The Skill of Making a Decision and its Relationship of Academic Achievement Among Students

This research aims to know the essence of the correlative relationship between decision-making skills and academic achievement among students of computer science departments in the colleges of education in the Baghdad governorate. The size of the research sample of students in the two colleges amounted to (200) male and female students distributed by (104) male and (96) female students. To measure the decision-making skill and academic achievement, the researcher built two tests, the first to measure the decision-making skill, and the second an achievement test in the numerical analysis subject prescribed for second-year students, Department of Computer Science, and the validity and reliability of each test was verified. After collecting and analyzing the data, the researchers concluded that the students of the computer science departments in the colleges of education in the province of Baghdad possessed the decision-making skill compared to the hypothetical average that was compared, while the female students outperformed the male students in the decision-making skill test that was prepared for this research. And their achievement is good compared to the hypothetical average that was compared, while the female students outperformed the male students in the achievement test for the subject of numerical analysis. There is a correlation between the decision-making skill and the academic achievement of the students as a whole. However, there is no correlation between the decision-making skill and the students' academic achievement, while there is an inverse correlation between the decision-making skill and the student's achievement. The research reached several recommendations.

Metacognitive and Metaemotional Training Strategies through the Nine-layer Pyramid Model of Emotional Intelligence

Emotional intelligence constitutes an important 21st century skill that impacts positively several areas of everyday life. It contains competencies that enhance the ability of other significant skills for self-development. The main purpose of this study is to present the way we can develop and improve our emotional intelligence based on the pyramid model and its nine layers. To achieve this goal, the paper seeks to address the following question: What are the metacognitive and metaemotional skills and strategies that can play a key role in developing, enhancing and improving emotional intelligence?Extensive reference is made to the skills that involved in each layer and have been identified as necessary and should be cultivated by the individual leading gradually to the higher levels of self-actualization and transcendence. Furthermore, we suggest some strategies in each layer that work auxiliary and supportive for the cultivation of the specific skills.Metacognitive and metaemotional skills and strategies are necessary to conquer the levels of emotional intelligence and to apply in a variety of contexts with the aim of developing emotional intelligence and self-improvement.

Noise Management in Homomorphic Encryption Scheme: Analyzing of Algorithm

Homomorphic encryption is the Swiss army of cryptography. It allows to perform computations on encrypted data. this conjecture of processing on encrypted data was stated by [RAD78]. Until Gentry breakthrough in 2009, only partial solutions were offered. They deal with encrypted data with bounded functions in operations.Gentry raised the bound of number of operations by introducing a new method called the bootstrapping. This method allows to reduce the noise in the ciphertext and to perform more computing on it. Since Gentry's breakthrough, several improvements and several alternatives to the bootstrapping technique have been proposed to improve execution time and reduce resource consumption. This article studies the growth of noise and the noise management strategy in homomorphic encryption. It also presents the trend of hoping strategy from 2009 to 2016. Through the DGHV, it shows the management of noise on a one-bit encrypted message.

Technology Development Recommendations of Artificial Intelligence used in Library

The library is a place to read books with various collections so that readers can get various sources of knowledge. But in this technological era, people want things that are more practical. With the presence of Artificial intelligence, it can be applied and integrated into the library system. A common problem when readers come to the library is to look for literature according to their choice, both in terms of the name, image, type, and form of the literature. Artificial intelligence can help in searching literature based on recommendations and ratings, so readers don't have to bother looking for the desired literature one by one from the available bookshelves. This certainly makes it easier for readers to search for literature, especially those who are confused about where to look. The recommendation system used is the recommendation method, where the method is a method that combines Filtering and Ranking. This research is intended so that readers who are in the library can easily and quickly search for their literature.

The Role of Clinical Hypnosis & VR in Special Education

Clinical hypnosis is becoming increasingly recognized as a valuable clinical intervention for a wide range of psychological and medical problems. The current review paper seeks to determine the role of clinical hypnosis in learning difficulties, emotional or behavioral problems and physical disabilities. In addition, we co-examine the effectiveness of virtual/augmented reality hypnosis. Finally, we discuss the possible uses of clinical hypnosis within the educational settings. The results showed that hypnosis may hold the keys for new types of metacognitive strategies based on non-verbal pathways of effortless self-regulation.

How Can Transactional Semantics Enhance the Commit Rate of Context-aware Service Composition in Advanced Pervasive Systems?

