Assessing artificial intelligence knowledge among Al-Zahraa university students: A cross-sectional study

Abstract

<ns3:p>Introduction University educators’ knowledge of artificial intelligence (AI) helps them to effectively utilize these latest technological resources, significantly raising the quality of the teaching and learning process. Objective to evaluate a sample of Al-Zahraa university students' level of AI knowledge. Method From 5August 2024 to 28November 2024, data from Al-Zahraa University for Women students was obtained through an online questionnaire in a cross-sectional survey study. Data was downloaded to an Excel file from Google Forms following it was gathered. The questionnaire's quantitative data was imported and analyzed. Results The total number of participants was 498 participants; however, 89 students refused to answer the questions, which reduced the sample size to 409. Most of the students (90%) reported to be familiar or somewhat familiar with Artificial Intelligence. More than one half of the From 5August 2024 to 28November 2024, data from Al-Zahraa University for Women students was obtained through an online questionnaire in a cross-sectional survey study. Most Al-Zahraa Medical School students got an anonymous online survey. Using a pre-validated, semi-structured questionnaire, 419 medical students in Al-Zahraa university for women engaged in a cross-sectional study.students (57.7%) know AI, whereas a smaller percentage (42.7%) reported to know AI medical application. only one quarter (25.7%) reported having knowledge about machine deep learning. one half (49%) of the students considered it as extremely important in the medical field. Conclusions The study discovered that while Al-Zahraa students understand artificial intelligence (AI) well, they know not much about deep learning, machine learning, and AI applications in radiology and pathology.</ns3:p>

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