Reporting AI Studies in Education (Raise) Framework (www.bera.ac.uk)

The newly introduced Reporting AI Studies in Education (RAISE) framework aims to enhance transparency and clarity in the reporting of AI research within educational contexts. As AI technologies like generative AI and adaptive learning platforms gain traction in classrooms, educators face challenges in evaluating the validity of claims regarding these tools’ effectiveness. The RAISE framework, comprising 30 checklist items across 10 domains, emphasizes the importance of providing comprehensive information on educational context, ethical considerations, and the role of teachers when implementing AI tools. This shift encourages researchers to go beyond technical performance and outline how AI integrates into teaching and learning processes. The significance of RAISE lies in its potential to improve decision-making in educational settings by generating more meaningful insights into AI implementations. Traditional reporting practices in educational AI research have faltered, leading to inconsistent standards that can misguide educational institutions. By fostering a nuanced discussion on the conditions under which AI can operate effectively, alongside potential risks such as bias and privacy concerns, RAISE positions itself as a crucial tool for educators. Ultimately, it seeks to bolster responsible use of AI in education, ensuring that innovations are grounded in robust, transparent evidence, making them more applicable and relevant to real-world teaching challenges.