The target dosage was for students to use the AI tool during two of their four weekly math periods, equalling 12 hours of Guided Learning over the eight weeks .
The intervention wasn't simply handing students a chatbot. It followed a strict pedagogical framework designed to make the AI a partner in a collaborative learning process:
To prepare, teachers defined lesson objectives, wrote starter prompts, and drafted question stems on the chalkboard to scaffold how students interacted with Gemini .
The trial produced statistically significant gains, but the magnitude of the effect depended heavily on how much the tool was used and the student's starting point.
One of the most revealing parts of the study was the transcript analysis of over 113,000 student-Gemini interactions. It painted a picture of the AI acting not as an answer machine, but as a tutor.
The vast majority of conversations—91.4%—were focused on mathematical understanding . Gemini's own behavior was carefully steered by the Guided Learning feature: it posed scaffolding questions in 76.4% of its messages, pushing students to think for themselves, and provided a direct solution in just 2.1% of cases
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The finding that initially higher-performing students gained the most prompted researchers to flag a significant concern. Without deliberate strategies to support lower-performing students, the intervention risks widening existing attainment gaps rather than closing them .
Qualitative feedback from teacher focus groups added another dimension to the results. Teachers reported a noticeable increase in student engagement and more active classroom participation . Many began using Gemini for lesson preparation, discovering new ways to explain complex topics like fractions
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Crucially, teachers described a shift in their own professional identity, feeling their role evolve from "lecturer" to "facilitator," moving around the classroom to support student pairs .
Not all feedback was positive. Some teachers reported challenges, including Gemini occasionally introducing off-topic content or slowing the class's progress through the planned curriculum .
While the results are positive, the researchers are careful to outline several limitations that should contextualize the findings:
The Sierra Leone trial is just the beginning. It is the first in a planned international series of preregistered trials by Google DeepMind and Fab AI to study Guided Learning across different education systems . In a move toward transparency and scalability, the partners publicly released their teacher training materials and a rapid RCT playbook alongside the results, providing a blueprint for other researchers and education systems
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