Effects Of Artificial Intelligence (Ai) On Students’ Academic Development And Creative Learning

Abstract

This study primarily aimed to examine the effects of Artificial Intelligence (AI) on students' academic development and creative learning. The population of this particular research study was comprised of all the registered students of Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa (KP), Pakistan. Gomal University comprised of more than 10000 students, so it's quite difficult for the researcher to contact the whole population; therefore, to overcome this problem, the researcher selected 344 students as the Sample of the study by using available sampling techniques. For the collection of data, the researcher developed a Likert-type scale, which underwent the process of validity and reliability. The developed questionnaire was personally served by the researcher among the respondents and collected back after being filled out by the respondents. The collected data were processed through the statistical package for social sciences (SPSS, version 26), and thus, appropriate statistical tools were applied. Findings of the study indicate there is a strong positive relationship between AI and academic development (r = 0.687, p < 0.01) as well as creative learning (r = 0.607, p < 0.01). Nevertheless, regression analysis still offered a subtler image that AI was a statistically significant predictor of academic development (b = 0.321, p < 0.001), explaining its 57.7 percent variance (R2 = 0.577), and the ANOVA confirming the strength of the model (F = 231.665, p < 0.001). On the other hand, creative learning did not respond to AI in a significant way (b = 0.089, p = 0.095). Based on findings, the researcher concluded that AI demonstrates a profound and significant capacity to enhance academic development, functioning as a powerful engine for personalized learning and knowledge acquisition.