International Journal of Artificial Intelligence and Education Technology

The current system inside Egyptian universities s relies on the minimum and traditional methods of securing data that do not keep pace with the current digital development. Therefore, the education sector needs to take advantage of the advantages of block chain technology in securing and encrypting data from the risks of hacking and leakage of records. Through the above, an electronic system for generating a data encryption key based on block chain technology and the AES algorithm has been proposed.

The coronavirus has become a global crisis in recent months. The virus has disrupted or shut down many social, economic, sports, scientific, etc. activities. In addition to the medical importance of this Disease, its rapid and accurate diagnosis is an important need. In this study, we proposed a novel method to detect coronavirus using machine learning and classification algorithms based on lung images. In general, the method consists of two steps. At the first step, a convolutional neural network is trained with a data set of lung images that determine whether a viral infection exists or not. In the second step, another network is used to detect if the existence of viral infection is considered coronavirus or not. Experimental tests have been conducted that show the correct diagnosis can be made with 95.8%.

The aim of the current research is to develop the skills of stereoscopic learning elements among graduate students. This research belongs to the category of development research that uses some descriptive studies methods (descriptive survey, systems development) in the phase of study, analysis, design and experimental approach when measuring the impact of the independent variable of research on the dependent variable. In the evaluation stage, then applying the research tools (achievement test - note card - product evaluation card) before and after on an intentional sample of (30) graduate students - full-time diploma - Mansoura University, they were divided into two experimental groups, each group (15) students , The first experimental group uses the linear sailing pattern, and the second experimental group uses the grid pattern, and the training was conducted in a three-dimensional learning environment, and the research results concluded that the grid sailing pattern is the most influential pattern on the production of stereoscopic learning elements.