Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userEffectiveness of Computer-Assisted Course to Teach Punch Straight Left-Oriented Head
فاعلية برنامج تعليمي بمساعدة الحاسوب لتعلم اللكمة المستقيمة اليسرى الموجهة للرأس
2165
0 39
0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
يهدف هذا البحث إلى دراسة فاعلية تعليم مهارة اللكمة المستقيمة اليسرى الموجهة للرأس باستخدام التكنولوجيا الحديثة عن طريق إعداد برنامج تعليمي باستخدام جهاز الحاسب الآلي وبرامج الوسائط المتعددة لتعليم هذه المهارة وتطبيقه على الملاكمين المبتدئين في نوادي تدريب الملاكمة في محافظة اللاذقية في الفترة الواقعة بين 2/6/2013 ولغاية 17/6/2013, ولتحقيق أغراض البحث قام الباحث بمقارنة نتائج الأداء للمجموعة التجريبية التي تعلمت بواسطة البرنامج التعليمي مع نتائج المجموعة الضابطة التي تدربت بالطريقة الاعتيادية المتبعة في النوادي, وانتهى البحث إلى أن هناك فروقاً ذات دلالة إحصائية بين المجموعتين التجريبية والضابطة في تعلم اللكمة المستقيمة اليسرى الموجهة للرأس وهذه الفروق لصالح المجموعة التجريبية, وبذلك توصلنا إلى ملاحظة التأثير الإيجابي للبرنامج التعليمي باستخدام الحاسوب لتعلم اللكمة المستقيمة اليسرى الموجهة للرأس.
This research aims to study the effectiveness of teaching sport skills with modern technology through the deployment of an educational program using a computer, and multimedia programs to teach the skill of the punch straight left-oriented head. The aim is also to apply it to boxer's junior clubs training boxing in the province of Lattakia in the period between 2/6 till 17/6/2013. To achieve the aim, the researcher compares the performance results of the experimental group that learned by tutorial, with the results of the control group which was trained in the usual way followed in the clubs. The research concludes that there are significant differences between the experimental and control groups in learning punch straight left-oriented head. These differences are in favor of the experimental group. This shows the positive impact of the educational program using computer to learn punch straight to the top of the left- oriented.
References used
سالم، وفيقه: تكنولوجيا التعليم والتعلم في التربية الرياضية، منشأة المعارف، الأسكندرية،2001
الفار،إبراهيم: تربويات الحاسوب وتحديات مطلع القرن الحادي والعشرين، العين: دار الكتاب الجامعي، 2003
عبد اللطيف الجزار: مقدمة في تكن ولوجيا التعليم- النظرية والتطبيق، دار الفكر العربي، القاهرة، 1999
rate research
Read More
The telescopic cantilever beam is widely used in different types of cranes. These
structures are flexible; it can expand or shrink according to the operating conditions. The
dynamic changes of the total length of the structure lead to time-dependen
t vibrational
characteristics. In practice, CAD modeling for this case is a challenging matter due to the
nature of the problem of analyzing stress and deformation occurring during the operation
of the crane. This research discusses the feasibility of finding a solution for the design
problems initialized during the failure of the telescopic cantilever beam through the
application of Finite Element Analyses (FEA) in order to find the ideal dimension of the
structure which represents the best design for the telescopic cantilever beam.
This paper presents a study aimed at improving the performance of the machine, hot steel rolling, and make them conform to international standards, where the study includes two phases: the first includes mathematical modeling and simulation programmi
ng language with a rolling machine. The second phase will include the development and testing of alternative control systems.
I tested the validity of this model through analyzes of performance curves derived from simulated and compared with the values of the curves and tables station real taken from the HSRMP. Through ensure this form to the parameters of the system characteristic variables representing the performance of the real station, this makes it a useful tool allows simulation of plant performance, explain the behavior of variables The test cases in addition to the possibility of change work and operating strategies to improve the overall operation. From this model performed the initial analysis, which proved the possibility of improving the performance of the station to implement the following modifications:
• Reduce the value of hard integrative models associated with the rings are positioned in the final stage.
• unification of all evil ratios for nutrition workshops.
• Revolving transfer is located in the last phase .
Note: HSRMP ( Hot strip rolling Mill plant ) .
The specialists boxing training have interested in physical, rhythmics skills and
functional aspects.one of the most important concerns are those associated to technical
performance level (skill in particular). Especially with regard to the ways an
d methods of
developing the physical attributes specific elements, and determining the level in this
game, which in turn qualifying the boxer to act mobility and tactical skills of boxing and
having successful performance on the ring (the art of the ring). These methods depend on
the full benefit of physical attributes.
The research aims to determine the effect of weight training in the Improving the
strength that is distinct by speed, and bearing the strength for arms for novice boxers.
After conducting tests and completing them totally, results are collected, processed
statistically, presented, and discussed in a scientific manner; in order to achieve the goal of
the search. At the end of the research we have reached a clear difference between the
normal and experimental groups; experimental groups were better.
The aim of this study is to investigate the effectiveness of using
computer in teaching histogram ( bar charts, creating a chart,
Coordinates) for key stage four pupils in Homs city. Specifically, the
study aimed to answer two questions:
Is there
statically significant differences between students
scores in the direct test of histogram chapter because of using
computer in teaching?
Is there statically significant differences between students
scores in the later test of histogram chapter because of using
computer in teaching?
As the labeling cost for different modules in task-oriented dialog (ToD) systems is expensive, a major challenge is to train different modules with the least amount of labeled data. Recently, large-scale pre-trained language models, have shown promis
ing results for few-shot learning in ToD. In this paper, we devise a self-training approach to utilize the abundant unlabeled dialog data to further improve state-of-the-art pre-trained models in few-shot learning scenarios for ToD systems. Specifically, we propose a self-training approach that iteratively labels the most confident unlabeled data to train a stronger Student model. Moreover, a new text augmentation technique (GradAug) is proposed to better train the Student by replacing non-crucial tokens using a masked language model. We conduct extensive experiments and present analyses on four downstream tasks in ToD, including intent classification, dialog state tracking, dialog act prediction, and response selection. Empirical results demonstrate that the proposed self-training approach consistently improves state-of-the-art pre-trained models (BERT, ToD-BERT) when only a small number of labeled data are available.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
