AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms LearnLM Team, Google & Eedi One-to-one tutoring is widely considered the gold standard for personalized education, yet it remainsprohibitively expensive to scale. To evaluate whether generative AI might help expand access to thisresource, we conducted an exploratory randomized controlled trial (RCT) […]
Designing Safe and Relevant Generative Chats for Math Learning in Intelligent Tutoring Systems
Designing Safe and Relevant Generative Chats for Math Learning in Intelligent Tutoring Systems Abstract Large language models (LLMs) are flexible, personalizable, and available, which makes their use within Intelligent Tutoring Systems (ITSs) appealing. However, their flexibility creates risks: inaccuracies, harmful content, and non-curricular material. Ethically deploying LLM-backed ITSs requires designing safeguards that ensure positive experiences […]
Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI- Math Tutor in Ghana
Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI- Math Tutor in Ghana Abstract This study is a preliminary evaluation of the impact of receiving extra math instruction provided by Rori, an AI-powered math tutor accessible via WhatsApp, on the math performance of approximately 500 students in Ghana. Students assigned to […]