The Impact of Artificial Intelligence on the Student Learning Experience: A Case Study of the Chuxiong Normal University

Abstract

         This study investigated the impact of artificial intelligence (AI) on student learning experiences at Chuxiong Normal University. The research methodology employed quantitative research techniques. A quantitative approach was employed, utilizing a structured online questionnaire to collect data from 372 students. Correlation analysis revealed significant positive relationships between student learning experiences and various factors related to AI in education, including the types of AI-driven tools used, the integration of AI into the learning experience, student engagement and motivation, and teacher workload and teaching efficiency. Regression analysis further confirmed these findings, indicating that these factors significantly predicted enhanced learning outcomes. Specifically, the study found that AI tools, such as personalized learning platforms and intelligent tutoring systems, positively influenced student learning by providing tailored support and promoting engagement. Furthermore, integrating AI into the educational environment positively impacted student learning, suggesting the importance of a holistic approach to AI implementation. These findings highlight the potential of AI to serve as a powerful tool for improving education. By carefully considering the types of AI tools used, ensuring effective integration into the curriculum, and fostering student engagement, educators can leverage AI to create more effective and engaging learning experiences that ultimately lead to better learning outcomes.