A5039283131- Artificial Intelligence in Healthcare and Education
- Innovations in Medical Education
- Education and Critical Thinking Development
- Gene expression and cancer classification
- Artificial Intelligence in Healthcare
- Impact of Technology on Adolescents
- Mobile Learning in Education
- Online Learning and Analytics
- AI in cancer detection
- Technology Adoption and User Behaviour
Imam Abdulrahman Bin Faisal University
2019-2024
King Fahd University of Petroleum and Minerals
2022
Study purpose: This study aims to assess the effectiveness of ChatGPT in critical thinking skills among medical students. Methods: cross-sectional survey recruited 392 students from three public universities Saudi Arabia. Participants completed an online questionnaire assessing perceptions ChatGPT's impact on skills. Data were analyzed using SPSS, employing descriptive statistics, t-tests, analysis variance, and Cronbach's alpha evaluate reliability. Results: Significant gender-based...
Purpose: This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. Methods: cross-sectional survey recruited 386 students from three public universities Saudi Arabia. Participants completed an online questionnaire designed perceptions ChatGPT's learning. The included Likert scale questions evaluate various aspects support learning, such as personalized language and communication skills, interactive quizzing. Data were analyzed using SPSS, employing...
With the rapid advance in internet, mobile information systems have turned into a promised sector within universal and communication technology. Saudi ministry of higher education exerts effort to integrate IS technology learning especially with vision 2030 toward knowledge investment. However, it has been observed that researches overlook investigation gender differences continuous adoption M-learning. This study aims examine effect on student's perceptions evaluations M-learning systems. A...
Breast cancer appears to be a common type of suffered by women globally, with considered high death rates. The survival rate breast patients decreases considerably for diagnosed at an advanced stage compared those early stage. objective this study is investigate classification and diagnosis task using the data from WBCD dataset. In our methodology, first, was scaled. Then, four features selection methods were used analyze features. Pearson's Correlation method, Forward Selection Mutual...