Impact of AI and Digital Skills Education on University Students' Knowledge and Attitudes toward Generative AI: A Descriptive Evaluation Study
Автор: Esra Alzaghoul, Abdelbaset Assaf, Tahani Al-Khatib, Rana Yousef
Журнал: International Journal of Modern Education and Computer Science @ijmecs
Статья в выпуске: 4 vol.18, 2026 года.
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The widespread use of Generative Artificial Intelligence tools among students across different educational levels is reshaping students’ attitude and education experience. They use it in various fields, including idea generation, writing assistance, and content creation. This study investigates the impact of the Modern Digital Skills course offered by the University of Jordan on students' digital literacy in Generative Artificial Intelligence. The study will employ a quantitative approach by conducting pre- and post-course surveys to measure changes in students' knowledge, skills, and attitudes across approximately 1,000 undergraduates from different majors at the university. Key variables include students' understanding of Generative Artificial Intelligence, their confidence in using Generative Artificial Intelligence tools, and their ability to critically evaluate AI-generated content and its ethical implications. The findings will determine whether the course significantly enhances students' knowledge, proficiency, critical thinking, and ethical awareness, while also exploring challenges and opportunities in integrating such a course into the academic curriculum. Ultimately, this study aims to provide insights for curriculum committees and decision-makers at universities in Jordan and the Middle East, emphasizing the importance of designing educational programs that foster essential Artificial Intelligence competencies and prepare students for a professional landscape increasingly shaped by Artificial Intelligence technologies.
Artificial Intelligence, Generative AI, Impact of AI, Digital Skills, Students’ Awareness, Higher Education, and Intelligent Software Tools
Короткий адрес: https://sciup.org/15020516
IDR: 15020516 | DOI: 10.5815/ijmecs.2026.04.06