Measuring Quality of E-Learning and Desaire2Learn in the College of Science and Humanities at Alghat, Majmaah University
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 1
Abstract
E-learning and Desaire2Learn (D2L) system were used in several higher education institutions; the learning satisfaction depends on the quality of the system applied to serve this issue and its importance in users mind. Therefore, this study, intended to explore the degree of students and Satisfaction of faculty members with the importance and quality of e-learning used and D2L system as a tool for learning some courses. We took a sample of 57 faculty members and 135 students participated in this study. We used two questionnaires as a tool to collect data from participants, one for faculty members and the other for students; both of these questionnaires had the same idea with different questions. We implemented Statistical Package for Social Science (SPSS) to analyze data. The results show that the Satisfaction of faculty members is high with the quality of e-learning and D2L system as a method of teaching, moderate satisfaction with using D2L tools, the result shows there was a positive relationship between e-learning quality and using D2L tools in teaching. But the result record high satisfaction from students towards the quality of e-learning; the D2L system as a method of learning and the result shows there was no statistically significant effect of gender on the D2L system quality. Finally, the study discussed the implications and recommendations of the work.
Authors and Affiliations
Abdelmoneim Ali Mohamed, Faisal Mohammed Nafie
Development of Interactive Ophthalmology Hologram
Ophthalmology is one of the medical branches that deal with the eye. This field is associated with the anatomy, physiology and diseases of the eye. The main objective of this paper is to develop a novel interactive simul...
Efficient MRI Segmentation and Detection of Brain Tumor using Convolutional Neural Network
Brain tumor is one of the most life-threatening diseases at its advance stages. Hence, detection at early stages is very crucial in treatment for improvement of the life expectancy of the patients. magnetic resonance ima...
LSSCW: A Lightweight Security Scheme for Cluster based Wireless Sensor Network
In last two decades, Wireless Sensor Network (WSN) is used for large number of Internet of Things (IoT) applications, such as military surveillance, forest fire detection, healthcare, precision agriculture and smart home...
A Hybrid Intelligent Model for Enhancing Healthcare Services on Cloud Environment
Cloud computing plays a major role in addressing the challenges of healthcare services such as diagnosis of diseases, telemedicine, maximize utilization of medical resources, etc. Early detection of chronic kidney diseas...
Data Provenance for Cloud Computing using Watermark
The term data is new oil which has become a proverb due to large amount of data generation from various sources. Processing and storing such tremendous amount of data is beyond the capabilities of traditional computing s...