The Impact of Adaptive Learning on Student Performance: Evidence from a Randomized Field Experiment
Smith, J., Johnson, M., & Lee, S. (2022)
This study examines the effects of an AI-driven adaptive learning platform on middle school mathematics achievement. Results show a statistically significant improvement of 15% in test scores compared to traditional instruction methods.
Personalized Learning and Student Motivation: A Meta-Analysis
Chen, L., & Wang, H. (2021)
Meta-analysis of 35 studies on personalized learning systems reveals a moderate positive effect on intrinsic motivation (g = 0.42), particularly for students with low initial motivation levels.
AI in Education: Case Studies of Implementation Challenges
Rodriguez, P., et al. (2023)
Qualitative analysis of 12 schools implementing AI learning systems identifies key challenges including teacher training needs, data privacy concerns, and the importance of maintaining human interaction in learning processes.