2026· International journal of research and innovation in social science· Vol 10, pp. 6099-6110· 0 citations
TL;DR
A balanced educational ecosystem is crucial to optimize AI innovation while maintaining academic integrity and the well-being of gifted students.
Abstract
This cross-sectional study explores the perceptions and interactions of gifted students regarding Artificial Intelligence (AI) applications in learning. Through purposive sampling, 60 students from Kolej PERMATA@Pintar Negara, UKM were involved to evaluate their level of understanding, practical skills, and the relationship between the two. The analysis revealed that the students' understanding of AI is high (M = 3.88), while their practical skills are at a moderate level (M = 3.42). A Pearson Correlation analysis indicated a significant positive relationship between AI knowledge and application skills (r = 0.391, p < 0.05). Additionally, ANOVA testing confirmed a significant difference in AI application skills based on the students' programming proficiency levels. In conclusion, a balanced educational ecosystem is crucial to optimize AI innovation while maintaining academic integrity and the well-being of gifted students.
A preliminary strategic roadmap for institutional governance, including formal AI literacy training, faculty development, and assessment redesign is proposed to prevent the erosion of intellectual agency amidst technological progress.
Abdulmalik Ahmed Moohialdin Alsarori, Nathem Saeed Ahmed Alhaddad, Mogeeb A. A. Mosleh· Journal of Science & Technol...· 0 citations
The findings revealed a general agreement among students regarding the positive role of AI in enhancing learning experiences, increasing assignment efficiency, and developing skills relevant to future careers, however, lower mean scores in areas such as reliance on AI for research and collaboration suggest a need for f...
J. L. Galang, A. T. Capinding, Rosalie A. Pineda· TEM Journal· 0 citations
Engagement with AI differed according by academic year and discipline, with higher involvement among early-year and engineering students, while infrastructural and institutional barriers restricted wider adoption.
High overall technology acceptance is demonstrated, driven primarily by prior AI training and graduate-level studies, which revial a crucial gap between student enthusiasm and institutional preparation, offering an empirical foundation for modernizing journalism curricula in transitional media environments.
Dali Osepashvili· Studies in Media and Communi...· 0 citations
The findings revealed that undergraduate students had a positive attitude towards the use of Artificial Intelligence in education and a statistically significant difference was found between Arts and Science students with Science students demonstrating a more positive attitude than Arts students.
Abinash Neog· International Journal For Mu...· 0 citations
The rapid evolution of artificial intelligence (AI), particularly generative AI, is reshaping engineering education. This study, part of a broader investigation into stakeholder perceptions of generative AI in engineering education, examines engineering students’ experiences with generative AI, focusing on their percep...
