This report from the Community for Advancing Discovery Research in Education (CADRE) presents a comprehensive framework and tools for upholding ethical practices in artificial intelligence (AI) research within the education sector. It highlights the potential positive impact of AI in education while acknowledging significant risks, especially regarding the perpetuation of biases. The report introduces an ethical AIED framework grounded in justice, respect, and beneficence. It offers practical tools for guiding AIED model design and evaluation: reflection maps to connect theory with ethical practices, data design strategies to ensure ethical data use, and model cards to assist educators and researchers in analyzing, documenting, and communicating AI's potential benefits and risks. This resource may be helpful to educators, policymakers, and researchers committed to integrating AI in education responsibly and effectively, ensuring its positive and equitable impact across educational environments.