A5087719292- Impact of Technology on Adolescents
- Online and Blended Learning
- Knowledge Management and Sharing
- Spam and Phishing Detection
- Gender and Technology in Education
- Cybercrime and Law Enforcement Studies
- Advanced Malware Detection Techniques
- Brain Tumor Detection and Classification
- Innovative Teaching and Learning Methods
- Advanced Computing and Algorithms
- Web and Library Services
- Organizational and Employee Performance
University of Bisha
2022-2024
University of Glasgow
2019-2020
The current research examines the attitudes towards use of social media sites to support learning process among Master's in Educational Technologies students at University Bisha Kingdom Saudi Arabia, including perceptions educational benefits as well disadvantages and barriers. Forty two participated this study completed a web-based survey. findings revealed largely positive attitude toward usage classroom, attributing it many advantages, such increasing quality efficiency communication...
Website defacement is the illegal electronic act of changing a website. In this paper, capabilities robust machine learning classifiers are exploited to select best input feature set for evaluation website’s risk. A mining data was obtained from Zone-H, private organization, and sample consisting 93,644 points pre-processed used modelling purposes. Using multi-dimensional features as input, enormous computations were carried out determine optimal outputs, in terms performance. Reason...
This paper tried to investigate the current situation of using social media as tools for e-learning support learning at an emerging university in south Saudi Arabia.It also examined benefits higher education and important role that these can play facilitate educational process.Additionally, barriers lecturers could face during use process were examined.Participants this study 10 lecturers.Semi-structured interviews used collect data study.The results indicated some interviewees had very...
The purpose of this study was to examine the perceptions Saudi students regarding advantages using social media tools at an emerging university in south Arabia support their learning and important role that these can play facilitate educational process. Another is barriers could face during use process were examined. Semi-structured interviews conducted with 5 male female from college education collect data for study. current found all interviewees had very positive towards as e-learning...
This paper examines the perspectives of female's students at a new university in Saudi Arabia to use social media as e-learning tools support their learning. It also aims investigate current usage these and benefits behind using for Another aim this study is examine difficulties that females' face when they learning process. The participants comprised 23 surveyed was used collect data study. results indicate female are opinions largely coincide regarding barriers usage. recommends future...
This paper examined the perception of using social media tools to support learning among Ph.D. Saudi students at University Glasgow. It also benefits for and important role that these can play facilitate educational process. Moreover, it barriers they could face during use in education Participants this study were 3 Semi-structured interviews used collect data study. The results indicate students, both male female, are their opinions largely coincide regarding usage. pointed out major a...
ABSTRACT Background: This paper focuses on the usage of e-learning modalities and effect those academic performance. will reveal if it is beneficial to implement in medical curricula context colleges/universities. Highlighting importance utilizing different teaching learning contribute improvement performance students. Methods: The study design cross sectional was conducted online by distributing a questionnaire six universities. required sample size 352 No probability quota sampling...
Website defacement is an illegal electronic act of changing a website. In this paper, robust machine learning classifiers’ capabilities were exploited to select the best input feature set for evaluating website’s risk. Zone-H, private organization, offered us mining dataset. A sample 93644 datapoints was concisely pre-processed and used modelling purposes. Considering multidimensional features as input, reason hackmode variables chosen outputs. Massive models examined;...