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Translation & Adaptation of(Patterns) & (Assembly) Scales of The Flanagan Aptitude Classification Tests (FACT)
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The Flanagan Aptitude Classification Tests (FACT) assesses aptitudes that are important for successful performance of particular job-related tasks. An individual's aptitude can then be matched to the job tasks. The FACT helps to determine the tasks in which a person has proficiency. Each test measures a specific skill that is important for particular occupations. The FACT battery is designed to provide measures of an individual's aptitude for each of 16 job elements.

The FACT consists of 16 tests used to measure aptitudes that are important for the successful performance of many occupational tasks. The tests provide a broad basis for predicting success in various occupational fields. All are paper and pencil tests that can be given to an individual or to a large group by a single examiner.

Each of the 16 tests in the FACT series is printed in a separate booklet. This allows the tests to be administered individually or as a complete battery. One of these tests is (Patterns Scale & Assembly Scale), which consists of different shapes that needs an answer.

The Flanagan Aptitude Classification Tests have been used in a wide variety of organizations. These include industrial and business firms, educational institu­tions, hospitals, nursing schools and various governmental institutions. The FACT may be used for selection, placement, reclassification and vocational counseling. There are a recommended tests for 37 occupational areas, as well as general college aptitude, all of these tests are listed in the original manual of the (FACT Battery)

Selection and Placement: The FACT may be used individually or as a partial or complete battery to aid in selection and placement. If used in selection, the battery can be a valuable aid in determining if the applicant has the capacity to learn the job requirements. If used in placement, the battery can identify individuals who have more ability and aptitude that fit the requirements of one job better than another. A person who has a high aptitude for engineering, for example, should be able to learn the skills of engineering quickly and enjoy above-average success as an engineer. An individual with a low aptitude for engineering will probably have difficulty in learning engineering skills. Different occupations require different test combinations to assess the specific job-related skills necessary to perform adequately in each position.

Vocational Counseling: The FACT can be administered to individuals or to a large group. Selected individual tests of the battery may be administered if desired. Selected tests from the FACT battery may be used with an individual who has tentatively decided upon a vocation. The occupational Stanine score, discussed in this study, provides an index of probable success in the vocation. A high score indicates high abilities in that area. Conversely, a low score indicates low abilities in that area. FACT scores can help both the individual and the counselor in providing realistic vocational planning.

Vocational Classes: The FACT may also be used in school courses for vocational planning. After the students have completed the FACT, each student should compute his or her occupational Stanine scores. These scores can then be the focus of discussion centering both on explanation and interpretation. The FACT scores provide students with an increased self-understanding of their vocational aptitudes. A student can then make wiser vocational decisions by matching his/her abilities with the requirements of a job. Overall, the FACT scores provide highly valuable information for individual vocational planning and broad school programs for vocational guidance.

From the above introduction, the importance of this study arises, and the study aimed to translate and make an adaptation of (Patterns Scale & Assembly Scale) to be a valid and reliable instruments for the Iraqi population.

After getting through the procedures of this study, the above-mentioned Scales has been translated and adapted for the Iraqi environment according to the international standards for translations and adaptations of psychological assessments, and resulting an Arabic valid and reliable version suitable for the Iraqi environment. The research outcomes also with some recommendations & suggestions.

 

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Publication Date
Sat Apr 01 2023
Journal Name
Journal Of Engineering
Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)
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One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resources for Artificial Neural Networks (ANN) to reduce redundant computation. The test system uses Internet of Things (IoT) services through our ca

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Publication Date
Tue Dec 03 2013
Journal Name
Baghdad Science Journal
Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means
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Publication Date
Sun Jan 30 2022
Journal Name
Iraqi Journal Of Science
A Survey on Arabic Text Classification Using Deep and Machine Learning Algorithms
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    Text categorization refers to the process of grouping text or documents into classes or categories according to their content. Text categorization process consists of three phases which are: preprocessing, feature extraction and classification. In comparison to the English language, just few studies have been done to categorize and classify the Arabic language. For a variety of applications, such as text classification and clustering, Arabic text representation is a difficult task because Arabic language is noted for its richness, diversity, and complicated morphology. This paper presents a comprehensive analysis and a comparison for researchers in the last five years based on the dataset, year, algorithms and the accuracy th

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Publication Date
Thu Nov 17 2022
Journal Name
Journal Of Information And Optimization Sciences
Hybrid deep learning model for Arabic text classification based on mutual information
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Publication Date
Mon Aug 31 2015
Journal Name
Journal Of Theoretical And Applied Information Technology
EXAM QUESTIONS CLASSIFICATION BASED ON BLOOM’S TAXONOMY COGNITIVE LEVEL USING CLASSIFIERS COMBINATION
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Publication Date
Mon Apr 03 2023
Journal Name
Journal Of Educational And Psychological Researches
The Effectiveness of Using Cubing Technique in the Iraqi EFL Secondary Students' Composition Writing, Vocabulary, and Meta-Cognitive Awareness
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Abstract

The aim of this research is to determine how well the Cubing Technique affects the Iraqi EFL students' composition writing, vocabulary, and meta-cognitive awareness of writing strategies. The sample of (64) secondary-school female students in the fifth grade is drawn from two classrooms and split into two equal groups: the experimental group and the control group, each of which consists of (32) students. A quasi-experimental design is applied. The performance test and Meta-cognitive Writing Strategies questionnaire are given as a pre-test for equalizing the two groups after ensuring their validity and reliability. Then, they are administrated as a posttest in both groups. According to the results, the si

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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
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
The use of the Biz method and classical methods in estimating the parameters of the binary logistic regression model
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Abstract

          Binary logistic regression model used in data classification and it is the strongest most flexible tool in study cases variable response binary when compared to linear regression. In this research, some classic methods were used to estimate parameters binary logistic regression model, included the maximum likelihood method, minimum chi-square method, weighted least squares, with bayes estimation , to choose the best method of estimation by default values to estimate parameters according two different models of general linear regression models ,and different s

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Publication Date
Wed Jul 01 2020
Journal Name
Proceedings Of The Institution Of Mechanical Engineers, Part H: Journal Of Engineering In Medicine
Comparison study of classification methods of intramuscular electromyography data for non-human primate model of traumatic spinal cord injury
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Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of symptoms that can be attributed to the nerve fiber tracts that are compromised. This includes limb weakness, sensory impairment, and truncal instability, as well as a variety of autonomic abnormalities. This article will discuss how machine learning classification can be used to characterize the initial impairment and subsequent recovery of electromyography signals in an non-human primate model of traumatic spinal cord injury. The ultimate objective is to identify potential treatments for traumatic spinal cord injury. This work focuses specifically on finding a suitable classifier that differentiates between two distinct experimental

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Publication Date
Mon Jun 01 2015
Journal Name
Journal Of The College Of Languages (jcl)
Problemas en la Traducción de la Fraseología del Español al Árabe en el Texto Literario ( Un Estudio Comparativo desde el Punto de Vista Traductológico)
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Problems in the Translation of Spanish phraseology to Arabic in the Literary Text (A Comparative Study from the Perspective translatological)

 

Abstract

One of the most common problems facing the translator is the identification and subsequent search for correspondences of phraseological units. The importance of the phraseological competence in a foreign language is widely recognized by many authors (Howarth, Corpas Pastor, Pamies Bertran, to name a few).

We must lose our fear to recognize that the domain of the phraseology is the highest level of command of any language. The objective of the present study is to clarify the differences in UFS Spanish to Arabi

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