The best way to sum up Innovation’s support of mastery learning is customization. A foundational principal of mastery learning is to identify areas where students need more work and then to provide that practice.
Innovation’s data analysis tools, including AI supported analyses, facilitate accurate and speedy identification of areas for continued student support.
Innovation’s AI teaching assistant makes generating these customized training and study tasks very efficient, effective, and rapid.
Mastery learning is an instructional approach in which students progress at their own pace, demonstrating a high level of understanding through frequent formative assessments and targeted corrective feedback before moving on to new material. By design—clear goals, adaptive pathways, real-time feedback, and built-in remediation—the Innovation platform strongly supports a mastery learning approach.
Mastery learning begins at finding out where the students are. Pretests assessing prior knowledge are important to find students’ entry point into the curriculum. At Innovation, pretests are easily constructed (especially true with AI integrations for assessment creation and data analysis) and saved to teachers’ course list for later re-use.
In a mastery learning approach, students have regular opportunities for formative assessment and to track their progress. At Innovation, task development and assessment is strongly supported by artificial intelligence. Instant scoring and annotated feedback in “debriefing” mode both help support the kind of formative feedback so important to track progress and chart the course.
Data-driven decision making is a cornerstone of the mastery learning class. Innovation’s proctor AI tracks student activity and progress and reports useful summaries with analysis to guide the next steps.
So let’s think about what makes mastery learning difficult to implement. Designing varied, on-level practice problems is a hill to climb. Writing multiple versions of questions (with different contexts, difficulty levels, etc.) to hit each student’s zone of proximal development can be very time consuming.
But that’s where Innovation truly shines: removing the friction from implementation.
One of the greatest barriers to mastery learning in traditional classrooms is the sheer labor it demands. Teachers are already stretched thin, and the work of creating varied, on-level practice tasks tailored to individual needs — often in multiple formats and difficulty bands — can seem insurmountable. Similarly, analyzing formative data, spotting patterns, and designing the right interventions in a timely way is hard when done manually.
Innovation helps teachers overcome these hurdles. Our AI tools generate differentiated practice materials in seconds, informed by real student data. They can craft multiple versions of an assessment item that target different skill levels or learning gaps, and even suggest scaffolded supports or enrichment challenges for advanced learners.
What’s more, Innovation’s platform makes tracking progress and growth transparent for both teacher and student. Students can see their own progress through clear visualizations and feedback, helping build motivation and ownership of learning. Teachers, in turn, can make quick, informed decisions about who needs more support, who’s ready to advance, and what kinds of practice will be most effective for each learner.
At its heart, mastery learning is about equity — ensuring every student has the time, support, and resources to truly master each concept before being pushed forward. Innovation empowers teachers to deliver on that promise, making mastery learning not only possible, but practical and scalable.
With Innovation, mastery learning becomes less of an ideal and more of a reality: a personalized pathway for every learner, supported by data, driven by AI, and guided by the teacher’s expertise.