Expert methodology overview · review version
What Sense & Think aims to test — and what it does not yet claim.
Sense & Think is an emerging hands-on learning system for children aged 6–9. It develops sound judgement about AI through physical activities, control of error and guided discussion before children begin using AI tools.
Pedagogical foundations
The project combines Montessori control of error, children’s metacognition, screen-free AI literacy, evidence reasoning, appropriate uncertainty, human oversight and data minimisation. Montessori is not used as a visual style: the material must provide independent feedback and allow correction without an adult’s verdict.
Learning hypothesis
If a child first experiences patterns, incomplete evidence, the limits of a rule and the possibility of correction physically, they may later distinguish more accurately between an output, evidence and uncertainty in a digital system.
How it will be measured
Evaluation will examine explanations in the child’s own words, new transfer situations, decisions with incomplete information, data-minimisation scenarios, recognition of the need for human judgement, independent correction and teacher usability.
Current status
The website contains explanatory digital simulations. The first physical materials are in development and will undergo methodological review, testing with children and teachers, and iteration. The project does not yet claim demonstrated learning impact or a finished production system.
What we are seeking from partners
Methodological critique, access to suitable pilot environments, observation of teacher usability, and research collaboration on performance and transfer tasks.