Objective(s): The present study aims at identifying the Iraqi Colleges of Nursing Deans' leadership
behaviors effectiveness and faculty members' motivation towards work in these colleges.
Methodology: Descriptive design has been used for the sample survey manner, which is the
appropriate approach to the study of social phenomena in the field where provides data on the reality of
these phenomena and relations between the causes and consequences and an analysis of it and perhaps
the factors affecting it and how it appears. The study relies on a questionnaire to collect data from the
participants which is composed of (86) items distributed on three axes: First, the demographic
characteristics which are composed of (8) items, second, (40) items to measure motivation towards
work and the third (38) items to measure the effectiveness of the leadership behavior of the Deans of
the Colleges of Nursing. Content validity of the questionnaire is determined through panel of experts
who are asked to present their opinion about the content of the questionnaire. The stability has been
achieved through the use of reliability coefficients to determine the internal consistency of the
questionnaire. Data of the study are collected through field visits to the Iraqi Nursing Colleges and
personal interviews with respondents. The study population includes all Iraqi Colleges of Nursing at
the time of the study which are distributed through thirteen Governorates. The sample of the study
includes (66) subjects who are (55) faculty member and (11) Dean. The sample is purposive "nonprobability"
and selected based on the selection criteria to select professor and assistant professor. The
study data are analyzed through the descriptive data analysis approach (Frequencies and percentages)
and inferential data analysis approach (Chi-square test and Cronbach Alpha Correlation coefficient).
The results: The study findings indicate that variables of age groups and years of work have impact
upon the improvement of faculty members' motivation towards work in the Iraqi Colleges of Nursing.
Variables of Deans' age, gender, education, years of work as dean and training have no influence on the
leadership behavior of the Colleges of Nursing Deans.
Recommendations: The study recommends that we have to promote democratic style practiced by
leaders and present freedom and independence of the faculty member because of the stature in the
community. The study suggests that there should be an interest for leadership behavior with faculty
members, so they can be aware of the desired approaches toward achieving the objectives of the
university. The preparation of a proposed program to increase the activation of the performance of
faculty in Iraqi Colleges of Nursing and carrying out other studies concerned with this subject and the
work of preparing a proposal for the creation of democratic leader in the Iraqi Colleges of Nursing.
The 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
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The financial markets are one of the sectors whose data is characterized by continuous movement in most of the times and it is constantly changing, so it is difficult to predict its trends , and this leads to the need of methods , means and techniques for making decisions, and that pushes investors and analysts in the financial markets to use various and different methods in order to reach at predicting the movement of the direction of the financial markets. In order to reach the goal of making decisions in different investments, where the algorithm of the support vector machine and the CART regression tree algorithm are used to classify the stock data in order to determine
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