How we use AI

Bloom aims to be among the most effective uses of AI in education—measured by learning outcomes and integrity of the record, not by how much of the day is spent conversing with a model.

Our approach does not discard proven methods in favor of “AI school.” AI works with research-backed practice so your child receives better feedback, better sequencing, and less wasted time.

What AI does for your child’s learning

Bloom uses AI to…	What remains fixed
Guide and tutor during practice	Mastery rules and readiness gates
Provide faster, clearer formative feedback	What “proficient” means on a demonstration
Customize Learning Units and areas of focus to your child’s personal needs	Released curriculum, proficiency criteria, and readiness gates
Personalize explanations, examples, and emphasis	Our knowledge graph, prerequisites, and what counts as mastery
Help you and teachers interpret progress	The underlying record of what was practiced and demonstrated

What AI does not do

Declare mastery without Bloom’s evidence rules
Unlock the next step based on conversational tone or points accumulated
Replace you or a teacher as partners in your child’s education
Substitute for the structured curriculum and knowledge graph

Decisions that matter most—what is available, when they are ready, when they have mastered something—rest on clear rules and evidence. AI assists. It does not become the gradebook.

Methods first

AI is most useful when the design around it is already sound. The Bloom method builds on mastery learning—practice (Learning Units) before high-stakes demonstration (Proficiency Demonstrations, not quiz culture), remediation without dead ends, spaced review, scaffolding, and application (Projects). See Evidence & research.

Trust, age, and your family

Student-facing AI remains scoped to learning goals
You and teachers see progress from the same underlying record AI may help explain
Sign-in and access follow our family model—see Signing in