137 research outputs found

    Dynamics and Stability Analysis of a Lander Considering Large Amplitude Propellant Sloshing

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    学位の種別: 修士University of Tokyo(東京大学

    Attitudes of Governmental-School Managers Towards Employing Blended Education in Developing Multiple Intelligences among School Students in English Language in Karak Governorate

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    The current study aimed to identify the attitudes of governmental-school managers towards employing blended education in the development of multiple intelligences among school students in the English language subject in Karak Governorate. The results of the study showed that the attitudes of government school principals towards the use of blended education in the development of multiple intelligences were high, and that all obstacles related to obstacles in the infrastructure, funding, obstacles related to teachers’ beliefs, obstacles related to the nature of curricula and obstacles related to the traditional form of content. It also revealed the existence of statistically significant differences (a = 0.05) between those whose experience was less than five years on the one hand and between ten and five years on the other hand, and the differences came in favor of less than ten years, and the study recommended the need to develop training programs and workshops for principals and teachers. To develop their technological skills to face obstacles to the employment of blended learning, and the necessity of producing electronic content to facilitate the integration process Technology in education. Keywords: blended learning, multiple intelligences, attitudes DOI: 10.7176/JEP/13-19-12 Publication date:June 30th 202

    The Level of Advanced Digital Leadership Practice Among Public School Principals in Karak Governorate from the Point of View of the Teachers Themselves

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    The current study aimed to identify the level of advanced digital leadership practice among public school principals in Karak Governorate from the point of view of the teachers themselves, and to detect differences in the level of digital leadership practice among public school principals according to the variables of gender, experience and educational qualification. The study used the descriptive analytical approach. A questionnaire was developed to measure the level of digital leadership practice among school principals, its validity and reliability indicators were verified, and the study sample consisted of (365) male and female teachers who were randomly selected. Teachers were average, and it was found that there were statistically significant differences in the level of digital leadership practice among public school principals in Karak governorate from the teachers’ point of view due to gender and in favor of females, as well as the presence of differences attributed to experience and in favor of those with higher experience, while the results showed that there were no differences due to educational qualification The study recommended that there should be efforts and measures that should be taken by the Ministry of Education, directorates and schools to develop the level of school principals' practice of digital leadership, such as providing the necessary training and qualification for principals and teachers on the use of technology in education, and providing the necessary resources to improve the digital infrastructure in the school. Which requires the integration of the efforts of the administration, teachers, students and parents to improve the level of digital leadership in schools. Keywords: advanced digital leadership, school principals, public schools DOI: 10.7176/JEP/14-14-04 Publication date:May 31st 202

    A hybrid deep learning approach towards building an intelligent system for pneumonia detection in chest X-ray images

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    Pneumonia is a major cause for the death of children. In order to overcome the subjectivity and time consumption of the traditional detection of pneumonia from chest X-ray images; this work hypothesized that a hybrid deep learning system that consists of a convolutional neural network (CNN) model with another type of classifiers will improve the performance of the detection system. Three types of classifiers (support vector machine (SVM), k-nearest neighbor (KNN), and random forest (RF) were used along with the traditional CNN classification system (Softmax) to automatically detect pneumonia from chest X-ray images. The performance of the hybrid systems was comparable to that of the traditional CNN model with Softmax in terms of accuracy, precision, and specificity; except for the RF hybrid system which had less performance than the others. On the other hand, KNN hybrid system had the best consumption time, followed by the SVM, Softmax, and lastly the RF system. However, this improvement in consumption time (up to 4 folds) was in the expense of the sensitivity. A new hybrid artificial intelligence methodology for pneumonia detection has been implemented using small-sized chest X-ray images. The novel system achieved a very efficient performance with a short classification consumption time

    The Influence of E-Marketing Mix Strategy on Organizational Performance: An Empirical Analysis of Jordanian Smes

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    Purpose: The purpose of this empirical research article is to investigate the association between e-marketing mix strategy (EMMS) and organizational performance (OP) in Jordanian SMEs.   Theoretical framework: The study used a quantitative research methodology to explore the impact of EMMS factors on OP indicators, such as product development, pricing strategies, promotional activities, and online distribution channels.   Design/methodology/approach: The study's data is gathered using a survey questionnaire issued to 250 Jordanian SMEs. The dependent variables include OP indicators such as financial performance, customer happiness, market share, and innovation, whereas the independent variables are EMMS factors. Control factors including business size, firm age, and industry type are also taken into account. To evaluate the hypothesized correlations, the obtained data is analyzed using the PLS-SEM (PLS 4.0) technique.   Findings: The results of this study show that in the Jordanian context, all e-marketing techniques, including product development, price strategies, promotional activities, and online distribution channels, have a significant positive impact on OP metrics   Research implications: The findings of this study demonstrate the value of e-marketing and the necessity of sound e-marketing tactics for fostering the expansion and competitiveness of SMEs in the digital era.   Practical and social implications: The study underscores the significance of implementing e-marketing strategies for SMEs in Jordan, as they contribute to enhancing OP. Policymakers can utilize these findings to develop supportive measures for SMEs, while practitioners can gain insights into the value of e-marketing strategies in achieving growth and competitiveness.   Originality/value: This study adds to the current literature by investigating the association between EMMS and OP in Jordanian SMEs. The study adds to the field's knowledge base by providing empirical evidence and insights on the impact of various e-marketing methods on OP measures
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