Evidence & research
Bloom School offers a genuinely new approach to education — one that develops mastery at a personalized pace, shaped by each student’s own knowledge, skills, experiences, and needs. It builds on decades of research that traditional school systems ignore, and is made possible through the proper application of technology, including AI.
We reject the group-paced, teach-and-test model in favor of something far closer to one-on-one tutoring while providing frictionless visibility to parents and educators. However, this does not mean that classrooms and group learning environments carry no value, which is why our methods, and platform, enable both parents and schools to adopt Bloom in partnership. It’s also excellent as a standalone, comprehensive homeschooling platform.
Intentional design
Section titled “Intentional design”Bloom follows a strict, intentional design that brings evidence-based building blocks into the learning environment to create better outcomes for students.
Structured knowledge
Section titled “Structured knowledge”Hard skills are built out of simpler ones. When a child gets stuck, the real problem is usually a specific missing piece further back, not the topic in front of them.
Robert Gagné, “Learning Hierarchies,” Educational Psychologist (1968). Gagné showed that a target skill can be analyzed into the subordinate skills beneath it, ordered so that mastering the lower ones transfers upward and makes the higher one learnable. In his studies, students who had not secured a subordinate skill seldom acquired the skill above it. Most school curriculums are organized by topic or theme within a subject, not a cross-discipline hierarchy.
Bloom’s full curriculum is one connected knowledge graph, a multi-dimensional hierarchy that makes complex relationships functionally usable inside a learning system. Every Concept names its prerequisites within and across disciplines. When a child struggles, Bloom understands the exact prerequisite where reinforcement is needed.
Progressive independence
Section titled “Progressive independence”Beginners learn more from studying a solved example than from being turned loose on the problem. But the same support that helps a beginner starts to hold back a student who already has the skill, so the support fades as they grow.
John Sweller and Graham Cooper’s work on "worked examples" (from 1985 onward): novices who studied "worked solutions" outperformed those who solved the equivalent problems themselves, with later meta-analyses putting the advantage near half a standard deviation. The reverse also holds — the expertise reversal effect (Sweller, Ayres & Kalyuga) shows that guidance which helps a novice slows a more advanced learner who no longer needs it. Most classrooms give every student only one level of support rather than a faded, personalized approach.
Every Learning Unit teaches before it asks: explanation and worked examples first, then guided practice, then independent work. Support is heaviest where the skill is newest and eases off as it forms. Success criteria are stated before the work begins, so a student always knows what proficient looks like.
Practice that endures
Section titled “Practice that endures”Active recall and application of knowledge outperforms rereading alone, and distributing that active practice over time builds enduring retention.
Henry Roediger and Jeffrey Karpicke showed that pulling knowledge back out of memory creates more durable retention than rereading it. A later meta-analysis by Rowland (Psychological Bulletin, 2014) pooled 61 experiments and found recall ahead of rereading by half a standard deviation — closer to three-quarters when learners received feedback on what they recalled. Cepeda and colleagues (Psychological Bulletin, 2006) synthesized 317 experiments and found the ideal gap between reviews widens the longer knowledge must be retained. Despite this, almost all schools and curriculums use recall to measure and grade at the end of learning, not as a reinforcement tool to strengthen outcomes.
Practice inside a Learning Unit asks your child to produce the answer, not read it again — and every attempt returns feedback on what was missed, not just a score. Mastered Concepts come back for short review, with the gaps widening as the memory holds and tightening if it slips. Nothing is taught once and abandoned. What a traditional school calls a test or an assessment is not held back for the end of a unit to establish a grade — here, it is the practice itself.
Feedback that improves practice
Section titled “Feedback that improves practice”Feedback is not automatically useful. Done badly it makes performance worse. A score tells a child where they stand and nothing about what to do next.
Kluger and DeNisi (Psychological Bulletin, 1996) pooled 607 effect sizes across more than 23,000 observations. Feedback helped on average, but more than a third of the interventions they examined made performance worse. Their proposed explanation: feedback aimed at the person — a grade, a rank, praise — pulls attention toward the self and away from the work, while feedback aimed at the task is what improves it. Paul Black and Dylan Wiliam later made the same case for classrooms: assessment is only useful when it changes what happens next. Most schools deliver the version that fails — a number, at the end, with the class moving on regardless.
When a demonstration is not met, Bloom returns the specific criteria that were missed rather than a score, and assigns Learning Units aimed at exactly those gaps. Feedback becomes the next piece of work instead of a verdict on the child. There is no dead end.
Knowledge that crosses disciplines
Section titled “Knowledge that crosses disciplines”Knowing something in one subject does not mean a child will use it in another. Even when the connection is obvious to an adult, most students do not see it themselves.
Mary Gick and Keith Holyoak showed how often people fail to use something they already know on a new problem. Given a hard problem, about one in ten solved it. Others were first shown a story from an entirely different field whose solution matched the problem exactly — still only about three in ten used it. Told plainly that the story was a hint, roughly eight in ten solved the problem. They had been given the answer and did not recognize it as one. Schools mostly leave integrated learning and application of knowledge to chance, teaching subjects in siloes and hoping students will make the connections.
Integrated Learning across subjects is a core tenet of Bloom — something found in almost no other curriculum. Learning Units, Proficiency Demonstrations, and Projects develop synthesis and critical thinking skills by applying knowledge mastered across multiple disciplines. Students are guided to recognize the crossovers, and over time begin make these connections independently.
Mastery before moving on
Section titled “Mastery before moving on”Conventional curriculums move groups of students through a straight-line process, based on a single calendar, leaving gaps in the knowledge of some students while holding others back. In both cases, students do not reach their full potential.
Benjamin Bloom argued in the 1960s that nearly all students can reach a high standard if allowed the time. Kulik, Kulik and Bangert-Drowns (Review of Educational Research, 1990) pooled 108 controlled studies of programs built on that idea and found they raised exam scores by roughly one-half standard deviation — enough to move a student from the middle of the class into the top third. Bloom’s own ambition was larger: he documented how one-on-one tutoring produced far greater gains than group teaching and challenged the field to close that gap.
Personalize learning is the most critical element of our system, from custom timelines and Learning Units to the effective replication of one-on-one tutoring through technology. Bloom uses our the Adaptive Mastery Framework, and AI, to scale **feedback, personalization, and guidance** for better outcomes.