Impact of Artificial Intelligence in Students’ Learning Life

The impact of artificial intelligence (AI) in students’ learning is a topic of significant research importance due to its potential to transform education and enhance learning outcomes. Understanding the implications, benefits, and challenges associated with AI integration in student life is crucial for educators, policymakers, and researchers to make informed decisions and shape future educational practices. The research on the impact of AI on students’ learning holds several key significances like Educational Advancement, to identify how AI technologies can enhance teaching and learning processes. It provides insights into how personalized learning experiences, adaptive assessments, and AI-powered support systems can optimize educational practices, leading to improved student engagement, performance, and overall academic success Tailored learning experiences with the customization of educational experiences to individual student needs, preferences, and abilities. Research in this area helps educators understand the potential of AI to create personalized learning pathways, adapt instructional content, and provide real-time feedback, fostering self-directed learning and promoting student autonomy. Academic Support and Intervention with AI-powered academic support systems have the potential to identify students at risk and intervene proactively to improve student success rates. This research also aids in developing effective strategies and tools that can accurately identify academic challenges, provide timely interventions, and support students in overcoming difficulties, ultimately enhancing retention rates and graduation outcomes. SPSS provides a comprehensive set of tools and techniques for data management, data transformation, and statistical analysis. The impact of artificial intelligence (AI) in students’ learning is analysed using correlation and reliability analysis in this research.