Educational Policy
Educational policy research is increasingly focused on leveraging artificial intelligence (AI) to improve learning outcomes and address systemic inequities. Current research explores the use of large language models (LLMs) for efficient policy analysis, generative AI's impact on student learning (both positive and negative), and the ethical implications of AI-driven educational tools. Findings highlight the need for careful consideration of AI biases and the development of responsible AI integration strategies to ensure equitable access and maximize educational benefits, while also emphasizing the importance of human oversight and the potential for AI to enhance, not replace, human expertise in education.
Papers
July 31, 2024
January 30, 2024
December 2, 2023
September 23, 2023
April 11, 2023