Context-aware composition of services exhibiting transactional properties poses several challenges. A major challenge is the transactional behavior of candidate services which is subject to perpetual change while the composition is running. Compositions of services displaying transactional properties must be dynamically adapted at run time to cope with context fluctuations. By dynamic adaptation, we refer to the ability to alter the composition behavior in response to changes affecting its execution. We focus on changes impacting the successful commit rate of transactional service composition. This has led us to explore the trail of a flexible homeomorphism between alternative behaviors. We propose a behavioral adaptation approach that adjusts the behavior of transactional compositions of services in a proactive and transparent manner. This strategy is based on the Profiled Task Class concept. A service composition generator has also been developed for the performance evaluation of components implementing the behavioral adaptation strategy in order to identify its impact on the commit rate of CATS compositions.

Technology as a Source of Language Input and Practice and its Influence on the Vocabulary Development of University EFL Students

This paper addresses the extent to which technology-based language resources and tools influence the vocabulary development among University students learning English as a foreign language (EFL). The vocabulary development of 184 undergraduate students at the University of xxxxxxxx (xxxxxxx) is studied in terms of the growth of their receptive vocabulary size as well as their use of vocabulary learning strategies (VLS) across three years, and any possible correlation between this development and the use of technology is analysed. Findings reveal that for the majority of the population, the highly frequent use of multimedia tools was largely confirmed; however, for most students there was no significant correlation between the use of such resources and the growth pattern of their vocabulary knowledge. Only the low-intermediate students who had just joined the university were the exception, as their use of Internet to search for information or to communicate with others seemed to be significantly correlated to their vocabulary development. These findings have interesting implications for the classroom as they show the high potential of technology-based resources in developing vocabulary especially in environments in which English is taught as a foreign language (FL), and used only in classroom contexts. Learners appear to be "connected" enough and avid of technology based tools; however, they seem to need assistance from instructors to maximize the positive support of such tools on their language learning in general and vocabulary development in particular.

The Influence E-Learning Platforms of Undergraduate Education in Iraq

continue learning. Technology has become not only an activity but also a fundamental tool. Moreover, technology becomes the core media that allows education to happen. In Iraq Blended Learning used to overcome the pandemic and counting education Therefore, the use of computers and digital applications became part of daily life and for long hours. Therefore, properly designed digital educational activities linked to social media have become a powerful educational tool aimed at finding ways of effective learning. The use of interactive activities contributed to the growth of self-learning motivation and the building of a healthy mind capable of finding a way out for the advancement of educational reality when crises occurred. It has become impossible to do without mobile devices, because of the attractive features they have and the multiple advantages they provide in teaching mathematical, medical, and engineering sciences in universities of our study relied on comparing the most important educational platforms with the best operation for managing virtual classes and the auxiliary tools they contain, including adding materials, assignments, tests, and electronic attendance records with archiving classes and migrating students to the advanced stages, as it relied on the electronic administration mechanism. All of these procedures take place through the availability of the Internet.

Charismatic Leadership and Special Education Teachers’ Empowerment

<p>In general, leadership is strongly correlated with the empowerment of the followers’ personal vision as well as with the effectiveness of their work. On the top of that, the admiration derived of a group of people towards a leader, is a determine factor to characterize the leader as “charismatic – emotionally intelligent”. Consequently, final target along with the adopted strategies are the key points for successful leadership. This is how a high-leveled Job Satisfaction environment for the employees, can be secured, protecting them against Job Burnout syndrome. In Special Education, the consequences of Job Burnout seem to be profoundly serious concerning not only the teacher him/herself but also his/her work efficiency. It has been found that teachers, who face the Job Burnout are usually physically and mentally tired, depressed, and continually anxious, keeping themselves isolated and not easily accessible. This research aims to investigate the correlation between the school leader’s emotionally intelligence and the existence of supportive working environment, where the teacher is motivated, inspired and protected by the danger of Job Burnout.</p>

Image Deblurring using Wiener Filtering and Siamese Neural Network

Blurred images are difficult to avoid in situations when minor Atmospheric turbulence or camera movement results in low-quality images. We propose a system that takes a blurred image as input and produces a deblurred image by utilizing various filtering techniques. Additionally, we utilize the Siamese Network to match local image segments. A Siamese Neural Network model is used that is trained to account for image matching in the spatial domain. The best-matched image returned by the model is then further used for Signal-to-Noise ratio and Point Spread Function estimation. The Wiener filter is then used to deblur the image. Finally, the results of the deblurring techniques with existing algorithms are compared and it is shown that the error in deblurring an image using the techniques presented in this paper is considerably lesser than other techniques.