نعرض في هذه المحاضرة بعض المقارنات بين أصول التفسير وعلوم أخرى قريبة منه بدرجة من درجات التقارب. مثل علم أصول التفسير وعلوم القرآن.
علم أصول التفسير وعلم أصول الفقه.
علم أصول التفسير وقانون التأويل
أصول التفسير والهرمنيوطيقا
The deep learning algorithm has recently achieved a lot of success, especially in the field of computer vision. This research aims to describe the classification method applied to the dataset of multiple types of images (Synthetic Aperture Radar (SAR
) images and non-SAR images). In such a classification, transfer learning was used followed by fine-tuning methods. Besides, pre-trained architectures were used on the known image database ImageNet. The model VGG16 was indeed used as a feature extractor and a new classifier was trained based on extracted features.The input data mainly focused on the dataset consist of five classes including the SAR images class (houses) and the non-SAR images classes (Cats, Dogs, Horses, and Humans). The Convolutional Neural Network (CNN) has been chosen as a better option for the training process because it produces a high accuracy. The final accuracy has reached 91.18% in five different classes. The results are discussed in terms of the probability of accuracy for each class in the image classification in percentage. Cats class got 99.6 %, while houses class got 100 %.Other types of classes were with an average score of 90 % and above.
The study showed clearly the historical roots of the Armenian migrations to Syria, and put the first building blocks of the beginnings of these migrations, which was built on the basis of which after a while commercial and social relations between the Arabs and Armenians.
تنبع مشكلة البحث في معرفة هل ساهم الإنفاق على التعليم في الدول النامية في رفد التنمية المنشودة بكوادر بشرية عالية التأهيل وفي مجالات متعددة بغية تضيق الفجوات بينها وبين الدول المتقدمة صناعيا. أما الأهمية فهي تتناول مدى مساهمة الإنفاق على التعليم كونه
كلفة من جهة واستثمارا ذو عائد مستقبلي من جهة أخرى فيما لو أحسن توجيهه وفي مجالات محددة متخذة من رؤية مستقبلية تنطلق من إستراتيجية واضحة المعالم تأخذ بنظر
الاعتبار التحولات الكبيرة في مجال سوق العمل في ظل تحولات الاقتصاد نحو المعرفية وما يترتب على ذلك من عن طبيعة سوق العمل التي سادة في الاقتصادات الصناعية التقليدية التي
تعليم ومهارات وخبرات تكاد تختلف كليا استمرت حتى العقود الأخيرة من القرن العشرين.
The Present Study aims at developing The California Critical Thinking Skills Test for University Students According to the Latent Traits Theory. To Achieve this aim, Scientific Steps are followed Starting with the Translating the Items and its Instru
ctions from English into Arabic, then re-translated the Arabic version into English, taking into consideration the accuracy and comprehensiveness of the whole ideas included in the test. Several modifications are required by translation experts and which were considered later. Then the Arabic version of the test is exposed on an Arabic Language expert who recommended certain modification in the style of the Arabic translation, and which were all taken into accont. The final Arabic version of the test is exposed on a number of experts in the field of Educational and Psychological Sciences in order to check its suitable characteristics as well as those of the alternatives with respect to form and content. Consequently all the test items are considered logically suitable to achieve the aim of the present study. The test is applied on a pilot sample of (50) male and female students in order to ensure the clarity of the test items and instruction, and to estimate the time required to respond to the test and which is fond out to be (50) minutes. The test Has applied on a stratified random sample of (500) male and female university students. Rasch's unit- dimension model, which is one of the Latent Trait Theory models, is applied for item analysis. To verify model's assumptions, the follow steps are applied:1. One-dimensional: In order to verify this assumption, factor analysis is done by using (the Principal components Method). According, One factor meaningful to the test. The same factor depended on the lower limits of Guttman who believes that a factor is considered statistically significant when the (Eigen value) equals or more than (1), and depending on a ratio of (0.30 – up) to represent the items saturation ratio by the general factor according to Guilford's norm. No item is omitted from the test. another method is used to achieve One-dimensionality of the test which is by finding out Point Biserial correlation (i.e the relation of the item score with total score of the test) as an internal consistency index between the test items since it is directed to measure one trait or ability.2. Matching the items of the model depending on the (Chi² value) according to the outputs of the program. This Procedure shows that four Items are statistically significant on a level of significance of (0.05). Therefore, (18) individuals of the sample of the statistical analysis were eliminated who have unmatched responses with the model's assumptions. 3.The discrimination coefficient value is found out to be near (1), where the exact value is found out to be (1. 03).4.The independence of the scale to achieve objectivity of measurement is represent by Rasch's model, consequently, no items are removed.5.In order to get rid of fractions and negative signals (i.e. minus), the logget unit is changed in to the percentile WAT unit to find out the items difficulty and the individual's ability estimation. In the light of the statistical analysis above, suitable conclusions, recommendations, and suggestions for further studies are put forward.
