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.
Recently, the development and application of the hydrological models based on Geographical Information System (GIS) has increased around the world. One of the most important applications of GIS is mapping the Curve Number (CN) of a catchment. In this research, three softwares, such as an ArcView GIS 9.3 with ArcInfo, Arc Hydro Tool and Geospatial Hydrologic Modeling Extension (Hec-GeoHMS) model for ArcView GIS 9.3, were used to calculate CN of (19210 ha) Salt Creek watershed (SC) which is located in Osage County, Oklahoma, USA. Multi layers were combined and examined using the Environmental Systems Research Institute (ESRI) ArcMap 2009. These layers are soil layer (Soil Survey Geographic SSURGO), 30 m x 30 m resolution of Digital Elevati
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is theoretically studied. The encoding techniques has been used is
chaos masking of sinusoidal signal (massage), an optical chaotic
communications system for different receiver configurations is
evaluated. It is proved that chaotic carriers allow the successful
encoding and decoding of messages. Focusing on the effect of
changing the initial conditions of the states of our dynamical system
e.i changing the values (x, y, z, x1, y1, and z1).
In recent years, with the rapid development of the current classification system in digital content identification, automatic classification of images has become the most challenging task in the field of computer vision. As can be seen, vision is quite challenging for a system to automatically understand and analyze images, as compared to the vision of humans. Some research papers have been done to address the issue in the low-level current classification system, but the output was restricted only to basic image features. However, similarly, the approaches fail to accurately classify images. For the results expected in this field, such as computer vision, this study proposes a deep learning approach that utilizes a deep learning algorithm.
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Generalized multivariate transmuted Bessel distribution belongs to the family of probability distributions with a symmetric heavy tail. It is considered a mixed continuous probability distribution. It is the result of mixing the multivariate Gaussian mixture distribution with the generalized inverse normal distribution. On this basis, the paper will study a multiple compact regression model when the random error follows a generalized multivariate transmuted Bessel distribution. Assuming that the shape parameters are known, the parameters of the multiple compact regression model will be estimated using the maximum likelihood method and Bayesian approach depending on non-informative prior information. In addition, the Bayes factor was used
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People’s ability to quickly convey their thoughts, or opinions, on various services or items has improved as Web 2.0 has evolved. This is to look at the public perceptions expressed in the reviews. Aspect-based sentiment analysis (ABSA) deemed to receive a set of texts (e.g., product reviews or online reviews) and identify the opinion-target (aspect) within each review. Contemporary aspect-based sentiment analysis systems, like the aspect categorization, rely predominantly on lexicon-based, or manually labelled seeds that is being incorporated into the topic models. And using either handcrafted rules or pre-labelled clues for performing implicit aspect detection. These constraints are restricted to a particular domain or language which is
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Electrical magnate was designed and constructed, the optimum Magnetic flux and the effect of time on the physical properties of the alkaline (magnetic water) produced from the bottled drinking water [the total dissolved solids (TDS) or the electrical conductivity, and pH] were studied, to simulate ZamZam water in Mekka Saudi Arabia. Also, the efficiency of magnetic field from this designed electrical magnate in decreasing the TDS of sea water (of 1500 ppm NaCl Content), to convert it to water suitable for irrigation (TDS<1000 ppm) was investigated in this work.The results show that the magnetic flux from our designed electrical magnate in the range of (0.013- 0.08) Tesla and 30 minut
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