The Influence of AI Knowledge on the Vocational Inclinations of Gifted Students
Keywords:
Artificial intelligence; Gifted students; Vocational inclinationsAbstract
This study examines the impact of AI knowledge on the vocational inclinations of gifted students. Gifted students face challenges making career decisions due to their wide range of interests and unique cognitive abilities. This study employs a descriptive correlational approach utilizing a cross-sectional study to investigate how artificial intelligence influences career preferences among 363 gifted students, aged 16-18 years from Jubilee Schools in Amman, Jordan. Additionally, the study used a vocational inclination scale and the AI scale. Pearson's coefficient was used to confirm the validity of the construct and Cronbach's Alpha for reliability. The results showed that gifted students had an average level of AI knowledge, with a mean of (3.52) with strengths in critical evaluation but a lower level of proficiency in technical aspects. The results indicate the social pattern was prevalent among gifted students, constituting the highest percentage of all patterns at 41.3% followed by investigative, practical, and artistic careers. There are obvious differences between the sexes, with males favouring technical and investigative careers, while parental occupation does not appear to play a significant role. The findings of this study indicate that AI knowledge is a significant predictor of career inclinations; AI had a higher predictive ability in the investigative field among gifted students, with a percentage of 24%, with an effect size of 32%. this study recommends enhancing AI literacy in education by integrating AI concepts and making AI tools available in the classroom environment and teaching digital skills to help students identify their future career paths.
https://doi.org/10.26803/ijlter.24.8.9
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