Teachers - Get Your Weekends Back
Generic AI models hallucinate and fail at specific academic rubrics. Class Architect is built explicitly as a rubric-aligned AI grading and marking tool for higher education, ensuring that student feedback matches specific learning criteria verbatim.
Student: Alex Mercer
For task 1, I have evaluated the server architecture parameters. The hardware configuration relies on load-balanced virtual machine nodes. Each cluster node runs an instance of the backend core which acts as a processing endpoint.
However, this vm-based cluster layout experiences scaling latencies of up to 4 minutes during spikes. I recommend transitioning to containerized Kubernetes deployment to support sub-30 second pod replicas.
The student correctly identified VMs and cluster nodes as processing endpoints in the backend core architecture.
The student recommended Kubernetes but did not provide the strategic deployment orchestration details required. Action: outline the pod replicas configuration.
Outputs student feedback that directly references grading criteria codes, showing exactly what was met and where criteria fell short.
Conforms to Level 4, 5, and 6 specifications, maintaining appropriate academic rigor and vocabulary in assessments.
Upload your own assessment criteria document. The system locks grading to these criteria and refuses to construct vague generic feedback.