to the constructive learning model.
Based on the results that have emerged, the researcher concludes the following:
1- The ability of the constructive learning model to acquire cognitive information in the technical taste subject for fifth stage students.
2- The emergence of capabilities and capabilities of the fifth stage students in the analysis of technical work after they have acquired the steps of analysis according to the analytical premises of the structural approach.
The researcher suggested conducting the following studies:
1- Conducting a comparative study of the constructive learning model and other forms of learning to determine which is more effective in acquiring technical work analysis skills.
2- Carrying out similar studies to the current study, according to other modern monetary approaches, such as semiotic, deliberative, and deconstructive.
Key words: effectiveness - constructive learning model - acquisition - skill - analysis - technical work.

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Publication Date
Thu Jul 02 2009
Journal Name
Journal Of Educational And Psychological Researches
تأثير الإشارات في استرجاع معلومات نص أدبي لدى طلبة كلية الهندسة
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أهمية البحث والحاجة إليه :

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Publication Date
Fri Apr 01 2022
Journal Name
Baghdad Science Journal
Improved Firefly Algorithm with Variable Neighborhood Search for Data Clustering
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Among the metaheuristic algorithms, population-based algorithms are an explorative search algorithm superior to the local search algorithm in terms of exploring the search space to find globally optimal solutions. However, the primary downside of such algorithms is their low exploitative capability, which prevents the expansion of the search space neighborhood for more optimal solutions. The firefly algorithm (FA) is a population-based algorithm that has been widely used in clustering problems. However, FA is limited in terms of its premature convergence when no neighborhood search strategies are employed to improve the quality of clustering solutions in the neighborhood region and exploring the global regions in the search space. On the

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Mon Sep 01 2008
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Wed Nov 28 2018
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