A quantitative analysis of the AI usage in students' learning performance

The research focuses on the impact of Artificial Intelligence in student learning in Government Post Graduate College Mardan. Surveys and inferential statistics analyzed data gained from 320 students selected randomly who took part in this quantitative research. Respondents rated AI usage as M = 3.89 (SD = 0.543) and its effectiveness scored M = 4.187 (SD = 0.121). Student engagement together with learning outcomes demonstrated positive outcomes according to participants with mean ratings of M = 3.656 (SD = 0.333) and M = 3.132 (SD = 0.231) respectively. Moreover, AI usage acts as a predictor of student engagement to the extent of 45.5% based on the regression analysis (R² = 0.455, p = 0.001) while also explaining 46.6% of perceived learning effectiveness (R² = 0.466, p = 0.005). The determination of learning outcomes variance reaches 51.3% (R² = 0.513, p = 0.004) yet other performance variables remain significant. This study concluded that most students are deficient in knowledge processes in applying AI tools efficiently due to not having undergone appropriate training concerning their application. While the supportive aspect of AI is useful to educational systems, but students still need to retain their basic ability in creativity and critical thinking.