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Implementing Artificial Intelligence (AI) as a Tool in 6th-to-12th-Grade Classrooms in Urban Schools (Poster 26)
Wed, April 23, 2:30 to 4:00pm MDT (2:30 to 4:00pm MDT), The Colorado Convention Center, Floor: Exhibit Hall Level, Exhibit Hall F - Poster SessionAbstract
Introduction
Guided by technology-mediated learning theory, this study explores the application and impact of AI in urban primary schools, aiming to understand the barriers, benefits, and feasibility of integration.
Methods
Secondary data was analyzed through quantitative methods to examine educational outcomes in Texas.
Results
A bivariate correlation analysis revealed a significant correlation (P < .001) between socio-economic background and lesson passing rates. A frequency analysis showed 15.46% of U.S. students face poverty, averaging 639.4 students per district. A one-sample t-test confirmed significant childhood poverty in Texas (P < .001).
Conclusion
These findings underscore the impact of socio-economic factors on educational outcomes in urban middle schools and align with previous studies on income-related performance gaps in computerized education.