Academic success of students as a predictor of attitude and perception of Artificial Intelligence (AI)
Session
Psychology
Description
In the context of this study, the research problem focuses on proving the relationship between academic success and attitude and perception of AI, as well as determining the predictive value of academic success and the set of predictors (degree of recognition and degree of use of AI) in the degree of manifestation of attitude and perception of AI, and at the end to determine that AI is not only an innovative technological-informatics concept but first of all a psychological one. The research belongs to the type of transversal exploratory studies. The sample in which the study was conducted is a convenience sample of 474 subjects, all university students. The instrument used for collecting, evaluating, and analyzing the structural components of the attitude and perception of AI is the scale for the assessment of the attitude and perception of AI (Osmani, Idrizi & Veseli, 2023). Academic success turned out to be the only predictor from the set of predictors with an explanatory predictive value of the criterion variable of 3.9%. The other two predictors: degree of recognition and degree of use of AI, were shown to have negligible predictive value in explaining AI. The type of private or public educational institution was also verified with negligible predictive value with only 0.1% contribution to explaining the variance of the criterion variable. Correlational analysis proved that academic success does not correlate with the attitude and perception of AI, although the negative correlation raises the need for interpretation.
Keywords:
Attitude, perception, Artificial Intelligence, regression model, predicto
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-15-3
Location
UBT Kampus, Lipjan
Start Date
25-10-2024 9:00 AM
End Date
27-10-2024 6:00 PM
DOI
10.33107/ubt-ic.2024.151
Recommended Citation
Osmani, Qufli and Beka, Delvina, "Academic success of students as a predictor of attitude and perception of Artificial Intelligence (AI)" (2024). UBT International Conference. 8.
https://knowledgecenter.ubt-uni.net/conference/2024UBTIC/PSY/8
Academic success of students as a predictor of attitude and perception of Artificial Intelligence (AI)
UBT Kampus, Lipjan
In the context of this study, the research problem focuses on proving the relationship between academic success and attitude and perception of AI, as well as determining the predictive value of academic success and the set of predictors (degree of recognition and degree of use of AI) in the degree of manifestation of attitude and perception of AI, and at the end to determine that AI is not only an innovative technological-informatics concept but first of all a psychological one. The research belongs to the type of transversal exploratory studies. The sample in which the study was conducted is a convenience sample of 474 subjects, all university students. The instrument used for collecting, evaluating, and analyzing the structural components of the attitude and perception of AI is the scale for the assessment of the attitude and perception of AI (Osmani, Idrizi & Veseli, 2023). Academic success turned out to be the only predictor from the set of predictors with an explanatory predictive value of the criterion variable of 3.9%. The other two predictors: degree of recognition and degree of use of AI, were shown to have negligible predictive value in explaining AI. The type of private or public educational institution was also verified with negligible predictive value with only 0.1% contribution to explaining the variance of the criterion variable. Correlational analysis proved that academic success does not correlate with the attitude and perception of AI, although the negative correlation raises the need for interpretation.