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Helmy Mohamed Helmy ElFiel

Abstract

This research aimed to assess the level of security and ethical concerns associated with the integration of artificial intelligence (AI) in educational settings, as well as the attitudes towards its applications among university students. Furthermore, it sought to explore the relationship between these factors and identify any variations in security and ethical concerns and attitudes toward AI applications based on gender, field of study, and academic level. The study adopted a descriptive methodology, utilizing a random sample of 1134 students from Alexandria University.
To measure security and ethical concerns, as well as attitudes toward AI applications, the researcher employed standardized scales. Data analysis involved the use of averages, percentages, one-sample T-tests, Pearson correlation coefficients, and One-way ANOVA.
The findings revealed an average level of security and ethical concerns, contrasted with a high level of positive attitudes towards AI applications. Moreover, a statistically significant negative correlation was observed between security and ethical concerns and attitudes towards AI. Interestingly, no significant differences were detected in security and ethical concerns or attitudes based on gender, field of study, or academic level.
These results were contextualized and interpreted within the framework of existing literature and theoretical perspectives. In light of these findings, several recommendations were proposed. These include identifying and nurturing talented students with an interest in AI, providing relevant training and resources, and encouraging their involvement in the development of AI tools and systems at the local level. Such initiatives could not only enhance student engagement and learning outcomes but also contribute to shaping the future landscape of AI innovation and implementation..

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Original Article
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