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The present study came through its topic: The Importance of E-learning in teaching Mathematics to explore the use of students in the educational learning process, I tried to add to the results of previous studies by revealing more the nature of the use of the Internet as well as the nature of e-learning among students. The researcher attempted to add to the challenges of the previous studies in terms of human challenges related to the personal initiative of the school and university student to use the Internet as a means to embody e-learning in mathematics. As the human side has a fundamental role the realization of obstacles towards the introduction of educational technology in the educational process such as resistance to change and the establishment of all-new, including modern technology in the introduction of the educational process regardless of its benefits or its services. The researcher also referred in this study to some experiences in the Kingdom of Saudi Arabia and other countries in the field of e-learning to add value to this study and as a case that may interest other countries to follow.

Susceptible exposed infectious recovered (SEIR) is among the epidemiological models used in forecasting the spread of disease in large populations. SEIR is a fitting model for coronavirus disease (COVID-19) spread prediction. Somehow, in its original form, SEIR could not measure the impact of lockdowns. So, in the SEIR equations system utilized in this study, a variable was included to evaluate the impact of varying levels of social distance on the transmission of COVID-19. Additionally, we applied artificial intelligence utilizing the deep neural network machine learning (ML) technique. On the initial spread data for Saudi Arabia that were available up to June 25th, 2021, this improved SEIR model was used. The study shows possible infection to around 3.1 million persons without lockdown in Saudi Arabia at the peak of spread, which lasts for about 3 months beginning from the lockdown date (March 21st). On the other hand, the Kingdom's current partial lockdown policy was estimated to cut the estimated number of infections to 0.5 million over nine months. The data shows that stricter lockdowns may successfully flatten the COVID-19 graph curve in Saudi Arabia. We successfully predicted the COVID-19 epidemic's peaks and sizes using our modified deep neural network (DNN) and SEIR model. [ABSTRACT FROM AUTHOR]

Background: Collaborative interprofessional practice improves health outcomes. Interprofessional education (IPE) is essential in improving this collaboration and the quality of care. Although the majority of IPE research focuses on students, the delivery of IPE requires multiple levels of support within educational institutions, particularly teaching staff that are positive about and advocate for IPE. This study explored the attitudes of teaching staff towards interprofessional collaboration across a range of professions in Health at King Saud University, Saudi Arabia. Methods: A pre-test post-test design was used with 53 teaching staff from the Health Colleges, King Saud University, before and after an interprofessional development workshop. A 12-item, 3-subscale version of the IEPS was used to evaluate changes in the 3-subscales "competency and autonomy", "perceived need for cooperation" and "perception of actual cooperation". Results: This study involved teaching staff from medicine, nursing, pharmacy, dentistry, applied medical science and emergency medical services. Results showed positive attitudes towards IPE, including competency and autonomy, the need for cooperation, and the perception of actual cooperation. The analysis also showed a statistically significant effect of subscale 1 (competency and autonomy) was produced between the pre- and post-workshop training. Conclusion: Interprofessional collaboration across the Health Colleges is an essential component of IPE, just as IPE is an integral component of interprofessional collaborative practice. The findings provided a baseline, as well as an incentive, for further development in IPE, from policy through to practice, across the Health Colleges. Findings also showed teaching staff having a positive attitude towards interprofessional collaboration. Further research is needed on tools for measuring IPC across university hierarchies and disciplines, as well as on enablers of IPE (and not just barriers). [ABSTRACT FROM AUTHOR]