Dodona is an automated assessment platform for programming exercises that runs unit tests, performance benchmarks, and style linting to deliver instant feedback to students. It offers instructors and institutions analytics dashboards, reusable exercise authoring tools, plagiarism detection, and SSO‑enabled, GDPR‑compliant user management.
Funding
Funding not disclosed
Founders
Product
Problem
Students often receive delayed or inconsistent feedback on programming assignments, making it difficult to correct errors promptly, while instructors must manually grade large volumes of code, which is time‑consuming and prone to variability.
Solution
Dodona is an intelligent practice platform that automates the assessment of programming exercises. When a student submits code, the system runs unit tests, performance benchmarks, and style linting to generate immediate, actionable feedback. The platform aggregates submission data into learning‑analytics dashboards that highlight individual progress, common misconceptions, and engagement trends, enabling instructors to intervene early. Exercises can be authored or imported with version‑controlled metadata, and reused across courses or institutions. Integrated plagiarism detection helps maintain academic integrity, and single sign‑on (SSO) with major identity providers streamlines user management. All data handling complies with GDPR, ensuring privacy‑first operation for schools, universities, and publishers.
Target Audience
Primary users are secondary and higher‑education instructors, curriculum designers, and institutional IT administrators who run programming labs, homework, or exams; publishers of educational coding content also benefit from the platform’s authoring and analytics capabilities.
Features
- Automated unit‑test execution, runtime performance measurement, and code‑style linting that return feedback within seconds
- Real‑time feedback loop displayed in the built‑in code editor or via IDE integration
- Learning‑analytics dashboards showing submission timelines, error patterns, and mastery metrics for each student and cohort
- Authoring toolkit with reusable exercise libraries, Git‑based version control, and metadata templates for rapid content creation
- Built‑in plagiarism detection engine that flags suspicious code similarity across submissions
- Enterprise‑grade SSO support (Microsoft, Google Workspace, Smartschool, SURFconext) and centralized licensing dashboards
- GDPR‑compliant data storage with minimal collection, transparent privacy statements, and role‑based access controls
- White‑label options and usage analytics for publishers distributing interactive programming content