Year: 2024
Type: article
Abstract: The integration of Artificial Intelligence (AI) into educational settings has garnered increasing attention for its potential to enhance personalized learning and improve student outcomes. This study investigates the impact of an AI-powered personalized learning tool implemented at colleges in Udaipur. Using a mixed-methods approach, we collected quantitative data through pre-test and post-test scores and qualitative feedback via surveys and interviews with students and teachers. The results revealed significant improvements in student performance and engagement, with the AI tool providing tailored learning experiences that addressed individual needs. Statistical analyses demonstrated a substantial positive effect on academic outcomes, while qualitative feedback highlighted the tool's usability and effectiveness in identifying students' weaknesses. The findings suggest that AI-powered personalized learning can be a valuable asset in education, offering recommendations for broader adoption and further research in this field.
DOI: 10.46632/rmc/5/3/14
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4403795007