Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every year. The cancerous tumor appears in the neck, oral glands, face, and mouth. To overcome this dangerous cancer, there are many ways to detect like a biopsy, in which small chunks of tissues are taken from the mouth and tested under a secure and hygienic microscope. However, microscope results of tissues to detect oral cancer are not up to the mark, a microscope cannot easily identify the cancerous cells and normal cells. Detection of cancerous cells using microscopic biopsy images helps in allaying and predicting the issues and gives better results if biologically approaches apply accurately for the prediction of cancerous cells, but during the physical examinations microscopic biopsy images for cancer detection there are major chances for human error and mistake. So, with the development of technology deep learning algorithms plays a major role in medical image diagnosing. Deep learning algorithms are efficiently developed to predict breast cancer, oral cancer, lung cancer, or any other type of medical image. In this study, the proposed model of transfer learning model using AlexNet in the convolutional neural network to extract rank features from oral squamous cell carcinoma (OSCC) biopsy images to train the model. Simulation results have shown that the proposed model achieved higher classification accuracy 97.66% and 90.06% of training and testing, respectively.

Following the outbreak of the novel coronavirus (COVID-19) in China in late December 2019, more than 217 countries became almost immediately infected in the resulting pandemic. Consequently, many of them decided to close their educational institutions as a way of preventing the spread of this virus. For many of them, though, the closure made them unable to deliver learning materials to students owing to their inability to provide the right technology for the purpose. To assist with the digitalizing of learning during this time, this study reviews the most common technologies used in the delivery of learning materials, with the experience of most infected countries being considered. Major challenges in online learning are discussed in this study as well. Further, Saudi Arabia was considered as a case study for the effectiveness of distance learning during the 2020 spring semester, where 300 undergraduate students were surveyed on their opinions of distance learning. The responses to the survey indicated that distance learning was effective in providing the required knowledge to the students during the outbreak of COVID-19. The findings showed that although the lack of interaction and poor internet connections were factors affecting comfortable and successful learning of physics and mathematics, 63% of students were satisfied with learning management systems, 75% of students found it easy to understand course materials, and 67% of students found it easy to understand assignments and could deal with them comfortably. The study findings can encourage educational institutions to digitalize their learning materials in the future.

Aim/Purpose: Edmodo is a free and secure social learning network for teachers, students, and parents. This research aims to investigate the impact of using the Edmodo network among the students at Imam Abdulrahman bin Faisal University and students’ attitudes toward it. Background: The creators of e-learning systems have recently taken remarkable strides, including the development of a full range of techniques and means of communication. Social networks encourage collaborative work and thus have huge potential to increase information sharing among users, which makes these networks especially useful in academic and higher-education systems. Edmodo network is one of the main choices to be adopted in education process. Methodology: This research has an experimental design based on a set of online tests. It also includes the development of a scale to determine students’ attitudes toward Edmodo Contribution: There is a lack of studies on the adoption of Edmodo within higher education. This research is an investigation of the impact that using Edmodo had on students at Imam Abdulrahman bin Faisal University. Findings: The findings of this research show that using Edmodo leads to a statistically significant improvement in learning skills among higher-education students. The results also illustrate that students have positive attitudes toward the use of Edmodo in their courses. Recommendations for Practitioners: Adopting Edmodo within their teaching model. Recommendation for Researchers: More investigation on this topic with a larger number of participants is recommended. Impact on Society: This investigation provides society with better understanding of adopting Edmodo within higher education. Future Research: Further work should include investigations of this topic that include a larger number of participants with more diverse backgrounds. The challenges of using Edmodo also need to be investigated in further studies.

Modern information and communication technologies affect all areas of life significantly, including education and learning. Cloud storage tools are one of the forms of modern information technologies that are employed to serve the educational process. The current research aims to study the use of Google cloud applications (Google Classroom, Google Plus and Google Drive) in education and to determine the most appropriate web-based training environment in view of the level of usability. The experimental method was applied in this study using a sample of 200 students from Imam Abdul Rahman bin Faisal University. The current research found that there was some convergence in the usability of the three environments. Based on the results of the study, it was found that the environment of Google Classroom has the highest usability value (86.45), and also showed statistically significant differences in scholastic achievement in the application the service of Google Classroom in the educational process.

The present study aims to design an e-book based on Web 2.0 applications: Wiki editors, Video casting and Rich Site Summary (RSS). It identifies the criteria for the proposed e-book and its impact on developing the skills of designing and utilizing Cloud Data. The sample consisted of (60) students divided into two groups: the control group (25) and the experimental group (25), and (10) students for pilot study. The results identified the principles for designing an e-book based on Web 2.0 applications. There were statistically significant differences at the level of (0.05) between the mean scores of the participants in the pre-and post-test for the skill performance observation card. There were statistically significant differences at (0.05) between the mean scores of the participants in the pre-and post-cognitive skills test. The results also indicated that the e-book based on Web 2.0 applications effectively achieved more than (1.2%) gain ratio.