Introduction: The twenty-first-century learning is adopting the student-centered learning techniques and the teach- ers are mainly facilitators to direct the process of learning and so social media and mobile applications became an important learning platform. Mobile learning (M-learning) is the practice of learning activities through a portable device such as cellular phone or a personal digital assistant. The aim of this research is to screen the medical stu- dents’ intention toward the adoption of M-learning and to determine factors affecting the intentions of the medical students to practice M-learning. Methods: A cross-sectional study among medical students was performed through a questionnaire based on the Theory of Reasoned Action and the Technology Acceptance Model. The study included 129 students in different stages of the medical study. Results: Results showed that the factors affecting the students’ inten¬tion to practice M-learning include the students’ attitude, perceived usefulness, perceived ease of use, and availability of resources. In the current sample 82.7% of students are already using M-Learning; 41.7% are using it for assessment, 22.8% are using it for learning and 35.5% are using it for both. Conclusion: It was concluded that most medical students have higher intention to adopt M-learning and they are mostly using it for assessment purposes rather than in learning.
Introduction: Cell phone is a device that has been used almost every day for all age groups. It connects everyone and everything around the world as it provides various social platforms. However, not many people realized that cell phone is a source of non-ionizing electromagnetic waves that can be associated with various physical effects. Therefore, the aim of this research is to identify the physical side effects associated with exposure to the electromagnetic waves emitted by cell phone use and to detect if these effects are associated with specific pattern of use. Methods: A cross-sectional study was conducted on 166 participants randomly selected from university students. Results: showed that those suffering side effects associated with cell phone usage are usually using more than one cell phone (79%) since about 5 – 10 years (41.9%) for more than 5 hours daily (65.7%) for entertainment (34.3%) and
making about 1-5 calls daily (41%) with average call duration 1 – 30 min (56.2%). 66.7% of them started using cell phone at age 7 – 12 years old, mostly handheld (61%), at their right side (40%), at all times of the day (64.8%). Most common side effects associated with cell phone usage include ear pain (52.4%), headache (79.5%), fatigue, anxiety or insomnia (57.8%), tremors and eye pain beside statistically significant (P
Coronaviruses were discovered in the mid-1960s then at 2002 in Foshan, China a new virus discovered to cause a Severe Acute Respiratory Syndrome (SARS-CoV) then at 2012 another strain was identified in Saudi Arabia causing the Middle East Respiratory Syndrome (MERS). In December 2019 in Wuhan, Hubei, SARS-CoV-2 (COVID-19) emerged to spread as pandemic. Being a series of the same family, the current research aimed to compare the characteristics of COVID-19 in relation to SARS and MERS regarding the origin and genomic structure, mode of transmission, distribution of cases along the world countries, infectivity and mortality rates together with the clinical presentation, diagnosis and treatment.
Introduction: Cigarette smoking is showing an increasing prevalence among university students nowadays. Smok- ing includes the act of smoking cigarette containing tobacco and/or other ingredients or just inhaling the cigarette smoke. Smoking has many known physical side effects that include psychological or cognitive effects. Therefore, the aim of this research is to identify the effect of cigarette smoking on the academic achievement among university students. Methods: A cross-sectional study was conducted among 136 students including 113 male and 23 fe- male aged 18 to 29 years from Management and Science University with 30 non smoker students. The question- naire included items about the social demographic characteristics, smoking status, the study styles and the aca- demic achievement of the participants. A frequency statistics, descriptive statistics and chi square test were used to analyze the collected data using SPSS version 25. Results: Among the smoker students, 51.5% came to class ear- ly, 80.8% attend classes regularly, 49.3% studied on weekends and 39.7% planned sufficient time to study for exam. Mean CGPA for smoker students is 2.6. Conclusion: Smoking is proven to be associated with low academic performance among university student.