How to Automate Formative Code Review with AI

How to Automate Formative Code Review with AI

At a Glance

• Best for: University lecturer / tutor
• The problem: Scaling high-quality, personalized feedback on student code in large cohorts.
• Saval capability used: AI-Powered Assessment / AI Marking with Code IDE.
• Plan needed: Pro (includes Code IDE).
• Time to try it: About 15 minutes to set up.

AI marking provides automated, rubric-based feedback on student code submissions in real-time. By integrating an AI coding tutor within a problem-based learning platform, educators can offer instant corrections and guidance, allowing students to iterate on their code while maintaining high pedagogical standards for formative assessment.

The Challenge of Feedback in Software Development Education

Consider a university lecturer managing a 200-student introductory programming unit. The biggest bottleneck is often the feedback loop; students submit code, wait a week, and receive comments that are no longer relevant to their current learning trajectory. This delay hampers the ability of computer science students to learn programming through trial and error, which is the cornerstone of effective software engineering education.

A Practical Approach to AI-Assisted Assessment

Rather than using an AI coding assistant to simply generate answers, educators can leverage AI as a formative partner. By designing open-ended, problem-based scenarios, you encourage students to reason through logic before writing code. When this work is paired with AI that evaluates submissions against a predefined rubric, students receive immediate feedback—not just on whether the code runs, but on style, complexity, and approach.

How to Do It with Saval

1. Navigate to your dashboard and create a new session, selecting the Code IDE feature available on the Pro plan.
2. Define your problem-based challenge within the scenario editor. Ensure you include clear learning objectives that guide the student's logic.
3. Configure the AI-Powered Assessment settings. Set your strictness level and input your specific rubric criteria, which the AI will use to evaluate student submissions. [SCREENSHOT: The AI rubric configuration settings panel]
4. Launch the session. Students join via a QR code or quiz code and write their code directly in the browser-based IDE.
5. As students submit, the AI immediately returns a score and detailed feedback, allowing them to refine their work instantly.
6. Use the Performance Dashboard to view real-time data on class understanding and identify students who need additional one-on-one support. [SCREENSHOT: The live performance dashboard showing student progress]

FAQ

Can the AI handle multiple programming languages? Yes, the built-in Code IDE supports over 20 languages, including Python, JavaScript, and TypeScript, which covers most introductory computer science requirements.

Does the AI replace my grading? No, the AI acts as a formative assessment tool. It provides immediate feedback to students during the learning process, leaving you to focus your time on high-level instruction and complex student needs.

What This Means for Your Role

For a university lecturer, this workflow removes the manual labor of routine syntax checks, allowing you to focus on pedagogical design. You remain in control of the "answer key" through your custom rubric, ensuring that the AI enforces your specific teaching philosophy. The main limit is that AI feedback is a support tool, not a replacement for your professional judgment in summative evaluation.

Try This Tomorrow

Take one of your existing coding exercises, strip out the step-by-step instructions, and turn it into a single, open-ended problem-based scenario. Run it as a live session with your students to see how immediate feedback changes their engagement levels during the lesson.

Takeaways

• Use problem-based learning to force students to practice reasoning, not just syntax.
• Automate routine code review to give students immediate, formative feedback.
• Monitor class progress via the Performance Dashboard to identify where common misconceptions are occurring.
• Maintain pedagogical control by customizing AI rubrics to reflect your specific learning outcomes.

New teacher accounts include a 30-day Enterprise trial, so you can test AI marking and analytics with a real class before choosing a plan at https://www.saval.app/pricing.