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Learning for Scientific Culture by Using Interactive Whiteboard According to the Faculty of the University of Baghdad Viewpoint
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The progress of science in all its branches and levels made great civilized changes of
our societies in the present day, it's a result of the huge amount of knowledge, the increase of
number of students, and the increase of community awareness proportion of the importance of
education in schools and universities, it became necessary for us as educators to look at
science from another point of view based on the idea of scientific development of curricula
and teaching methods and means of education, and for the studying class environment as a
whole, by computer and internet use in education to the emergence of the term education
technology, which relies on the use of modern technology to provide educational content to
the learner in a manner appropriate and effective at the same time. "Interactive whiteboard" is
one of the new educational technology means; it is a flat screen delicate texture, works in
conjunction with computers and a data projector "Data Show" and converts it into an effective
tool for education.
This study aimed to identify the faculty members viewpoint about the use of
interactive (Smart) whiteboard. The study sample consisted of 200 of teaching staff of the
College of Education for Women and the College of Science for Women at the University of
Baghdad, the researchers used measure of attitudes towards the use of the blackboard and
relied on the recurrence and percentages as a statistical treatment.
The study results showed the following:

1. There was approval towards the use of smart board. Responses and that the teachers
experienced 5 years towards the use of smart board more than responses of the teachers
experienced from 6-10 years.
2. There was no difference in the responses of the sample towards the use of smart board
attributed to age.

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Publication Date
Tue Jan 01 2013
Journal Name
Baghdad: Al-farahihdi Publishing House
Studies in Translation and Culture
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Publication Date
Mon Jun 01 2020
Journal Name
Journal Of Engineering
Arabic Sentiment Analysis (ASA) Using Deep Learning Approach
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Sentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic researches to address sentiment analysis problems. Deep Learning (DL) is a powerful Machine Learning (ML) technique that has emerged with its ability of feature representation and differentiating data, leading to state-of-the-art prediction results. In recent years, DL has been widely used in sentiment analysis, however, there is scarce in its implementation in the Arabic language field. Most of the previous researches address other l

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Publication Date
Wed Jun 01 2011
Journal Name
Journal Of Al-nahrain University Science
Breaking Knapsack Cipher Using Population Based Incremental Learning
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Publication Date
Mon Jan 01 2024
Journal Name
Journal Of Engineering
Face-based Gender Classification Using Deep Learning Model
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Gender classification is a critical task in computer vision. This task holds substantial importance in various domains, including surveillance, marketing, and human-computer interaction. In this work, the face gender classification model proposed consists of three main phases: the first phase involves applying the Viola-Jones algorithm to detect facial images, which includes four steps: 1) Haar-like features, 2) Integral Image, 3) Adaboost Learning, and 4) Cascade Classifier. In the second phase, four pre-processing operations are employed, namely cropping, resizing, converting the image from(RGB) Color Space to (LAB) color space, and enhancing the images using (HE, CLAHE). The final phase involves utilizing Transfer lea

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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Engineering
Iraqi Sentiment and Emotion Analysis Using Deep Learning
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Analyzing sentiment and emotions in Arabic texts on social networking sites has gained wide interest from researchers. It has been an active research topic in recent years due to its importance in analyzing reviewers' opinions. The Iraqi dialect is one of the Arabic dialects used in social networking sites, characterized by its complexity and, therefore, the difficulty of analyzing sentiment. This work presents a hybrid deep learning model consisting of a Convolution Neural Network (CNN) and the Gated Recurrent Units (GRU) to analyze sentiment and emotions in Iraqi texts. Three Iraqi datasets (Iraqi Arab Emotions Data Set (IAEDS), Annotated Corpus of Mesopotamian-Iraqi Dialect (ACMID), and Iraqi Arabic Dataset (IAD)) col

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Publication Date
Tue May 07 2019
Journal Name
Journal Of Planner And Development
the role of the economy in protecting the environment from pollution and decision_making
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The economic dimensions of environmental issues are complex and unclear in many cases, there is a kind of confusion in the real relationship between economic growth and environmental regulations. Many of the negative environmental impacts are accompanied by human activities and urban and industrial development in the city, and that many of the projects that did not take into account the environmental factors during the planning and implementation of them can be detrimental, as well as natural environments, archeological sites, historical or scientific value, aesthetic or educational. It also describes the Global Environment Outlook that if current trends continue, population growth, economic growth and consumption patterns, the p

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Publication Date
Thu Jun 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
The Effect of the Corona Pandemic (covid-19) on the Quality of the Auditor’s Reporting by Application to Iraqi Economic Units
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Abstract:

     The research aims to shed light on the Corona pandemic and its repercussions on the global economy in general, and on the activities of Iraqi economic units in particular. It also aims to show the impact of the auditor’s reporting on the effects of the Corona pandemic on economic units and its reflection on the quality of his reporting. To achieve the objectives of the research, the researcher prepared a questionnaire according to the five-point Likert scale and took into account in its preparation compatibility with the characteristics of the study community, and that the target community for this questionnaire are the economic units listed in the Iraq Stock Exchange that have complet

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Publication Date
Sat Feb 21 2026
Journal Name
Journal Of Economics And Administrative Sciences
The role of leadership skills in organizational trust Analytical research center in the Ministry of Higher Education and Scientific Research, Iraq
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Publication Date
Mon Feb 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
The role of leadership skills in organizational trust Analytical research center in the Ministry of Higher Education and Scientific Research, Iraq
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Formed leadership skills and organizational trust Based on intellectual that underpinned the current research, as represented leadership skills variable interpretative represented in organizational trust-response variable.

The research aims to test the relationship and the impact of leadership skills dimensions in organizational trust dimensions for the purpose of achieving its objectives were formulated hypotheses main relate to test the effect and the relationship between the variables of research for the purpose of testing those hypotheses applied research on a sample of heads of departments and officials of the people at the center of the Ministry of Higher Education and Scientific Research, where th

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Publication Date
Tue Apr 11 2023
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
The role of digital content systems used in managing Arab academic scientific journals: An analytical study
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