Understanding Artificial Intelligence’s educational consequences is vital for successful instructional tactics and student engagement as technology advances. By thoroughly examining AI’s effects on information accuracy, personal innovation, and pedagogical fit, the study seeks to close the gap between technology developments and educational practices. Additionally, to investigate how AI affects academic achievement and student engagement. The study, which uses a quantitative methodology and analyses data using SPSS & AMOS, covers 751 students utilizing AI-powered learning aids in various academic settings. A nuanced investigation of AI dimensions is made possible by analytical viewpoints and organized questionnaires. Major findings show that personal innovation, information accuracy, and pedagogical fit affect AI. Furthermore, AI has no discernible impact on students’ performance. This analysis suggests that AI intelligence technology enhances educational standards by equipping students with essential skills to navigate future challenges.
Paliwal et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: