The current research aims at detecting Brain Dominance Learning Styles distinguished
and ordinary secondary school students (males and females).The researcher adopted Torrance
measure, known as ‘the style of your learning and thinking to measure Brain Dominance
Learning Styles’, the codified version of Joseph Qitami (1986); picture (a). The researcher
verified the standard properties of tool. The final application sample was 352 distinguished
and ordinary students; 176 distinguished male and female students and 176 ordinary male and
female students at the scientific fifth level of secondary school from schools in the province of
Baghdad, AL- KarKh Education Directorates in the First and Second . and who have been
selected in a stratified random sampling . After the application the tool of research and
analysis of the data statistically by using statistical methods ( Chi- Square, ,Guttman
Correlation), the Researcher arrived at the following results:
1.The right learning style is the dominant brain style among Individuals the research sample
Applied .
2.The presence of statistically significant differences in the right Brain Dominance Learning
Style among the sample Individuals at distinguished and ordinary in favor of distinguished
students .
3. The lack of statistically significant differences in the Brain Dominance Learning Styles can
be attributed to the sex variable.
The study aims to examine the emotional innovation, constructive thinking, foresight, and meditation among university students. Besides, attempts to explore the relationship between emotional innovation and constructive thinking, the relationship between emotional innovation and foresight, and meditation, the relationship between constructive thinking and foresight, and meditation, finally, the relationship among emotional innovation, constructive thinking, foresight, and meditation of university students regarding the variables of gender and major. A total of (400) students were selected as a sample for the study. The results revealed that university students have a high level of emotional innovation that induce them to take positive ro
... Show MoreThe current study aims to develop a proposed educational program based on augmented reality (AR) technology, in addition to assessing its effectiveness in developing research and historical imagination skills of the Humanities Track's female students at the secondary stage, as well as assessing the correlative and predictive relationships between the amount of growth for the two dependent variables. To achieve this, a secondary school in the city of Makkah Al-Mukarramah was chosen, and an available random sample of (30) female students from the study population was selected. The quasi-experimental approach was followed by this study, particularly one group design. In addition, two tools were used to collect study data, namely: a test of
... Show MoreMH Hamzah, AF Abbas, International Journal of Early Childhood Special Education, 2022
ملخص البحث
تبحث الدراسھ عن تنفیذ افضل لمفھوم التعلم مدى الحیاة كھیكل موجھ للسیاسة التربویة في العراق بشكل عام وفي
التعلیم العالي بشكل خاص. تحدد الدراسة استراتجیات التعلم مدى الحیاة وتناقش اھمیتھ وسماتھ الرئیسیة لتسھیل
الوصول الى فرص تعلم متمیز و ملائم لحاجات الطلبة مدى الحیاة، كما تناقش دور الجامعة في تحقیق ھذا الھدف.
The aim of the present study is to identify the level of prosoical behavior of Baghdad University's students and to recognize the differences between male and female students. Moreover, it also aims to identify the level of openness to experience for these students. A random sample of (123) students has been selected; 77 males and 46 females. Two scales have been used in the study. The Prosocialness scale for adults by Caprara. Et al (2005) has been translated into the Arabic language and relies on four types of actions (Helping, Sharing, Taking care, and feeling Empathetic with others) and the other scale is the Openness to Experience Scale, which is one of the Big Five Inventory by John and Srivastava (1999). The main results showed a
... Show Morestudy aimed to recognize The relationship between Intrinsic Motivation Academy and Time Management among University students and measure Intrinsic Motivation Academy And Time Management for sample and Balancing Degrees of Basic Research on the two scales According to the Variable genders and Specialization, The sample consisted (350) students by (230) female (120) male , and the sample responded scales of Intrinsic Motivation Academy for (Alwan & Attaat2009) and Time Management (Building tool), The Results of this study show that: There are statistically significant differences according to gender variable in Intrinsic Motivation Academy and Time Management in favor of the male, and there are statistica
... Show Moreيرى الباحثون في علم النفس إن السنوات الأولى من حياة الطفل هي من أهم السنوات في تكوين شخصيته وتوجيهها وتنشئتها النشأة التي تبنى عليها أصولها من خلال مراحل النمو التالية. ( الطحان، 1987، ص 17)
إن من أهم أنواع السلوك التي يتعلمها الطفل في بداية السنة الأولى من حياته هي الاستجابات الاجتماعية للناس نتيجة تفاعله مع أمه وان هذه الاستجابات للام أو لمن ينوب عنها يتسع مجالها كل
... Show Moreهدف البحث التعرف على الملل الأكاديمي لدى طلبة المرحلة المتوسطة، فضلا عن التعرف على الفروق في الملل الاكاديمي على وفق متغير الجنس ومتغير الصف الدراسي، استخدمت الباحثة المنهج الوصفي، تكونت عينة البحث من ( 200) طالباً وطالبة تم اختيارهم بطريقة عشوائية وبعد تطبيق مقياس الملل الاكاديمي (من اعداد الباحثة) على عينة البحث وباستخدام الوسائل الإحصائية المناسبة توصلت نتائج البحث الى ان: طلبة المرحلة المتوسطة تعاني من ال
... Show Moreهدفَ البحث الى التعرف على درجة الاتزان الانفعالي لدى الطلبة، التعرف على الفروق في درجات الإتزان الإنفعالي تبعاً لمتغير النوع (ذكور–إناث) والتعرف على الفروق في درجات الإتزان الإنفعالي تبعا لمتغير المرحلة الدراسية (الاول- الثالث)، من أجل تحقيق أهداف البحث قامت الباحثة إعداد مقياس الإتزان الإنفعالي بالإعتماد على نظرية التحليل النفسي لفرويد، وكان عدد فقرات المقياس بصورة النهائية من (20) فقرة، وطُبق مقياس البحث
... Show MoreSelf-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steerin
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