How to Use AI Agents for Formative Assessment in PBL

Elevating PBL with Agentic AI

Consider an illustrative scenario: a Year 10 science teacher, Sarah, wants to move away from summative testing to focus on autonomous learning. She struggles to provide immediate feedback to 30 students working on distinct, complex problem-based scenarios. This challenge of scaling personalized support is at the heart of digital transformation in education.

At a Glance

• Best for: School teacher (K-12)
• The problem: Scaling meaningful feedback during complex, student-led problem solving.
• Saval capability used: AI-Powered Assessment / AI Marking
• Plan needed: Free (with AI-Powered Assessment)
• Time to try it: about 15 minutes to set up

As AI agents in education evolve, they act as cognitive partners for both teachers and students. By leveraging AI agents for teachers, educators can automate the formative assessment process, ensuring that students receive immediate, evidence-based feedback on their reasoning. This supports the move toward agentic AI, where systems don't just provide static answers but engage in the nuance of a student's problem-solving process, aligning with a thoughtful AI competency framework.

How can AI support ethical formative assessment?

AI adoption in the classroom requires a focus on AI ethics in education. For a platform to be useful, the teacher must remain the primary architect of the learning experience. Using AI-Powered Assessment allows teachers to set custom rubrics and control AI strictness. This ensures that the "agent" grading the work is following the teacher's pedagogical intent, maintaining the integrity of the learning process.

1. Choose the Class Quiz or a similar gamified learning mode.
2. Configure your rubric and AI strictness level to ensure the assessment aligns with your specific lesson goals.
3. Design your problem-based scenarios with rich context or embedded images.
4. Students join via QR code and submit their reasoning, receiving immediate feedback from the AI agent.
5. Review the performance dashboard to identify which groups need intervention.

Frequently Asked Questions

How do AI agents help with autonomous learning? By providing instant feedback, AI agents allow students to iterate on their solutions without waiting for teacher intervention, fostering a cycle of continuous improvement.

Is AI grading ethical? It is when the teacher retains control of the rubrics, strictness, and the ability to toggle feedback visibility, ensuring the AI acts as a tool under human guidance.

What This Means for Your Role

For the classroom teacher, this shift turns the AI competency framework from an abstract concept into a daily practice. You remain the final authority on grading, while the AI manages the heavy lifting of processing student responses. The main limit is ensuring your prompts remain closely aligned with the specific objectives of the problem you have designed.

Try This Tomorrow

Select one 15-minute challenge from your current unit. Use the Saval platform to set up a quick quiz where students must explain their reasoning for a real-world problem. Review the AI-generated feedback to see if it matches your expectations for your students' level of inquiry.

Takeaways

• Use AI agents to scale feedback in problem-based learning without losing your pedagogical touch.
• Maintain ethical standards by setting explicit rubrics and controlling AI strictness.
• Focus on formative assessment to encourage student autonomy.
• Use performance dashboards to intervene only where human expertise is required.

Run your first Class Quiz on the Free plan; students join with a QR code.