Learn actively, one card at a time.
Students work through focused cards, answer, compare, apply, and receive feedback while the platform keeps progress visible.
Science-based learning journeys that help professors turn class material into practice, feedback, and visible progress without giving up teaching control.
Students do not learn deeply because a PDF was uploaded or a quiz was assigned. They learn when they retrieve, reason, apply, receive feedback, and improve while the professor still owns the teaching decision.
Students work through focused cards, answer, compare, apply, and receive feedback while the platform keeps progress visible.
Professors can generate a first draft from real class material, refine the learning path, and publish only when the class is ready.
School teams can follow usage, completion, progress, and assessment signals from one school shell.
Kapeeto classes are generated around a structured sequence based on educational science: Bloom's taxonomy, cognitive load theory, active learning, spaced repetition, and dual coding.
Reactivate essential facts, vocabulary, names, definitions, events, formulas, or distinctions without overloading the student.
Help students see structure: categories, causes, contrasts, sequences, relationships, and why parts belong together.
Make students use the material in a concrete example, problem, scenario, procedure, or source-specific situation.
Ask students to judge quality, evidence, tradeoffs, strengths, limits, and alternatives using criteria from the class.
Let students synthesize what they learned into an explanation, proposal, map, question, plan, or solution.
Kapeeto is built around the daily work of teachers and students: professors prepare, publish, and read progress; students practise through cards, feedback, and visible next steps.
Teachers keep control of course structure, class publication, student progress, and result signals from the professor view.
Students work through cards, answer, compare, receive feedback, and always know what to do next.
Start with one school shell, one motivated professor group, and a short 30-day pilot that proves whether students use it, learn from it, and whether professors want to keep it.
Align on subjects, classes, data questions, and the right first group.
Create the school workspace, invite admins and professors, and prepare the first classes.
Review usage, completion, progress, assessment signals, and AI/API usage after the first cycle.
We will use this to understand your context and follow up from the Kapeeto side.