This study looks at how students' academic performance is affected by learning based on AI tools. This study examined how AI tools help students succeed academically. It also explored learners' views on the potential long-term influence of AI in strengthening their problem-solving skills. Quantitative survey data was collected using a standardized questionnaire. A random sample of 387 students was taken. The alternative hypothesis was supported by the correlation and regression analysis, which showed a moderately strong positive correlation between AIBL and academic performance (AP) (r = 0.532) and that AIBL also explains academic performance (AP) (r = 0.330). Overall, AI-based learning tools were reported to improve grades, increase student independence, enhance understanding, and contribute to long-term academic growth. As becomes clear, there is evidence that with education there has been a paradigm shift, and the quicker educational institutes get on the AI-based tools bandwagon, the better it is for students, who are now accustomed to the convenience of learning anytime, anywhere. It is recommended that universities adopt inclusive policies that ensure wider access to AI tools and provide training to students for their effective use in enhancing academic and problem-solving capacities.
Khan et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: