Capacity
Feedback cannot scale
Teachers are asked to give dozens of learners detailed, substantial, and timely feedback—often while supporting more than 100 students across their classes.
Platform in development
Teacher-directedAI coaching,made for the classroom.
AI-powered learning journeys that amplify teacher pedagogy, deepen student thinking, and dramatically expand real-time feedback.
Aluma partners with teachers to bring tutoring-level feedback, adaptive practice, and metacognitive coaching into daily class time.
- Teacher-led
- Curriculum-aligned
- Designed for class time
The challenge
More learners. More needs. The same class period.
Educators know how to structure meaningful learning. What they lack is enough time to personalize that structure, practice, and feedback for every learner in the room.
Pacing
One pace rarely fits
Set pacing pushes some students forward before they are ready and leaves others waiting, limiting learning, confidence, and motivation.
Pedagogy
Chatbots are not pedagogy
General AI can answer the next question, but it rarely sustains the carefully sequenced practice that builds deep thinking within a discipline.
Our solution
Keep the teacher at the center. Extend their reach.
Aluma is a teacher-directed AI integration layer. Educators shape adaptable learning coaches around their goals while a rich pedagogical model supports critical thinking, creative expression, metacognition, ownership of ideas, and long-term retention.
Adaptable
Built around the teacher’s intent
Learning journeys target core thinking skills while remaining adaptable to the curriculum and local goals of each teacher and class.
Individual
Practice that changes pace
Students receive individualized instruction, mastery-based pacing, actionable feedback, revision opportunities, and metacognitive coaching.
Human
Technology in its proper role
AI extends instruction, feedback, and practice while preserving the centrality of teachers and the relationships they form with students.
The learning pathway
A purposeful loop, directed by the teacher.
Aluma fits meaningful cycles of instruction, practice, feedback, and reflection into regular fifteen- or twenty-minute periods within a single class.
- 1
Set the learning intention
Teachers adapt a learning coach to their curriculum, discipline, and local goals.
- 2
Practice the thinking
Students move through a purposeful sequence that targets the core thinking skills behind the work.
- 3
Revise with precise feedback
The coach adjusts pace, offers actionable feedback, and creates another chance to improve.
- 4
Bring insight back to the room
Teachers stay close to student thinking and gain more space for individual conferences and human connection.
Early validation
Promising signals. Careful measurement.
We are refining the models and measuring impact. In initial architecture validation and prototype trials, we are seeing:
A dramatic increase in specific, timely feedback per student within the same amount of class time
More cycles of practice and revision
Positive student engagement and feedback
Teacher-time recovery, allowing for more one-to-one conferences during a class period
Positive parent response and high opt-in rates when the model is explained clearly
Sustained interest from teachers and administrators in the promise of the approach
Closed beta
Make more room for every student’s thinking.
Aluma Learning is in development with teachers. Request access to explore a more deliberate way to bring AI into class.