Purpose
Reduce repetitive grading effort while improving consistency, transparency, and feedback quality for students.
Early access
aiDACTO is a platform for programming courses. It helps lectors manage students and assignments, coordinate school-based cohorts, and analyze student repository submissions with AI-assisted feedback.
Reduce repetitive grading effort while improving consistency, transparency, and feedback quality for students.
Lectors, school admins, and institutions running programming classes with structured assignment workflows.
Feedback is grounded in your own rubrics and test cases, and you stay in control: AI findings are suggestions you review before anything reaches your students.
aiDACTO is in an early testing phase. We invite lectors to try it with their own courses and help shape the platform with their feedback.
Questions first? Contact us at office@cninnovation.com.
Analyze student repositories against the task description, rubric, and test cases, and get structured findings per criterion.
Compare submissions across a whole class to spot common mistakes and patterns at a glance.
Build libraries of task descriptions, rubrics, test cases, and agent skills, and reuse them across courses.
Create a repository per student with the task information included, following your naming conventions.
Manage students and cohorts per school, shared between the lectors affiliated with it.
Review, adjust, and override AI findings before submitting feedback to students.
What's coming next:
The roadmap reflects current plans and may change. Early testers help us decide what comes first.
Step-by-step tutorials with screenshots are coming soon.