Fordel StudiosEducation Assessment Analyzer
Automated grading and learning gap analysis that gives teachers actionable insight.
The problem
being solved
A university department with 15 instructors teaching 2,000+ students spends 10-15 hours weekly on grading. For essay courses, grading is the largest time commitment after lecture prep. Feedback turnaround averages 1-2 weeks — by then students have moved on and feedback is less actionable.
Gradescope (Turnitin) handles varied assignments from exams to coding projects. Curipod supports AI content creation and formative assessment. But these focus on individual assignments, not longitudinal gap analysis across a student's history.
The deeper problem: grading tells you performance on one assessment. It does not identify which concepts a student has not mastered, how understanding progresses, or who needs intervention before the final.
How this
agent works
The agent grades using rubric-based evaluation per assignment type. Essays: thesis clarity, argument structure, evidence quality, mechanics. Problem sets: solution checking and multi-step error identification. Coding: test suites plus quality, efficiency, and documentation evaluation.
Beyond grading, it builds per-student competency profiles across all assessed learning objectives. Tracks mastery, partial understanding, and gaps. Persistent struggles flagged with targeted resource suggestions.
Instructors get class-level analytics: concepts mastered collectively, topics needing re-teaching, at-risk students. Transforms grading from administrative burden into diagnostic tool.
Built on Anthropic Claude with FastAPI, connected to your LMS via its native API (Canvas REST, Blackboard Learn, Moodle Web Services). Course rubrics and learning objectives are modeled in PostgreSQL; Redis handles async grading queues so bulk submissions don't block the UI. A React dashboard surfaces class-level analytics and per-student progress. Full integration and rubric setup runs 2–3 weeks.
- 01
Multi-Format Grading
Grades essays, problem sets, short-answer, and coding assignments using rubrics defined per course. Each score includes a plain-language explanation referencing specific rubric criteria — no black-box outputs.
- 02
Learning Gap Identification
Maps each submission against course learning objectives and tracks competency over time per student. Flags objectives where a student has missed the mark across two or more assessments and surfaces them for instructor review.
- 03
Personalized Feedback
Generates per-student feedback that cites the rubric, names what was done well, and gives concrete steps for improvement. Tone and depth are configurable per assignment type — a coding problem gets different feedback structure than an essay.
- 04
Class Analytics
Aggregates submission data into a class-level mastery view: which objectives need re-teaching, which students are at risk, and where the cohort is strongest. Gives instructors decision-ready data before the next class session.
Build this agent
for your workflow.
We custom-build each agent to fit your data, your rules, and your existing systems.
Free 30-min scoping call