Meet the engines that do the grading.
GradeLoop isn't one model bolted onto a form; it's four specialized AI systems working as one pipeline, each obsessed with a single job.
Integrity Engine
Every submission, provenance-checked.
Before a single point is awarded, the Integrity Engine screens code for plagiarism and AI-generation signals, so the grade reflects the student's own thinking.
Similarity detection across Type 1–4
Exact matches, renamed identifiers, restructured logic and semantic equivalents, caught even across sections and semesters.
Similarity clustering & side-by-side diffs
Submissions are clustered by similarity type, so you can review every suspicious pair in a split-pane diff, with no manual cross-checking.
AI likelihood & plagiarism scoring
A calibrated score estimates how much of a submission was machine-generated or copied.
cluster · 3 submissions grouped as Type 2 · open side-by-side diff
provenance hash 0x8f3a…c21d logged
Grading & Tutoring Engine
Grades like an expert. Teaches like a mentor.
A rubric-aware LLM autograder evaluates logic, style and correctness, then a Socratic tutor turns every mistake into a guided discovery instead of a red cross.
Semantic autograder
Understands intent, not just output, and awards partial credit the way a human grader would.
Socratic-style chatbot
Whenever a student gets stuck mid-assignment, it responds with guiding questions that lead them to the answer, never the answer itself.
Instant grades & automated feedback
On submission, work is evaluated automatically and detailed feedback with a grade lands in seconds.
Stuck on something?
Pick a question and watch the tutor guide, never tell.
Learning Analytics Engine
Authenticity you can audit.
Grades are only as trustworthy as the process behind them. GradeLoop links every submission to a verified human session with granular behavior analytics.
Isolated cloud coding platform
Students work in sandboxed browser IDEs: every keystroke observable, nothing to install.
Biometric authentication & liveness
Face verification confirms the right student is at the keyboard throughout the session.
Full session playback
Replay any coding session keystroke-by-keystroke, a complete provenance trail from first line to final submit.
Struggle detection
Failed runs, long stalls and hint requests are surfaced, showing exactly where and how long each student struggled.
Face ID verified · liveness confirmed
Consistent typing rhythm, human-like
3 failed runs on edge cases, hint requested
Code lineage traced to in-session edits
Full keystroke replay available for review
Oral Assessment Engine
Viva voce, without the bottleneck.
Oral exams prove understanding, but they don't scale. GradeLoop generates competency-based viva sessions from each student's own submission and evaluates responses automatically, for entire cohorts at once.
Automated assessment generation
Questions adapt to each student's actual submission and target the competency it demonstrates, so no two vivas are alike.
Intelligent response evaluation
Speech understanding scores depth of reasoning, not keyword matching.
Scalable verification
Verify conceptual understanding across hundreds of students, consistently and fairly.
You chose a hash map over a sorted array. Walk me through the trade-off you made for memory usage.
evaluation · strong conceptual grasp · follow-up question generated on space complexity
Plugs straight into your LMS.
GradeLoop isn't a replacement for your learning management system; it extends it. Create once, link through LTI 1.3, and let the grades loop back on their own.
Create the assignment
Build your coding assignment in GradeLoop with rubric, starter code, test cases and constraints.
Link via LTI 1.3
Connect it to your existing LMS in one step. Rosters, sections and roles stay in sync automatically.
Students launch from your LMS
One click opens GradeLoop’s tracked browser IDE. No installs, no new logins, no friction.
Grades sync back
Scores and feedback flow straight into your gradebook, reviewable and overridable at any time.
Serious AI, serious outcomes.
Every piece of the stack earns its place: fairer grades, provable integrity, safe execution and a same-day LMS rollout.
Rubric-Aware AI Grading
reads logic & structure, not keywords
Cohort-Scale Plagiarism Detection
collusion caught across sections & semesters
Isolated Sandboxed Execution
student code never touches your infrastructure
Native LMS Integration
one-click rollout in Canvas & Moodle
See GradeLoop grade live.
Watch a real submission travel the full AI pipeline, from raw code to rubric score and Socratic feedback, in under two seconds.