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Postgraduate Studies

Sunday, April 30, 2023
Defense A Ph.D. Dissertation by Huda Salameh in Educational Administration

Huda Salameh, a researcher in the Educational Administration program, defended her dissertation entitled: "A proposed Vision for the Development of Emotional Administrative Practices among the Employees of the Palestinian Ministry of Education" to obtain the Ph.D. in Educational Administration.

The study aimed to develop a vision for the development of administrative practices that stir emotions among the employees of the Palestinian Ministry of Education. It also aimed to determine the nature of the differences in the averages of their responses to the total score on the questionnaire about the reality of emotional administrative practices.

Friday, April 28, 2023
Defense of A Ph.D. Dissertation by Bushra Al-Badawi in Educational Administration

Bushra Al-Badawi, a Ph.D. candidate in Educational Administration, defended her dissertation entitled: "An Analytical Study of the Palestinian Inclusive Education Policy and its Applications: Towards Developing a Proposed Concept in the Light of International and Local Standards."

The study aimed to attest the implementation of the inclusive education policy in the Palestinian governorates, in addition to examining the applied educational policy for inclusive education in Palestine as well as the international standards for inclusive education. The researcher sought to develop a proposed model for inclusive education in the Palestinian society to be applied in Palestinian schools to raise awareness of the needs of inclusive education in Palestine.

Friday, April 28, 2023
M.A. Thesis Predicting Electrical Loads Using Machine Learning Algorithms

Mubarak Abu Mohsen, a researcher in the Master's program in Data Science and Business analysis, published a research paper titled "Predicting Electrical Loads Using Machine Learning Algorithms for Energy System in Palestine" in the Q1-rated journal (Energies).

The student has previously defended his thesis, which is the first in its field in Palestine, where it aimed to build an accurate, reliable model for predicting electrical loads using deep learning algorithms (LSTM, GRU and RNN), based on factual data obtained from the Tubas Electricity Company.

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