Courses, quizzes, live sessions, analytics, and an AI that teaches instead of telling. One fast system professors and students can use without wrestling another plugin stack.
15 minutes. We mirror your syllabus and show Scholera running on your actual course content.
Built for institutions and students.
Stuck on the induction step for Theorem 3.2 - is the IH strong enough?
The whole platform · 60-second tour
Week 1
Transformers & Attention
Introduction to CNN
Computer vision foundations from lecture and readings.
Lecture 1 - Self-Attention
Transformer concepts connected to this week's module.
Each surface shares the same course context, permissions, and audit trail, so faculty and students stay inside one coherent system.
PDFs, decks, comments, recordings, quizzes, and feedback resolve into the same course-specific memory.
Create reusable question banks, generate drafts from course material, and publish assessments with grading controls intact.
Q1 · Text
Define O(n log n) in your own words.
Q2 · Formula
Derive the recurrence T(n) = 2T(n/2) + n.
Q3 · Image
Identify the heap violation in the diagram below.
Q4 · Text
Compare merge sort vs. quick sort worst case.
Projects, submissions, rubrics, and examples stay organized by course, cohort, and topic instead of disappearing into folders.
Real-time gradient descent visualizer
92ML model for course-load prediction
78Bloom-filter spell-checker in Rust
64Professors, TAs, students, and administrators each get the right surface without splitting the course across separate products.
Professor
Course owner
TA
Drafting & review
Student
Learner
Institution
Outcomes & rollout
Capabilities
Scholera's Adaptive Intelligence layer powers every feature, so students are never left guessing.
Scholera turns your course materials into an interactive map of every topic — a clickable tree where each node opens the real lecture, reading, or quiz behind it. Students always see where they are, what they've covered, and what comes next.
57% complete
Three quiet steps. Then the LMS your university already runs becomes adaptive, intelligent, and responsive to every student.
Scholera works with Canvas, Blackboard, Moodle, and Brightspace. No migration, no new student accounts, no disruption to the course infrastructure your university already trusts.
The intelligence layer reads your syllabus, lectures, and assessments. It learns each professor's pedagogy and each student's pace before it ever assists.
Personalized learning paths, context-aware tutoring in your voice, and faculty signals appear right where teaching and learning already happen.
Voices from the Computer Science department and undergraduate academic leadership.
“Scholera adapted to how I actually teach - my notation, my emphasis, the edge cases I care about. The biggest shift was at office hours: students arrived with sharper questions because the basics had already been resolved in their own time, in my voice.”
Dr. Zining Zhu
Assistant Professor, Stevens Institute of Technology
“What stands out is that Scholera doesn't ask faculty to migrate. The LMS our students already log into stays the LMS - the AI layer just sits on top. That's the only way I'd seriously consider deploying something like this in my course.”
Dr. Hao Wang
Assistant Professor, Stevens Institute of Technology
“Higher education has to figure out how to use AI without breaking the systems we already run on. The approach Scholera is taking - augmenting the LMS instead of replacing it - is the one that maps to how curriculum actually moves at a university.”
Prof. Kevin Lu
Associate Dean for Undergraduate Studies, Stevens Institute of Technology
Everything you need to know before rolling out Scholera campus-wide.
Need something specific? Talk to us.
15 minutes. You bring the syllabus - we show Scholera running on your actual course.
We mirror your syllabus and grading style live on the call.
0%
Outcome improvement
Measured performance gain
0+
Active students
In the Stevens pilot cohort
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Live courses
Across core departments
24/7
AI support
Always available, context-aware